Who we are ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI. 

Responsibilities : In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

• Qualify the feasibility of Use Cases, translating business challenges into technical formulations
• Define the business and statistical hypothesis, and build the solution followed by testing and validation
• For those Use Cases that are validated, you will help develop a production-ready solution.

When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to choose given the specific context and constraints. You are a key contributor to the design of the solution. You develop data visualisation features to generate insights and support data storytelling. You iterate with the business in an agile way to develop, adapt and refine the solution to enable maximum business impact. You design, build, maintain, and troubleshoot the data models integrated into the solutions delivered : 

• Assess the quality of the data; clean and aggregate when necessary
• Compare and choose the right algorithms based on defining the right statistical hypothesis
• Develop and train models
• Follow principles of MLOps when moving models to productions
• Troubleshoot the models in production

Profile Minimum requirements : 

• Must have at least 3 years of prior Data Science experience
• VERY Proficient in Python
• Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline
• Excellent interpersonal and communication skills
• Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
• Ideally Fluent in English

Preferred requirements : 

• Preferred experience in Consulting;
• Preferred experience in Cloud Technologies;
• Good knowledge of Spark;
• Good knowledge of MLOps principles.
  
  

Come join us ! 

Who we are ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI. 

Responsibilities : In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

• Qualify the feasibility of Use Cases, translating business challenges into technical formulations
• Define the business and statistical hypothesis, and build the solution followed by testing and validation
• For those Use Cases that are validated, you will help develop a production-ready solution.

When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to choose given the specific context and constraints. You are a key contributor to the design of the solution. You develop data visualisation features to generate insights and support data storytelling. You iterate with the business in an agile way to develop, adapt and refine the solution to enable maximum business impact. You design, build, maintain, and troubleshoot the data models integrated into the solutions delivered : 

• Assess the quality of the data; clean and aggregate when necessary
• Compare and choose the right algorithms based on defining the right statistical hypothesis
• Develop and train models
• Follow principles of MLOps when moving models to productions
• Troubleshoot the models in production

Profile Minimum requirements : 

• Must have at least 3 years of prior Data Science experience
• VERY Proficient in Python
• Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline
• Excellent interpersonal and communication skills
• Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
• Ideally Fluent in English

Preferred requirements : 

• Preferred experience in Consulting;
• Preferred experience in Cloud Technologies;
• Good knowledge of Spark;
• Good knowledge of MLOps principles.
  
  

Come join us ! 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The team

One of the most versatile teams of Artefact, our growing Data & Analytics team are present in many aspects of our data consulting projects: data collection, processing, and visualisation; but also giving insights and inputs on the business and digital media aspects.

Half of the team also works as the master of data solutions for our clients: dashboarding, business intelligence or web analysis.

Mission

As a Data analyst, you will be conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data. It is up to you to extract valuable insights from our clients’ marketing-related data sources and to design dashboards for marketing decision-making while taking into account the business needs.

Depends on the mission(s), you might also find yourself accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.

Desirable skills

If:

• You have experience or have knowledge in data driven environment
  
• Master of Data collection and data visualisation tools, programming in SQL or Python are your jam;
  
• Some of these speak to you: Cloud technologies, API connection, ETL, Advertising tool…

Or you are interested in learning those skills and use it in your work, contact us!

Why should you join us

• Artefact is the place to be: come and build the future of data and marketing
• Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone.
• Action: We make things rather than telling people how to make them.
• Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other.

Come join us!

Who we are

What you will be doing: Key responsibilities

As a Manager Data Analyst, your role will encompass:

• Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
• Extracting valuable insights from our clients’ marketing-related data sources.
• Designing dashboards for marketing decision-making while taking into account the business needs
• Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
• Actively contributing to the expertise level and competencies of the Data & Analytics team
• Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

Being a great tech role model

• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
• Researching and developing new technical approaches to address problems efficiently
• Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
• Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & experience required

• Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :

  • A minimum of 3 year of work experience in a data-driven working environment
  • 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
  • 1 or 2 programming languages among SQL, Python and/or R.
  • 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...) 

