Senior Data Science Innovator
Job in
Bristol, Bristol County, BS1, England, UK
Listed on 2026-08-12
Listing for:
DNV GL
Full Time
position Listed on 2026-08-12
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
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 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 Design, build, and refine models and algorithms supporting experiments, prototypes, and minimum viable products, using statistical and machine learning approaches Translate ideas into structured solutions Turn business or innovation ideas into testable experiments to validate against the data or with the stakeholders Own end-to-end delivery Lead analytical work streams from problem framing to prototype development, validation, and handover to production or scaling teams Collaborate and influence stakeholders Work closely with experiment managers, engineers, domain experts, and product teams to build alignment, communicate insights, and ensure adoption of solutions Provide technical leadership Mentor other team members, share best practices, and contribute to internal data science communities
If 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. You 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 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, tensor flow, pytorch Experience working with data systems, structured and unstructured databases such as Click House or MongoDB Familiarity with APIs, pipelines, kubernetes and linux environments.
Experience with version control tools such as Git and containerisation 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,…
Position Requirements
10+ Years
work experience
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