Are you ready to thrive in a dynamic and exhilarating environment where you'll be entrusted with significant responsibilities? Are you seeking to join an extraordinary team of young, motivated, and highly ambitious individuals? If you have a genuine passion for connecting with people and driving remarkable outcomes, then you could be the perfect fit for our AI Implementation Specialist position.

About us

We are on a mission to help consumers save time and money by matching them with the best products for their needs with banking, insurance and utilities. Samlino Group (https://samlinogroup.com/) operates across three markets, we empowered over 10 million users last year alone, propelling them toward living healthier financial lives.

What we offer you

As our AI Implementation Specialist, you get the unique opportunity to be a key driver of our exponential growth curve. Sunny Lisbon will be your home base, but you’ll travel to and work with our three markets! In order to do that you will:

• take a front-row seat to the agentic revolution, working with frontier LLMs and advanced autonomous frameworks like OpenClaw to build AI that actually acts

• lead the deployment and integration of artificial intelligence solutions

• bridge the gap between AI research, software engineering, and product implementation

• ensure that AI models and systems are successfully adapted

• work closely with our software developers and team leads to design scalable AI workflows

• integrate models and ensure performance, reliability, and alignment with our business goals

What we expect from you

We are seeking a dynamic individual who thrives in a results-oriented environment to join our team and help us reach our objectives. Industry experience is not a requirement, but you do need to be highly ambitious, proactive, forward-thinking, a fast learner, and driven to succeed.

Furthermore, we are looking for candidates who:

• Have proactive mindset, strong analytical skills, and the ability to collaborate effectively with cross-functional teams
• Familiarity with machine learning frameworks
• Experience with cloud platforms and containerization tools
• Understanding of APIs, RESTful services, and microservice architecture
• Fluency in Portuguese and English and an EU work permit is required.

What we offer

• Access to Premium AI Infrastructure. Work with an elite toolkit including OpenClaw for local-first agent orchestration and a diverse range of frontier LMs
• Collaborative and innovative team environment
• Involvement in high-impact projects across industries

Start date and Travel

Flexible start date.

This role will cover all three markets, so regular travel will be part of what we have in mind for you! It will also include extended stays working hands-on with the teams in the different locations.

#LI-Onsite

About the role:

Our Customer Support Team is here to deliver first-class support in a simple, effective, and timely manner to our growing Dashlane community. Your day-to-day will be focused on handling technical queries from our customers through a wide range of channels including email, chat, phone, and social media. Those queries could range from account questions, billing-related inquiries, and support ranging from basic how-to questions about the app to more complex questions that may require escalations.

We are looking for people who are passionate about helping others and are interested in technology and the latest technology trends.
This is the perfect role for someone who already has a strong background or relevant experience in technical customer support and who has ideally worked in customer-facing roles.

If that's who you are, and if you are eager to join a fast-growing company, this might be your next challenge.

What else do you need to know?

• Full-time 8h/day between Monday to Sunday, including weekends and bank holidays with rotative days off (40hrs a week)
• Rotative shifts position (Lisbon time) 
  • Morning shift comprised between 9am and 6pm
  • First afternoon shift comprised between 1pm and 10pm
  • Second afternoon shift comprised between 3pm and 12am 
  • Night shift comprised between 12am and 9am 

Location-Specific Information:

You will be based in Lisbon, with English as your working language. We offer a hybrid work arrangement, with Monday, Tuesday, and Thursday as in-office company days, where we collaborate together and enjoy a company-sponsored meal on one of those days.

At Dashlane you will:

• Respond to B2C and B2B customers' questions rapidly and clearly - this entails questions related to the Dashlane app and will also be providing technical support towards account/login/billing-related issues
• Take ownership of solving a wide range of customer queries that come through email, chat, and social media with effective probing, and troubleshooting so you can isolate, investigate and resolve the issue
• Comply with and suggest improvements for ticket categorization and issue identification guidelines but also with the Dashlane and quality expected from our standards of service
• Reach for productivity and quality KPIs aligned with the team goals by resolving all questions and concerns
• Play a big role in sharing relevant feedback with the product team and hence in shaping the Dashlane product
• Help update/create content for our internal knowledge base and our help centre, making your job and that of your peers easier in the future
• Test and reproduce issues to troubleshoot and help the Dashlane product team identify and fix bugs
• Be the voice of our customers: raise their concerns or new feature requests/feedback to our product and engineering team
• Work closely with the Level 2 and Level 3 support teams to improve overall product knowledge, and to escalate more complex issues that require Senior expertise

To accomplish the above, you will work cross-functionally with different teams such as Engineering, Development, Product, and QA.

Requirements:

• You have 1 year of experience in technical customer support and; potentially with B2B customers
• You have 1+ years of experience providing online customer support in English, preferably in a SaaS environment or a tech company
• Excellent spoken and written English

We’re also looking for:

• The ability to communicate technical topics to customers and coworkers simply and clearly in English via email, chat, and/or phone.
• Quality-driven people with a passion for creating extraordinary customer experiences while being able to help their team achieve efficiency and productivity objectives.
• The ability to use support platforms such as Zendesk (ideally, as a plus you are familiar with Slack as an internal communication tool and Atlassian as a Knowledge Base interface).
• Experience in managing support tickets throughout the entire support lifecycle from initial customer inquiry to triage and reproduction, writing bug reports for handoff to the product/development team, and resolution.
• Prior experience working with tech teams like developers/engineers and QA.
• Prior experience troubleshooting technical issues that can arise on web apps, mobile apps, local software, and web extensions.

