Skill needed: PyTorch, Python, Kubernetes, Docker.
Employer: DNV
We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.About the roleAre you excited by the idea of using data science to tackle real-world challenges and drive meaningful impact?We are looking for a Senior Data Science Innovator to join our Strategy, Innovation & Partnerships (SIP) team, where data science meets customer-led innovation and propels energy transition impact.In this role you won’t just build models, you’ll help discover the right problems to solve, working directly with customers to uncover pain points and turn ideas into scalable digital solutions. From early-stage experimentation to production-ready products, you’ll play a key role in shaping the next generation of data-driven offerings for critical energy infrastructure.You will work within one of our innovation labs, collaborating in multidisciplinary teams to tackle challenges that are technically demanding, strategically relevant, and highly impactful. You‘ll be part of a team that develops and test pilots with customers, and mature solutions into MVPs for handover and scaling by product teams. In SIP, we focus on delivering innovation that reaches customers; you will shape this journey from the outset and see your work evolve from an idea into scalable solutions that can impact multi‑gigawatt renewable systems alongside other industries and make the energy transition safer for people and the environment.What you will doUncover customers’ pain-points and desired gainsDiscover and define the problem worth solving by interviewing customers, and mapping inefficiencies in internal processesDevelop and deliver analytical solutionsDesign, build, and refine models and algorithms supporting experiments, prototypes, and minimum viable products, using statistical and machine learning approachesTranslate ideas into structured solutionsTurn business or innovation ideas into testable experiments to validate against the data or with the stakeholdersOwn end-to-end deliveryLead analytical workstreams from problem framing to prototype development, validation, and handover to production or scaling teamsCollaborate and influence stakeholdersWork closely with experiment managers, engineers, domain experts, and product teams to build alignment, communicate insights, and ensure adoption of solutionsProvide technical leadershipMentor other team members, share best practices, and contribute to internal data science communitiesIf you are motivated by innovation, experimentation, and making a tangible difference in the energy transition, this is your opportunity to be part of a team turning data into impactful solutions that matter. Join a team working at the intersection of data science, innovation, and strategy, tackling complex and impactful challenges in the energy transition.What we offerOur benefits offering is aligned to local market practices and will vary depending on the country of employment, specifically the United Kingdom, Spain or Norway.DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.About youYou are a proactive and innovative data scientist who thrives in ambiguous environments and enjoys solving complex, real-world problems. You combine strong technical expertise with a structured, customer-focused mindset. In addition to that we look for you to bring:Must-have experienceA Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or PhysicsSignificant experience in data science or applied analyticsProven ability to work independently on loosely defined problems and turn them into structured, testable solutionsExperience delivering end-to-end data science solutions, from exploration to deployment or handoverExperience working with business stakeholders or product teamsTechnical skillsSolid understanding of statistical methods and machine learning techniques, focused on timeseries data and textStrong programming skills in Python and experience with standard data science libraries such as pandas, numpy, scikit-learn, tensorflow, pytorchExperience working with data systems, structured and unstructured databases such as ClickHouse or MongoDBFamiliarity with APIs, pipelines, kubernetes and linux environments.Experience with version control tools such as Git and containerisation tools such as DockerWays of workingHigh level of ownership and autonomy, combined with a collaborative and team-oriented approachStrong problem-solving mindset, with the ability to structure complex challenges independentlyInnovator’s mindset, centred around problem discovery, experimentation, and pivoting; you see change as an opportunity rather than a problemYou are comfortable working in a safe environment where ideas are challenged respectfully, and the best outcomes are prioritized over individual ownershipAbility to work effectively in cross-functional and innovation-driven environmentsNice to haveAbility to identify and validate customer problems through interviews, research, and synthesis of insights.Exposure to energy systems or other complex industrial domainsExperience with data visualization and building web apps with React, Dash, Streamlit or any other frameworksExperience mentoring or supporting other data scientistsExperience developing AI apps (chatbots, copilots, agents), computer vision, advanced NLP, physics-informed neural networksPlease note that this position role is based in our Bristol, Barcelona or Oslo offices. Applicants must be located within a reasonable commuting distance of one of these offices.BenefitsPlease note, benefits may depend on your contract type, please confirm with your recruiter.Profit ShareYou’ll be part of our global profit share scheme that means we all share in our success as a business. If we profit, so do you. This will be part of our Total Compensation approach each year and depends on our year-end results.InsuranceTaking care of you with travel, life, and accident insurance.Pension SchemesWe care about your long-term financial security and prioritize pension and retirement benefits to reflect our caring values.Professional DevelopmentWe believe in the 70/20/10 learning model, where 70% of your learning comes from performing your everyday tasks and working on different projects, new areas and initiatives to gain new skills. 20% from working with others and mentoring and the rest from formal education.Hybrid WorkingAdapting to the changing world of work around the world.Purpose-led organizationYou become part of a world-leading company where we know and live our purpose; to safeguard life, property, and the environment, with the opportunity to tackle global change through your work.Supportive and caring cultureWe offer opportunities to connect through social and professional networks. Our largest community CONNECT, organizes after-work events and informal meetings throughout the year.Attractive rewardsWe focus on work/life balance and offer employees flexible working hours and workplace, annual vacation allowance, competitive pension, insurance, and a global profit share scheme.Diversity, Equity and InclusionAt DNV, our commitment to Diversity, Equity, and Inclusion is not only an ethical choice, but also a business decision.Diversity, fairness, and a sense of belonging are a source of strength for our people, our business, and our customers, and help us to deliver on our purpose, vision, and values.Working hereSince 1864 we’ve been dedicated to safeguarding life, property and the environment. Today we remain at the forefront of new technologies and techniques to help our customers transform for a more sustainable future.At DNV you can expect to deliver career and industry defining work. You’ll be given the time to build your network, the resources to support your development, and the freedom to satisfy your curiosity and desire to learn.FAQsWelcome to our Frequently Asked Questions page. We’ve put together answers to the questions we’re asked most often to help you find the information you need quickly and easily. Whether you're curious about our recruitment process, benefits or career growth and development, you should find the information below.Select a tab to view its content The Recruitment Process and Applications Role & Location-Specific Details Benefits & Policies Career Growth & Development General Support The Recruitment Process and Applications tab activatedHow can I find job openings that fit my skills and interests?What’s your application process like?Is your recruitment process designed to be inclusive and accessible?What types of interviews might I undergo?How long does the hiring process typically take from application to decision?How do I know if a recruitment contact is legitimately from your company?Are there any fees involved in your recruitment process?What should I do if I suspect a job scam?Join Our Talent CommunityCan't find the right fit?Be the first one to learn about new job opportunities that might be a perfect fit for you.DisclaimerPlease beware of recruitment scams that pretend to be from DNV or its employees. We will never ask you to pay any fees or make any payments as part of our recruitment process.When you join a network of global expertsYou're at the heart of it