  In addition, you have the knowledge in one or more of the following technologies:

  • Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
  • You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
  • Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)  
  • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
  • Web application (R-Shiny, Python Flask) that you have industrialized

  Ideally you have: 

  • Knowledge of statistics 
  • Knowledge of machine learning and data engineering

What we are looking for

• A Doer: you get things done and inspire your team to do the same
• An Analyst: you LOVE data and think every company should take their decisions based on facts
• A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
• A Mentor: your clients and colleagues naturally seek you out for advice
• An Adventurer: you’re an entrepreneur constantly looking for business opportunities

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

Who are we ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

To support and develop its growth, Artefact Morocco is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to  advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model  of the water rises (Greenpeace).

Your responsibilities:

• Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  
  
• Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  
  
• Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  
  
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 

Your mindset 

• Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…
• Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
• Entrepreneurial: you bring solutions, new ideas, within your team at Artefact

Profile :

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and indexation systems (ElasticSearch, Vespa) is a plus
• You are really skilled in the command line *nix
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English

Why join us :

•  Innovative projects and technologies, exciting
•  Really competent team, co-progression guaranteed
• Strong ambition for the data department, full of progression opportunities (technical, management)
• Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...

Come join us !

Who are we ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

To support and develop its growth, Artefact is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to  advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model  of the water rises (Greenpeace).

Your responsibilities:

• Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  
  
• Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  
  
• Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  
  
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 

Your mindset 

• Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…
• Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
• Entrepreneurial: you bring solutions, new ideas, within your team at Artefact

Profile :

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and indexation systems (ElasticSearch, Vespa) is a plus
• You are really skilled in the command line *nix
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English

Why join us :

•  Innovative projects and technologies, exciting
•  Really competent team, co-progression guaranteed
• Strong ambition for the data department, full of progression opportunities (technical, management)
• Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...

Come join us !

Who we are

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

What you will be doing: 

As a Senior Data Scientist, your role will encompass:

• Leading and conducting ambitious projects in the transformation of clients through data
• Developing data science products and solutions for clients as well as for our data science team
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
• Having a contributor role in upskilling our data science team and promoting our work within the other data departments
• Caring for the happiness of the team, ensuring that missions are delivered to a high standard and providing feedback and mentoring to less experienced Data Scientists
• Writing highly optimised code to advance Artefact’s internal tool box and knowledge

What you will learn with us : 

• Deliver impactful and successful projects on real-world problems across a variety of industries by delivering end-to-end machine learning pipelines
• Build complex solutions in feature teams with the help of your other data scientists but also ML Engineers, Data Engineers, Software Engineers and Product Owners
• Improve your software engineering skills by applying ML Ops best practises and working with the Machine Learning teams
• Become an expert in one of our data science practises: Time Series Forecasting, MLOPs, NLP, Computer Vision, Optimization or Customer Intelligence
• Discover state of the art algorithms and test them during your client projects, on real world data

What we are looking for

• A Doer: you get things done and inspire your teams to do the same
• An Analyst: you LOVE data and think every company should take their decisions with facts
• A Pragmatist: you have a hacker mindset and always find the quick wins
• A Mentor: your clients and teams naturally seek for your advice
• An Adventurer: you’re an entrepreneur constantly looking for problems to solve

Qualifications: Education & experience required

• A Master’s degree in machine learning, mathematics, computer science, or related fields
• 3+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting 
• Strong experience and knowledge of data processing, data modelling, algorithms, and data architecture
• Fluent in at least one of the following languages: Python, R, SQL, etc…
• Experience in leading a technical project in a business context
• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

Why you should join us

• Artefact is the place to be: we train the data leaders of tomorrow
• Innovation: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Still hesitating, check our medium blog to discover concrete projects!

Who we are

What you will be doing: Key responsibilities

As a Senior Data Analyst, your role will encompass:

• Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
• Extracting valuable insights from our clients’ marketing-related data sources.
• Designing dashboards for marketing decision-making while taking into account the business needs
• Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
• Actively contributing to the expertise level and competencies of the Data & Analytics team
• Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

Being a great tech role model

• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
• Researching and developing new technical approaches to address problems efficiently
• Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
• Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & experience required

• Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :

  • A minimum of 3 year of work experience in a data-driven working environment
  • 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
  • 1 or 2 programming languages among SQL, Python and/or R.
  • 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...) 

