SQL Jobs in Oslo.
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dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
dunnhumby Norway AS is a joint venture between Coop Norge Handel AS and dunnhumby ltd. Based on the Customer First principle, we deliver customer insight and data-driven marketing for Coop and its suppliers. dunnhumby Norway has 35 employees in Norway and 15 employees in India.
We are looking for an Associate Applied Data Scientist to join the Loyalty and Personalisation team who will work as a part of our Solutions Team.
Your role:
As a key member of our Loyalty and Personalisation team, you will dive deep into the world of data to design 1:1 customer personalization initiative that truly resonate. With a focus on Coop’s 1.7 million members, you will play a crucial role in developing Norway’s most engaging loyalty program. In close collaboration with our international team, your efforts will help shape the future of retail through groundbreaking loyalty and personalisation, CRM, and Retail Media initiatives.
In this role you will collaborate across teams – Coop, dunnhumby commercial leads and data science team, translating complex analysis into clear recommendations, and ensuring insights are embedded into decision making. The role requires strong analytical thinking, technical savviness, clear communication, and a hands-on approach to partnership and delivery.
At dunnhumby, you will work in a world-leading retail data science company with specialist expertise in customer data, category development, campaign and price, customer communications and media. You will experience being part of a large international network, but at the same time work closely with Coop in a dynamic environment with opportunities to experiment and learn.
What we expect from you:
- Have a strong academic background with a master's degree in economics, statistics, mathematics, engineering, or equivalent.
- Relevant experience preferably from retail, media agencies, consulting or the financial sector.
- Excels at translating complex data sets into clear and actionable insights, with a keen ability to understand the business context and meet customer challenges through data-driven solutions.
- While familiarity with Python, Spark or other SQL-based applications is an advantage, the main focus is on interpreting data and providing valuable recommendations to meet customer needs and support business objectives.
- Have a passion for customer data and are eager to use scientific approaches for data analysis to uncover new business opportunities.
- Is enthusiastic about working closely with customers to create meaningful change by linking analytical findings to real-world business problems.
- Is passionate about driving operational efficiencies through process automation and setting up dedicated project/process management initiatives.
- Is fluent and have good written skills in English.
- Norwegian language skills are must
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
Sales Engineer (Nordics)
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About Ping Identity:
At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.
Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.
While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.
We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.
The Role:
As a Sales Engineer at Ping Identity, you'll merge your enthusiasm for identity management with a commitment to customer success. In collaboration with our dynamic sales team, you will engage in customer meetings, demonstrations, and proof of concepts, showcasing the business and technical benefits of our solutions. Your role is pivotal in enabling personal, team, and customer achievements through insightful and innovative solutions that meet technical and business needs.
This role offers the chance to showcase your technical and consultative skills, engaging with stakeholders of various roles and levels to understand and meet their technical requirements with cutting-edge solutions. Your expertise in Identity and Access Management (IAM) technologies will be key in delivering impactful solutions that align with customer business goals.
Responsibilities:
- Deliver pre-sales activities including solution demonstrations, presentations, technical guidance, proof of concepts, and RfX responses.
- Act as the go-to technical expert on Ping Identity solutions for customers, partners, and internal teams.
- Establish enduring relationships with customers and become their trusted advisor
- Collaborate with the sales team to deliver revenue. Emphasis during key sales cycle phases of Qualification, Discovery, and Technical Proof Phase
- Coordinate, throughout sales cycle, pre-sales efforts with a post-sales service delivery team
- Leading customer-facing meetings, both through videoconferencing and in-person to, deliver presentations, whiteboarding sessions, and demonstrations of Ping Identity solutions and their value remotely, in-person, and at industry events
- Provide insightful feedback on product enhancements and customer needs to product owners.
- Mentoring, both formally and informally, junior team members
- Develop subject matter expert-level knowledge of at least one of Ping Identity's solutions and serve as an expert resource to other Sales Engineers within the organization
- Able to travel up to 40% as needed. This will mostly be in the Nordic region but may occasionaly include Benelux or Eastern Europe
Required Skills & Qualifications:
- Bachelor’s degree in computer science or equivalent field, or 4+ years' experience with enterprise-level software systems in a customer-facing role, such as pre-sales, consulting, support, or training
- Deep knowledge of standard identity protocols: SAML, WS-Fed, OAuth, OIDC, and SCIM as well as experience with REST interfaces
- Deep knowledge of technologies that underly identity solutions: LDAP (including Active Directory), SSL/TLS, PKI, RADIUS, SQL, DNS, JDBC
- Experience with one or more modern programming languages and web technologies: JavaScript, Python, Node.js, HTTP, HTML, CSS, JSON, Java.
