oracle
Senior Data Science Innovator
DNV
Bristol, GBR
Full-time
Senior
Onsite
Discovered 1 months ago
Pythonpandasnumpyscikit-learnTensorFlowPyTorch
Key Skills for This Role
Pythonpandasnumpyscikit-learnTensorFlowPyTorch
Full Job Posting
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 workstreams 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.
Responsibilities
- Our benefits offering is aligned to local market practices and will vary depending on the country of employment, specifically the United Kingdom, Spain or Norway.
Qualifications
- 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 timeseries 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 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, 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
- You are 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
- Please 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.
About DNV
Renewable Energy15000 employeesFounded 1864
Global independent expert in assurance and risk management.
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