  In addition, you have the knowledge in one or more of the following technologies:

  • Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
  • You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
  • Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)  
  • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
  • Web application (R-Shiny, Python Flask) that you have industrialized

  Ideally you have: 

  • Knowledge of statistics 
  • Knowledge of machine learning and data engineering

What we are looking for

• A Doer: you get things done and inspire your team to do the same
• An Analyst: you LOVE data and think every company should take their decisions based on facts
• A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
• A Mentor: your clients and colleagues naturally seek you out for advice
• An Adventurer: you’re an entrepreneur constantly looking for business opportunities

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

Who we are

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

What you will be doing: 

As a Manager Data Scientist, your role will encompass:

• Leading and conducting ambitious projects in the transformation of clients through data
• Developing data science products and solutions for clients as well as for our data science team
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
• Having a contributor role in upskilling our data science team and promoting our work within the other data departments
• Caring for the happiness of the team, ensuring that missions are delivered to a high standard and providing feedback and mentoring to less experienced Data Scientists
• Writing highly optimised code to advance Artefact’s internal tool box and knowledge

What you will learn with us : 

• Deliver impactful and successful projects on real-world problems across a variety of industries by delivering end-to-end machine learning pipelines
• Build complex solutions in feature teams with the help of your other data scientists but also ML Engineers, Data Engineers, Software Engineers and Product Owners
• Improve your software engineering skills by applying ML Ops best practises and working with the Machine Learning teams
• Become an expert in one of our data science practises: Time Series Forecasting, MLOPs, NLP, Computer Vision, Optimization or Customer Intelligence
• Discover state of the art algorithms and test them during your client projects, on real world data

What we are looking for

• A Doer: you get things done and inspire your teams to do the same
• An Analyst: you LOVE data and think every company should take their decisions with facts
• A Pragmatist: you have a hacker mindset and always find the quick wins
• A Mentor: your clients and teams naturally seek for your advice
• An Adventurer: you’re an entrepreneur constantly looking for problems to solve

Qualifications: Education & experience required

• A Master’s degree in machine learning, mathematics, computer science, or related fields
• 3+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting 
• Strong experience and knowledge of data processing, data modelling, algorithms, and data architecture
• Fluent in at least one of the following languages: Python, R, SQL, etc…
• Experience in leading a technical project in a business context
• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

Why you should join us

• Artefact is the place to be: we train the data leaders of tomorrow
• Innovation: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Still hesitating, check our medium blog to discover concrete projects!

Who are we ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

To support and develop its growth, Artefact is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to  advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model  of the water rises (Greenpeace).

Your responsibilities:

• Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  
  
• Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  
  
• Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  
  
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 

Your mindset 

• Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…
• Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
• Entrepreneurial: you bring solutions, new ideas, within your team at Artefact

Profile :

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and indexation systems (ElasticSearch, Vespa) is a plus
• You are really skilled in the command line *nix
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English

Why join us :

•  Innovative projects and technologies, exciting
•  Really competent team, co-progression guaranteed
• Strong ambition for the data department, full of progression opportunities (technical, management)
• Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...

Come join us !

Who we are

What you will be doing: Key responsibilities

As a Senior Data Analyst, your role will encompass:

• Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
• Extracting valuable insights from our clients’ marketing-related data sources.
• Designing dashboards for marketing decision-making while taking into account the business needs
• Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
• Actively contributing to the expertise level and competencies of the Data & Analytics team
• Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

Being a great tech role model

• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
• Researching and developing new technical approaches to address problems efficiently
• Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
• Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & experience required

• Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :

  • A minimum of 3 year of work experience in a data-driven working environment
  • 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
  • 1 or 2 programming languages among SQL, Python and/or R.
  • 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...) 

  In addition, you have the knowledge in one or more of the following technologies:

  • Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
  • You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
  • Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)  
  • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
  • Web application (R-Shiny, Python Flask) that you have industrialized

  Ideally you have: 

  • Knowledge of statistics 
  • Knowledge of machine learning and data engineering

What we are looking for

• A Doer: you get things done and inspire your team to do the same
• An Analyst: you LOVE data and think every company should take their decisions based on facts
• A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
• A Mentor: your clients and colleagues naturally seek you out for advice
• An Adventurer: you’re an entrepreneur constantly looking for business opportunities

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

Who are we ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

To support and develop its growth, Artefact is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to  advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model  of the water rises (Greenpeace).

Your responsibilities:

• Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. 
  
  
• Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability.  
  
  
• Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon. 
  
  
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating 

Your mindset 

• Curious: you are always seeking innovative solutions for your clients. You are involved in the whole data value chain, back-end, big data infrastructure, ML model industrialisation…
• Evangelist: sharing your knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
• Entrepreneurial: you bring solutions, new ideas, within your team at Artefact

Profile :

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and indexation systems (ElasticSearch, Vespa) is a plus
• You are really skilled in the command line *nix
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English

Why join us :

•  Innovative projects and technologies, exciting
•  Really competent team, co-progression guaranteed
• Strong ambition for the data department, full of progression opportunities (technical, management)
• Recent Stack : Python, Spark, Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, ...), AWS (EKS, Lambda, RDS), MS Azure (Databricks, Data Factory), Ansible, Docker, Kubernetes, Redis, Airflow...

Come join us !

Who are we 

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. 

We specialize in data & AI transformation and data-driven marketing to drive tangible business results across the entire enterprise value chain. Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. 

From strategy to operations, we offer an end-to-end approach and solutions: data & AI strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI. Our 1700+ employees operate in 25 countries (Europe, Asia, Americas, Middle East, India, Africa) and we partner with 1000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi.To support this growth, our Consulting department is looking for a Junior Software Engineer.

What is it to be a Senior Software Engineer in Artefact?

As a Senior Software Engineer at Artefact you will work on all aspects of data engineering in multidisciplinary client teams. As a Senior Software Engineer at Artefact, you will be responsible for the good relationship with your clients in terms of software engineering tasks and you will start to supervise more junior profiles.

You will be using data as a tool to solve the real-world problems encountered by various sectors (e.g. retail, luxe, telecom, healthcare). This involves multiple activities:

• You will work in an agile team composed of data experts like you, but also non-technical people.
• You will work on and deploy your software to the cloud (GCP, AWS or Azure).
• You will implement software with Python and SQL to create applications and data transformations.
• You will apply DevOps principles: automating tests and cloud deployments with CI/CD pipelines and infrastructure-as-code (we use terraform), packaging applications in containers (we usedocker), implementing enablers for data observability (we use DBT).
• You will be developing one or more of the following technical expertises: Software Development, Analytics Engineering, ML Engineering, Cloud Architecture, or Site Security & Reliability Engineering

Profile - What we are looking for?

• You act on the whole value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, REST APIs creations, test-driven development, CI/CD, ...)
• Your studies involved software engineering, and you have experience in DevOps / DevSecOps
• You know how to set up and deploy ML model provided by our data scientists
• You have a good knowledge of Python
• You have an intimate understanding of SQL databases (PostgreSQL, MySQL, SQLServer)
• Experience with managed cloud databases (BigQuery, Firestore, Redshift, CosmoDB, …) and  indexation systems (ElasticSearch, Vespa) is a plus 
• You are familiar or have already used cloud technologies such as GCP or AWS
• You have already used big data and microservices technologies such as Spark, Beam, Airflow and Docker (K8S is an asset)
• You can popularize technical terms and solutions to business oriented profiles, you can work in a team with very diversified profiles
• You know how to prioritize your tasks, respect deadlines or raise alerts when they are at risk
• You can manage a team, coach juniors, identify their axes of progress
• You can anticipate risks in projects from the design phase
• You have a good level of English and you are fluent in french to work in our Parisian office.

The recruitment process : 

To join Artefact, we propose to you an hiring process in four steps : 

• HR Call 
• Interview #1 - Coding Test with a senior Software Engineer
• Interview #2 - Architecture and Pipeline Test with a senior Software Engineer
• Interview #3 - Fit Interview with the software engineer Director.

