Lead Data Scientist – Energy Domain

About the Position

Lead Data Scientist – Energy Domain

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Build the models powering the future of energy system planning.

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Responsibilities

• Utilise Python for advanced data analysis, exploration, feature engineering, and data processing to uncover insights, trends, and patterns, leveraging approved AI tools where appropriate to accelerate analysis and improve efficiency while maintaining rigorous validation and review.
• Develop and implement statistical models, machine learning models, and algorithms, with a particular focus on time series modelling and forecasting, supporting robust, scalable, and explainable solutions for complex energy challenges.
• Lead model development using Azure ML, Databricks, and modern MLOps practices, ensuring effective deployment, monitoring, governance, and lifecycle management, with appropriate auditability, human oversight, and responsible AI guardrails.
• Collaborate with stakeholders and cross-functional teams to translate business challenges into practical, data-driven solutions while mentoring colleagues, conducting code reviews, and promoting engineering excellence and knowledge sharing.
• Stay current with advances in data science, cloud technologies, and AI, including Generative AI and Agentic AI where appropriate, identifying opportunities to improve ways of working and deliver greater value for clients.

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Requirements

• Strong hands-on experience in Python, machine learning, statistical modelling, and advanced time series forecasting within enterprise-scale environments.
• Proven experience delivering production-grade analytical solutions using Azure ML, Git, Databricks, MLOps, and modern software engineering practices.
• Strong stakeholder management, leadership, and communication skills, with experience mentoring teams and translating complex analytical outputs for both technical and non-technical audiences.
• Excellent understanding of model validation, feature engineering, explainability, data quality, and governance, along with an appreciation of responsible AI practices, human-in-the-loop decision making, and appropriate AI controls.
• A curious mindset with a willingness to adopt approved AI-enabled workflows and automation to improve quality, productivity, and delivery outcomes while maintaining professional judgement and accountability.

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Nice to Have

• Experience working with geospatial data and spatial analytics.
• Experience with AI, including Generative AI and Agentic AI, applied within enterprise environments.
• Experience with energy system modelling, grid analytics, demand forecasting, or energy market data.
• Familiarity with distributed computing, Spark, PySpark, or cloud-native data platforms.
• Experience developing models for planning, scenario analysis, operational decision support, model governance, or regulatory reporting.

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We Offer

• Deliver high-impact technology and analytics solutions across complex Energy and Financial Services environments.
• Work in a collaborative, flat, and entrepreneurial consulting culture where innovation is encouraged.
• Access continuous learning, technical training, certifications, and career coaching from day one.
• Help shape the future of AI, advanced analytics, and digital transformation.
• Join a team that values technical excellence, collaboration, and continuous improvement.

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Benefits

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance, and critical illness cover.
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday Flexibility: 5 weeks' annual leave with the option to buy or sell holiday days based on your needs.
• Continuous Learning: Minimum 40 hours of training annually through workshops, certifications, and e-learning, plus a dedicated Business Coach from day one.
• Healthcare Access: Convenient online GP services.
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

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About the Company

We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.