- Expertise in developing and delivering effective technical presentations, workshops, customized demonstrations, and proof of concepts
- Strong communication and customer service skills.
- Adept at linking technical capabilities to customer needs.
- Ability to work with a high level of self-direction and/or collaboratively with team and customers
- Knowledge of a subset of the following IAM concepts: Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow /
- Eagerness to learn; expertise in specific business areas or industry verticals is a bonus.
- Familiarity with infrastructure, networking technologies, and cloud service providers.
- Fluency in any Nordic language
Ideal Candidate Skills:
- Installation and/or configuration of one or more IAM technologies from Ping, Okta, Auth0, Sailpoint, CA, Oracle or similar
- Experience with several types of web applications servers and operating systems: Windows, Mac, RedHat, Ubuntu, Apache, Nginx, Tomcat
- Experience with DevOps processes and platforms such as GitHub, Terraform, Kubernetes, and Helm, as well as deployment in major cloud environments (AWS, Microsoft Azure, Google Cloud Platform)
- Successful delivery of a SaaS-based IAM solution
- Experience in Ping multi-tenant SaaS solutions: PingOne SSO, PingID, PingOne MFA, PingOne Verify, PingOne Protect, PingOne Authorize, and DaVinci
Life at Ping:
We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that’s who we want to succeed with every day.
Here are just a few of the things that make Ping special:
- A company culture that empowers you to do your best work.
- Employee Resource Groups that create a sense of belonging for everyone.
- Regular company and team bonding events.
- Competitive benefits and perks.
- Global volunteering and community initiatives
Our Benefits:
- Generous PTO & Holiday Schedule
- Parental Leave
- Progressive Healthcare Options
- Retirement Programs
- Opportunity for Education Reimbursement
- Commuter Offset (Specific locations)
Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self.
We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Ready to apply?
Apply to Ping Identity
Sales Engineer (Nordics)
Share this job
About Ping Identity:
At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.
Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.
While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.
We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.
The Role:
As a Sales Engineer at Ping Identity, you'll merge your enthusiasm for identity management with a commitment to customer success. In collaboration with our dynamic sales team, you will engage in customer meetings, demonstrations, and proof of concepts, showcasing the business and technical benefits of our solutions. Your role is pivotal in enabling personal, team, and customer achievements through insightful and innovative solutions that meet technical and business needs.
This role offers the chance to showcase your technical and consultative skills, engaging with stakeholders of various roles and levels to understand and meet their technical requirements with cutting-edge solutions. Your expertise in Identity and Access Management (IAM) technologies will be key in delivering impactful solutions that align with customer business goals.
Responsibilities:
- Deliver pre-sales activities including solution demonstrations, presentations, technical guidance, proof of concepts, and RfX responses.
- Act as the go-to technical expert on Ping Identity solutions for customers, partners, and internal teams.
- Establish enduring relationships with customers and become their trusted advisor
- Collaborate with the sales team to deliver revenue. Emphasis during key sales cycle phases of Qualification, Discovery, and Technical Proof Phase
- Coordinate, throughout sales cycle, pre-sales efforts with a post-sales service delivery team
- Leading customer-facing meetings, both through videoconferencing and in-person to, deliver presentations, whiteboarding sessions, and demonstrations of Ping Identity solutions and their value remotely, in-person, and at industry events
- Provide insightful feedback on product enhancements and customer needs to product owners.
- Mentoring, both formally and informally, junior team members
- Develop subject matter expert-level knowledge of at least one of Ping Identity's solutions and serve as an expert resource to other Sales Engineers within the organization
- Able to travel up to 40% as needed. This will mostly be in the Nordic region but may occasionaly include Benelux or Eastern Europe
Required Skills & Qualifications:
- 4+ years' experience with enterprise-level software systems in a customer-facing role, such as pre-sales, consulting, support or training
- Deep knowledge of standard identity protocols: SAML, WS-Fed, OAuth, OIDC, and SCIM as well as experience with REST interfaces
- Deep knowledge of technologies that underly identity solutions: LDAP (including Active Directory), SSL/TLS, PKI, RADIUS, SQL, DNS, JDBC
- Experience with one or more modern programming languages and web technologies: JavaScript, Python, Node.js, HTTP, HTML, CSS, JSON, Java.
- Expertise in developing and delivering effective technical presentations, workshops, customized demonstrations, and proof of concepts
- Strong communication and customer service skills.
- Adept at linking technical capabilities to customer needs.