Each interview is an opportunity to talk about your experience and learn more about Artefact and the software engineer position 

Onboarding Process : 

When you join Artefact, we organize an onboarding week to give you a 360 degree view of the company (training to give you the keys of the consulting culture and the consulting skills, share of tips about the project management). This time allows you to meet other newcomers and to have a large vision of the company.

Tasty Benefits : 

• Ideal location: we are based in the heart of Paris in the 9th district. 
• A unique mix of talents (Data consultants, Data Analyst, Data scientist, software engineer), and fast career opportunities. 
• A great place to learn: You will master the key skills of the data consulting world: you will receive regular training on technology, you will work in hybrid teams, you will learn the specific ways of working in tech (product mindset, agility...). At the end of your Artefact experience, you are an experienced technology leader.
• In addition, you have a mentor who will be dedicated to help you in your orientation and your professional development within Artefact.
• Culture: Innovation, Collaboration and Action are our values. We are doers who working together to create innovative solutions

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

We are seeking a Data Operations Analyst to support Numerix SaaS clients by monitoring market data generation processes used by Numerix Financial Systems to ensure the integrity and the quality of market data as part of Numerix Data Management (NXDM) framework. This role involves technical and functional support, incident management, and coordination with clients and internal teams (P&E, PS, etc.), contributing directly to operational excellence and client satisfaction. 

This role sits at the intersection of market finance and technology, requiring a strong process oriented mindset with familiarity on market finance concepts to support risk analytics, to ensure flawless execution of workflows reporting generation and delivery.  It demands technical curiosity, good to strong troubleshooting skills, and ownership to deliver operational excellence for our SaaS clients in a dynamic, fast-paced environment.

 
What You'll Do:

• Define, implement, and execute standard operating procedures for Numerix clients’ market data operation processes. 
• Perform daily monitoring and verification of market data deliveries—including scheduled intraday and end-of-day snapshots for multiple clients—by checking the success or failure of runs, batch processes, and data feeds to ensure operational integrity and SLA compliance. 
• Enhance existing processes through optimization and automation of manual checks. 
• Respond to daily requests for operational support activities related to market data queries, raised by both our clients and internal groups. 
• Monitor, triage, and resolve technical and data quality issues related to Numerix data feeds, escalating to developers, vendors, or other stakeholders as needed. 
• Engage with vendors to address inquiries related to market data availability, delivery, or quality. 
• Coordinate NXDM releases and production patch deployments with clients, and support development teams in executing and validating parallel runs. 
• Act as Incident Manager in accordance with incident management policies for market data incidents, Leading Post-Mortem review and root cause analysis to drive continuous improvement. 
• Assist Numerix clients (financial institutions) with our API platform for market data related issues and queries.
   

What We're Looking For:

• Bachelor’s degree from a leading engineering university, or equivalent professional experience. 
• Good experience in Python for ad-hoc data analysis and automating manual processes. 
• Proficiency in Microsoft Excel; Knowledge of SQL is preferable. 
• Proficiency in Microsoft Excel; practical exposure to SQL is beneficial for the role. 
• Understanding of exchange-traded and OTC derivatives (e.g., forwards, futures, options) across multiple asset classes, including IR, commodities, credit, equities, and FX. Familiarity with financial concepts such as volatility and beta is advantageous.
• Working Knowledge of Cloud Services, ideally AWS (Step Functions, Lambda, EC2, DynamoDB, etc.) is a plus.
• Strong troubleshooting abilities and good English communication skills. 
• Willingness to work in Eastern USA shift hours when required (3:00 PM to 11:30 PM MST). 

 
Extra Credit:

• Understanding of multiple asset classes (IR, Commodities, Credit, Equities, FX). 
• Ability to use Excel, Python and SQL for ad-hoc data analysis and investigation of market data issues.
   

Where You’ll Work:

This is a hybrid role, open to all who reside within a commutable distance from Casablanca, Morocco.  IMPORTANT: The successful candidate must be able and willing to work during USA's Eastern Time Zone (3pm - 11.30pm WET).

An important note on language:

We will only consider CVs written in English. All interviews will be conducted in English, and candidates must demonstrate business fluency in the language.

