Data Scientist in London

About ENSEK

ENSEK builds the cloud‑native SaaS software that’s transforming how energy retailers operate, innovate and manage at scale. 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 role

We 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 work with an experienced team of data scientists to deliver end-to-end data science solutions, which will include model development, deployment, experimentation and exploratory analyses. You will be comfortable working with large datasets, SQL, Python, and modern data science tooling, and will work with senior team members to ensure solutions are robust, testable, and aligned to stakeholder and business needs. You will partner closely with cross-functional teams to shape problems and ensure data science work delivers measurable value. You should be comfortable working in ambiguity, balancing short‑term delivery with longer‑term thinking, and working with senior team members to proactively identify 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 a willingness to own building impactful, production‑oriented data science capabilities.

Key responsibilities

• Translate business problems into clear data science questions with measurable success criteria and expected business outcomes.
• Independently query, transform, and analyse large datasets to structure and build reliable datasets for modelling and experimentation.
• Select and apply appropriate algorithms for well‑defined problems and evaluate performance using suitable metrics.
• Validate model and analytical outputs and clearly communicate assumptions, uncertainty, and limitations to ensure accuracy and trust.
• Understand how data flows through systems and considerations for downstream usage of data outputs.
• Write maintainable and reusable SQL and Python code following best practices.
• Apply simple ML‑Ops practices and support stable operation of models in production.
• 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 and developing models.
• Contribute to improving team practices, documentation, and team knowledge sharing to strengthen data science capability across the organisation.

Experience required

• Experience in a Data Science or Machine Learning role with a proven ability to identify and deliver data‑science solutions.
• Strong analytical thinking and problem framing skills, with the ability to work with senior team members to translate ambiguous business challenges into structured data science approaches.
• Strong understanding of statistical concepts, experimentation, model selection, evaluation, and performance measurement, with the ability to apply them appropriately in practical settings.
• Experience deploying and monitoring AI/ML solutions are desirable.
• Strong proficiency in SQL, Python and standard data science toolkits (e.g. Scikit‑learn).
• 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.
• Energy industry experience is desirable.

Company Benefits

• 25 days’ holiday + bank holidays
• Option to buy or sell 5 extra annual leave days per year
• Vitality Health Insurance, including private healthcare, virtual GP access, mental‑health support and wellbeing perks (50% off gym memberships‑Virgin Active, Nuffield, PureGym)
• Pension with 5% matched contribution
• Regular team‑wide and company‑wide events
• 2 volunteering days per year to give back
• Remote‑first working environment with offices in London and Nottingham