Senior Data Scientist
About this role
We help retailers lower operating costs, improve billing accuracy for consumers, and enhance customer experience through automation and AI‑driven insight, all underpinned by modern, cloud‑native architecture. ENSEK is at an exciting inflection point as we scale at pace towards new international horizons. If you’re driven by solving complex, real‑world problems and want to build modern technology that accelerates the global energy transition, you’ll feel right at home with us. About the roleWe are seeking a capable and proactive Data Scientist to join our Data Function. You will work closely with Product, Engineering and Commercial teams to translate business problems into clear data science opportunities that support decision-making and drive product and customer outcomes. You will own and deliver end-to-end data science solutions for complex use cases, which will include model development, deployment, experimentation and exploratory analyses. You will be comfortable working with large datasets and modern data science tooling, and will take ownership for ensuring solutions are robust, testable, and aligned to stakeholder and business needs. You will partner closely with cross-functional teams to shape problems, evaluate trade-offs, and ensure data science work delivers measurable value. You should be comfortable working with a high level of autonomy in ambiguity, balancing short-term delivery with longer-term thinking, and proactively identifying opportunities where data science can improve products, processes, or customer outcomes. This role is ideal for someone who combines strong technical foundations with excellent communication, stakeholder management and own building impactful, production-oriented data science capabilities. Key responsibilities: • Translate complex business problems into clear data science questions with measurable success criteria and expected business outcomes. • Own and design practical ML solutions, using experimentation to assess trade offs and challenge assumptions while balancing model performance, explainability, and usability. • Design robust data structures and features for modelling, accounting for system constraints and dependencies to ensure data supports reliable, scalable, and effective model behaviour. • Design experiments to evaluate model performance. • Validate model and analytical outputs and clearly communicate assumptions, uncertainty, and limitations to ensure accuracy and trust. • Write maintainable and robust production-quality SQL and Python code following best practices. • Understand the full model lifecycle in production and design appropriate monitoring, validation, and retraining approaches to ensure models remain reliable, robust, and effective over time. • Communicate findings, recommendations, and technical concepts in practical, accessible terms to both technical and non-technical audiences. • Follow data governance, security, responsible AI, and compliance standards when handling sensitive data, designing and deploying models. • Mentor junior team members and foster a collaborative environment through constructive discussion, documentation and knowledge sharing. • Contribute to improving team practices, modelling and engineering standards to strengthen data science capability across the organisation. Experience required: • 5+ years experience in a Data Science or Machine Learning role with a proven ability to identify and deliver end-to-end data-science solutions. • Strong analytical thinking and problem framing skills, with the ability to work independently to translate ambiguous business challenges into structured data science approaches. • Strong understanding of statistical concepts, experimentation, model selection, evaluation, and performance measurement, with proven ability to apply them appropriately in practical settings. • Experience working with a variety of AI/ML use cases, deploying and monitoring AI/ML solutions. • Strong proficiency in SQL, Python and data science toolkits (e.g. PyTorch). • Experience writing production quality code, with sufficient testing. • Experience working with Cloud Platforms and BI tooling. • Experience with Databricks and Sigma are desirable. • Ability to communicate findings and recommendations clearly to both technical and non-technical audiences • Strong attention to detail and commitment to building robust, reliable, and reproducible solutions with appropriate validation and documentation.
What this role is, and what else it is called
Employers in London advertise this kind of work as Data Analyst, Senior Data Engineer, Data Engineer and Data Scientist too, so it is worth searching more than one wording. It is a senior Data, AI & Machine Learning role in London, advertised as fully remote, so it is open to candidates working from home.
About hiring at ENSEK
ENSEK has 7 other live technology roles on its careers page, across DevOps, Platform & SRE, Software Engineering and Cybersecurity. Of those, 100% are advertised as fully remote and 0% as hybrid. Elsewhere in its adverts ENSEK asks for Terraform, AWS, C#, Azure and Microsoft SQL Server. See all ENSEK roles, salaries and stack.
How this role compares to the market
1,940 live UK roles list Python right now, from 579 employers. The median advertised salary is £75,000; 28% are advertised as remote. Browse Python roles.
114 live UK roles list PyTorch right now, from 56 employers. 32% are advertised as remote. Browse PyTorch roles.
London has 4,258 live IT vacancies across 1,363 employers, with a median advertised salary of £70,000. Browse London roles.
Senior roles make up 1,623 of the live UK IT market and advertise a median of £75,000.
Market figures are today's snapshot of live UK roles on employer careers pages; see hiring trends.
Technologies mentioned
Detected on ENSEK's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site. More IT jobs in London.