An important note on salary:

The annual pay range for this position is based on the preferred primary location of the role which is listed above. If you are applying to this role at a location that is not the preferred primary location, please keep in mind the salary range will vary and may fall outside of what is listed. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Also note that unsolicited contact from third-party recruiters or agencies will not be considered at this time. We respectfully request no outreach from agencies.

📊 Data Scientist (H/F) – CDI

CAPFI recrute pour l’un de ses clients – Acteur du secteur de la micro-finance et de l’inclusion financière

À propos de CAPFI

CAPFI, cabinet de conseil en recrutement spécialisé dans les métiers data et transformation digitale, recherche pour l’un de ses clients un(e) Data Scientist en CDI. Notre client est un acteur majeur du secteur de la micro-finance, de l’inclusion financière et de la recherche appliquée, engagé dans le développement de solutions innovantes pour accompagner les micro-entrepreneurs et les très petites entreprises vers une intégration économique durable.

🎯 Mission principale

En tant que Data Scientist, vous exploiterez les données de l’organisation pour concevoir des modèles analytiques et prédictifs afin d’anticiper les tendances, optimiser les processus et accompagner la prise de décision stratégique.

🛠️ Responsabilités clés

📌 Analyse et modélisation des données

• Collecter, nettoyer et structurer des données volumineuses et hétérogènes

• Développer des modèles statistiques et des algorithmes de machine learning

• Mettre en place des modèles prédictifs et prescriptifs

🚀 Développement et déploiement des modèles

• Tester, valider et optimiser les performances des modèles

• Collaborer avec les équipes IT pour le déploiement en production

• Documenter les modèles et assurer leur maintenabilité

📊 Exploration et valorisation des données

• Identifier des patterns, corrélations et insights cachés

• Traduire les résultats analytiques en recommandations business concrètes

• Concevoir des visualisations avancées pour faciliter la compréhension des résultats

🤝 Collaboration transverse

• Travailler en étroite collaboration avec les équipes métiers (marketing, finance, opérations, risques…)

• Participer à la définition de cas d’usage data à fort impact

• Former et accompagner les équipes sur l’exploitation des modèles

🔍 Veille technologique et innovation

• Assurer une veille sur les nouvelles technologies data, IA et machine learning

• Proposer des solutions innovantes pour améliorer la performance et l’impact de l’organisation

👤 Profil recherché

🎓 Formation

• Bac+5 en Data Science, Statistiques, Mathématiques, Informatique, IA ou équivalent

📌 Expérience

• Minimum 3 ans sur un poste similaire

💻 Compétences techniques

• Maîtrise des langages : Python, R, SQL

• Frameworks ML : Scikit-learn, TensorFlow, PyTorch, XGBoost

• Connaissance des bases de données SQL & NoSQL

• Expérience avec environnements Big Data (Spark, Hadoop)

• Outils de visualisation : Power BI, Tableau, Matplotlib, Seaborn

• Solides notions de méthodes statistiques avancées

🧠 Qualités personnelles

• Esprit analytique et scientifique

• Capacité à résoudre des problématiques complexes

• Excellentes capacités de communication et de vulgarisation

• Autonomie, curiosité et esprit d’innovation

📊 Data Analyst (H/F) – CDI

CAPFI recrute pour l’un de ses clients – Acteur du secteur micro-finance et inclusion financière

À propos de CAPFI

CAPFI accompagne des organisations dans le recrutement de talents data et transformation digitale. Nous recherchons pour l’un de nos clients un(e) Data Analyst en CDI. Notre client est un acteur engagé dans la micro-finance et l’inclusion financière, utilisant la donnée pour renforcer ses dispositifs à impact social.

🎯 Mission principale

Collecter, analyser et interpréter les données pour fournir des insights pertinents et soutenir la prise de décision stratégique et opérationnelle.