- Ability to work with a high level of self-direction and/or collaboratively with team and customers
- Knowledge of a subset of the following IAM concepts: Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow /
- Eagerness to learn; expertise in specific business areas or industry verticals is a bonus.
- Familiarity with infrastructure, networking technologies, and cloud service providers
- Bachelor’s degree in computer science or equivalent field, or
- Fluency in any Nordic language
Ideal Candidate Skills:
- Installation and/or configuration of one or more IAM technologies from Ping, Okta, Auth0, Sailpoint, CA, Oracle or similar
- Experience with several types of web applications servers and operating systems: Windows, Mac, RedHat, Ubuntu, Apache, Nginx, Tomcat
- Experience with DevOps processes and platforms such as GitHub, Terraform, Kubernetes, and Helm, as well as deployment in major cloud environments (AWS, Microsoft Azure, Google Cloud Platform)
- Successful delivery of a SaaS-based IAM solution
- Experience in Ping multi-tenant SaaS solutions: PingOne SSO, PingID, PingOne MFA, PingOne Verify, PingOne Protect, PingOne Authorize, and DaVinci
Life at Ping:
We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that’s who we want to succeed with every day.
Here are just a few of the things that make Ping special:
- A company culture that empowers you to do your best work.
- Employee Resource Groups that create a sense of belonging for everyone.
- Regular company and team bonding events.
- Competitive benefits and perks.
- Global volunteering and community initiatives
Our Benefits:
- Generous PTO & Holiday Schedule
- Parental Leave
- Progressive Healthcare Options
- Retirement Programs
- Opportunity for Education Reimbursement
- Commuter Offset (Specific locations)
Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self.
We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Ready to apply?
Apply to Ping Identity
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Senior Solution Architect
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
- End-to-end architecture and solution design leadership.
- Providing strategic and technical expertise to support customers and the customer-facing project teams.
- Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user-facing solutions
- Expressing complex technical solutions through architecture modeling tools
- Ensure operational responsibility and support agreements for the delivered solutions
- Building strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers to drive long-term adoption of Cognite’s products and services
- Training internal teams and partners in your area of specialization
- Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings
- Independently work with managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS & Google
- Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritised pipeline of product offerings
- Develop and maintain technical and business expertise for Cognite’s products
The Impact you bring to Cognite
- We expect all our solutions architects to be hands-on in python as well as a good hands-on expertise with software development best practices.
- Open to travel.
- You must be highly organised, thorough, and communicate well with all stakeholders.
- Take ownership and drive tasks independently
- You will be required to collaborate, lead, and coach, as well as work independently.
- 8+ years of experience working as a Software Engineer/Data Engineer/Machine Learning Engineer
- Technical background, willing and able to dive in and contribute code for advanced topics when needed
Preferred Experience
- Experience from domains like Manufacturing, Energy, O&G, Pharma, Life sciences is preferred
A snapshot of our many perks and benefits as a Cogniter
- Join an organization of 60 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
- Flat structure with direct access to decision-makers
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology
- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
- Get access to private health services with Cognite Care.
- Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House)
- Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
- We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
- A pet lover? Get the chance to meet Spot at the Robot Garden!
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Senior Solution Architect
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
- End-to-end architecture and solution design leadership.
- Providing strategic and technical expertise to support customers and the customer-facing project teams.
- Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user-facing solutions
- Expressing complex technical solutions through architecture modeling tools
- Ensure operational responsibility and support agreements for the delivered solutions
- Building strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers to drive long-term adoption of Cognite’s products and services
- Training internal teams and partners in your area of specialization
- Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings
- Independently work with managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS & Google
- Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritised pipeline of product offerings
- Develop and maintain technical and business expertise for Cognite’s products
The Impact you bring to Cognite
- We expect all our solutions architects to be hands-on in python as well as a good hands-on expertise with software development best practices.
- Open to travel.
- You must be highly organised, thorough, and communicate well with all stakeholders.
- Take ownership and drive tasks independently
- You will be required to collaborate, lead, and coach, as well as work independently.
- 8+ years of experience working as a Software Engineer/Data Engineer/Machine Learning Engineer
- Technical background, willing and able to dive in and contribute code for advanced topics when needed
Preferred Experience
- Experience from domains like Manufacturing, Energy, O&G, Pharma, Life sciences is preferred
A snapshot of our many perks and benefits as a Cogniter
- Join an organization of 60 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
- A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
- Flat structure with direct access to decision-makers
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology
- Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
- Get access to private health services with Cognite Care.
- Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House)
- Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
- We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
- A pet lover? Get the chance to meet Spot at the Robot Garden!
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry