Senior Data Science Innovator
Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Senior Data Science Innovator
Locations: Bristol, United Kingdom | Oslo, Norway | Barcelona, Spain
Business: Energy Systems
Contract type: Permanent Employee
Job ID: 6911
Overview
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 Role
Are 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 tests 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 Do
- Uncover customers’ pain-points and desired gains
- Discover and define the problem worth solving by interviewing customers, and mapping inefficiencies in internal processes
- Develop and deliver analytical solutions
- Translate ideas into structured solutions
- Own end-to-end delivery
- Collaborate and influence stakeholders
- Provide technical leadership
Requirements
Must-Have Experience
- A Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or Physics
- Significant experience in data science or applied analytics
- Proven ability to work independently on loosely defined problems and turn them into structured, testable solutions
- Experience delivering end-to-end data science solutions, from exploration to deployment or handover
- Experience working with business stakeholders or product teams
Technical Skills
- Solid understanding of statistical methods and machine learning techniques, focused on time series data and text
- Strong programming skills in Python and experience with standard data science libraries such as pandas, numpy, scikit-learn, tensorflow, pytorch
- Experience working with data systems, structured and unstructured databases such as ClickHouse or MongoDB
- Familiarity with APIs, pipelines, Kubernetes, and Linux environments
- Experience with version control tools such as Git and containerization tools such as Docker
Ways of Working
- High level of ownership and autonomy, combined with a collaborative and team-oriented approach
- Strong problem-solving mindset, with the ability to structure complex challenges independently
- Innovator’s mindset, centred around problem discovery, experimentation, and pivoting; you see change as an opportunity rather than a problem
- Comfortable working in a safe environment where ideas are challenged respectfully, and the best outcomes are prioritized over individual ownership
- Ability to work effectively in cross-functional and innovation-driven environments
Nice to Have
- Ability to identify and validate customer problems through interviews, research, and synthesis of insights
- Exposure to energy systems or other complex industrial domains
- Experience with data visualization and building web apps with React, Dash, Streamlit, or any other frameworks
- Experience mentoring or supporting other data scientists
- Experience developing AI apps (chatbots, copilots, agents), computer vision, advanced NLP, physics-informed neural networks
We Offer
- Comprehensive benefits package aligned to local market practices
- Equal Opportunity Employer
- Profit Share: Part of our global profit share scheme
- Insurance: Travel, life, and accident insurance
- Pension Schemes: Long-term financial security
- Professional Development: 70/20/10 learning model
- Hybrid Working: Flexible working hours and workplace
- Purpose-led organization: Opportunity to tackle global change
- Supportive and caring culture: Opportunities to connect through social and professional networks
- Attractive rewards: Work/life balance, flexible working hours, vacation allowance, competitive pension, insurance, and a global profit share scheme
About the Company
Since 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.
Diversity, Equity, and Inclusion
At 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.
Application Process
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Disclaimer
Please 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.