🛠️ Responsabilités clés

Collecte et traitement des données

• Collecter des données internes et externes pertinentes pour les équipes

• Garantir la qualité, l’intégrité et la cohérence des données

• Intégrer et consolider des sources variées (ERP, CRM, fichiers Excel, bases SQL…)

Analyse et interprétation

• Identifier tendances, anomalies et opportunités à partir des données

• Élaborer modèles statistiques et rapports analytiques

• Fournir des recommandations pour améliorer la performance de l’organisation

Reporting et visualisation

• Créer et maintenir des dashboards interactifs (Power BI, Tableau, Qlik…)

• Produire des rapports réguliers pour la direction et les équipes métiers

• Présenter les résultats de manière claire pour des non-spécialistes

Support à la décision & amélioration continue

• Collaborer avec marketing, finance, production et équipes commerciales

• Participer à la définition des KPI et objectifs de performance

• Proposer des solutions d’automatisation et d’optimisation des processus

👤 Profil recherché

Formation

• Bac+3 à Bac+5 en Statistiques, Mathématiques, Informatique, Data Science ou équivalent

Expérience

• Minimum 2 ans en analyse de données, reporting ou business intelligence

Compétences techniques

• Power BI, Tableau, Qlik

• SQL, Excel avancé, Python ou R

• Connaissance des bases de données et systèmes ERP/CRM

• Statistiques et modélisation de données

Qualités personnelles

• Esprit analytique et rigoureux

• Capacité à synthétiser et communiquer des informations complexes

• Autonomie, curiosité et travail en équipe

Capfi recrute pour l’un de ses clients – Leader dans le secteur du conseil

Poste : Consultant Data & Intelligence Artificielle (H/F)

📍 Lieu : Casablanca
📄 Type de contrat : CDI
💼 Expérience : 5 ans minimum en conseil ou en gestion de projets Data/IA
🎓 Niveau d’étude : Bac +5 – École d’ingénieurs ou Master spécialisé en IA / Big Data

Contexte du poste

Dans le cadre de son développement, Capfi recrute pour le compte de l’un de ses clients, un acteur de référence dans le conseil, un Consultant Data & Intelligence Artificielle.
Encadré(e) par un Manager, vous participerez à la délivrance de projets innovants autour de la data et de l’intelligence artificielle, en contribuant à la conception et à la mise en œuvre de solutions permettant à nos clients de valoriser leurs données, optimiser leurs processus et améliorer leur expérience client.

Vos principales missions

• Collaborer étroitement avec les clients pour comprendre leurs besoins en matière de données et d’intelligence artificielle.

• Assurer le delivery des projets Data/IA, en veillant à la qualité et à la pertinence des livrables.

• Identifier et cadrer les cas d’usage : évaluer leur éligibilité, définir les hypothèses de données, estimer le ROI et mesurer les impacts sur les processus et les systèmes d’information.

• Encadrer un consultant junior Data & IA et l’accompagner dans la réalisation de ses missions.

• Définir les scénarios d’implémentation des solutions retenues en prenant en compte les dimensions organisationnelles, technologiques et processus du client.

• Déployer des solutions d’IA et gérer leur intégration avec les systèmes existants.

• Assurer une veille technologique continue sur les dernières avancées en intelligence artificielle afin de proposer des approches toujours plus innovantes.

• Contribuer à l’acculturation IA des équipes internes et des clients, en vulgarisant les concepts et en facilitant l’adoption des nouvelles technologies.

Profil recherché

• Diplômé(e) d’une grande école d’ingénieurs ou titulaire d’un Master spécialisé en Intelligence Artificielle ou Big Data.

• Expérience de 5 ans minimum dans le conseil en data/IA ou en gestion de projets Data/IA.

• Solides compétences en statistiques, data science, machine learning et deep learning.

• Bonne maîtrise et compréhension des enjeux de l’IA et de la valorisation de la donnée.

• Maîtrise du français et de l’anglais, à l’écrit comme à l’oral.

Compétences techniques et comportementales

• Maîtrise du langage Python.

• Connaissance ou initiation au project management / product management.

• Compétences souhaitées en Power BI et Microsoft Azure.

• Excellente capacité de résolution de problèmes : analyse, structuration, synthèse et formulation de recommandations.

• Esprit d’innovation et capacité à trouver des solutions créatives pour intégrer l’IA dans les processus et livrables.

• Aptitude à rechercher, tester et présenter des solutions dans une démarche projet.

• Capacité à vulgariser des sujets techniques et à les rendre accessibles à un public non expert.