What Dashlane offers you:

• Flex Benefits - allocate a monthly amount to a pool of benefits
• Health insurance covered by Dashlane
• 5 extra vacation days each year, plus your birthday off
• Company wide well-being days (one per quarter)
• Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption
• Donation matching program -  Dashlane will match your donations to organizations driving positive impact in historically marginalized communities
• Access mental health services through Spring Health, available for you and your family members
• Team building & social events - weekly lunch in the office and monthly happy hour
• and much more

We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers.

Role Summary

As a Senior Data Scientist at ComplyAdvantage, you will lead the development and refinement of sophisticated data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, where you will spend 80% of your time conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value over 3-6 month horizons. In addition to driving deep-dive R&D, you will provide expert advisory support and technical leadership to Product and Engineering teams. By leading AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features while mentoring more junior members of the tribe.

Key Responsibilities

• Lead R&D in GenAI and Agentic AI: Design and prototype high-impact, novel solutions for financial crime detection, focusing on multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Drive Production Excellence: Partner with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will define the standards for reliability, scalability, and ethical AI performance, ensuring research prototypes transition into robust, production-grade solutions.
• Establish Evaluation Frameworks: Lead the development of robust evaluation methodologies for LLM and agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.
• Evaluate Model Context Protocol (MCP): Research applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.
• Strategic Data Insights: Conduct advanced exploratory analysis across multiple data sources to uncover insights that directly influence product development decisions and agent behavior.
• Research & Innovation: Continuously research and evaluate emerging tools and best practices in data science and Agentic AI to keep ComplyAdvantage at the forefront of the field.
• Technical Leadership & Mentoring: Engage across multi-disciplinary teams to share expertise, perform code reviews, and provide career development support to junior data scientists.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 4-7 years of professional experience in data science or machine learning, with a demonstrable impact on production systems.
• Expert-level proficiency in Python, including the core data science ecosystem such as Pandas, NumPy, and Scikit-learn.
• Deep experience with modern ML frameworks (e.g., TensorFlow, PyTorch) for advanced research and prototyping.
• Strong expertise in Agentic AI and LLMs: Advanced knowledge of agentic AI frameworks (e.g., LangChain, Pydantic AI) and experience optimising retrieval systems like RAG.
• Experience with Distributed Computing: Practical knowledge of platforms like Spark or Dask for large-scale data analysis.
• Technical Leadership: Proven track record of leading technical research projects with successful production outcomes and communicating complex concepts to diverse audiences.

Preferred Qualifications

• Experience delivering machine learning solutions and integrating into data pipelines.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex GenAI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, mastered our data landscape, and begun contributing to active research projects while building relationships with key stakeholders.
• In 6 months: You have delivered your first significant research project with measurable impact and established yourself as a technical leader and effective mentor.
• In 12 months: You have led multiple successful R&D initiatives that have shaped our technical roadmap and been recognized as a subject matter expert who empowers other teams.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

Role Summary

As a Data Scientist at ComplyAdvantage, you will develop and refine data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value. In addition to deep-dive R&D, you will provide advisory support to Product and Engineering teams. By investing in AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features.

Key Responsibilities

• Advance R&D in GenAI and Agentic AI: Develop high-impact prototypes for financial crime detection, leveraging multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Contribute to Core Solutions: Collaborate with Engineering and Product to integrate and optimise AI components and frameworks into existing and new product features, ensuring reliability, scalability, and ethical performance in production.
• Evaluate LLM-based Systems: Contribute to the development and implementation of robust evaluation methodologies for LLM and agentic AI based systems, tracking key metrics related to task completion, reasoning accuracy, tool effectiveness, and overall reliability.
• Evaluate Model Context Protocol (MCP) applications: Connect our AI systems with external data sources and tools and provide recommendations for engineering implementation
• Data Understanding: Develop a solid understanding of our existing data sources, identifying challenges and suggesting potential improvements.
• Data Analysis: Use exploratory data analysis and data mining techniques to identify actionable insights for product improvement, including patterns that can inform and refine agent behavior and prompt engineering strategies.
• Research & Innovation: Continuously research and evaluate emerging tools, technologies, and best practices in data science, especially within the rapidly evolving field of Agentic AI, to keep ComplyAdvantage at the forefront.
• Cross-Functional Collaboration: Engage effectively with multi-disciplinary teams to actively share best practices, expertise and inspire innovation to foster an AI-first culture across the organization.
• Visualization & Roadmapping: Provide clear data insights and visualizations that will act as a basis for new ideas to be integrated into our product roadmap.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 2-4 years of professional experience in data science or a related field, with a demonstrated ability to contribute to impactful data-driven solutions.
• Proficiency in Python, including experience with core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Hands-on experience with modern machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with the foundational concepts of agentic AI and large language models (LLMs). This can be professional or through personal research.
• Basic understanding of popular agentic AI frameworks (e.g., LangChain, Pydantic AI).
• Knowledge of general evaluation techniques for AI models and an eagerness to learn and apply methods specific to agentic systems.
• Ability to communicate complex technical concepts effectively to a variety of stakeholders.
• Strong passion for data and solving challenging real-world problems using algorithms.

Preferred Qualifications

• Prior experience contributing to the deployment and integration of machine learning models into production data pipelines.
• Exposure to Big Data platforms such as Spark.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex AI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, gaining a clear understanding of our data landscape and current AI frameworks. You are actively contributing to R&D experiments and have established collaborative working relationships with peers in Engineering and Product.
• In 6 months: You have delivered your first significant R&D prototype or technical evaluation. You have begun contributing to our AI Enablement workstreams, perhaps by authoring a technical blog post or internal guide that translates your research findings into actionable knowledge for the wider team.
• In 12 months: You have completed multiple R&D initiatives that have shaped our technical roadmap. You are recognized for empowering other teams through your advisory support and quantitative expertise, consistently providing the "AI-first" insights that help Engineering and Product teams scale high-impact features.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development