Senior Data Scientist in London

Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we’ll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us!

Location: Chiswick, London - Hybrid - 2 days per week in the office

Sponsorship: We are unable to offer sponsorship for this role

The Role

Reporting to our Head of Data, we are seeking an experienced Senior Data Scientist with a strong background in the Energy industry to support our Product function and help us harness the power of data to transform the energy sector and influence the experiences we build for our customers. By working closely with Operations, Finance, Sales, Trading and Product teams, you will analyse customer behaviours, consumption patterns, develop advanced models, and uncover new opportunities within traded and flexibility markets. Your insights will guide strategic decisions and enhance customer segmentation to better meet our customers’ needs.

What you’ll be getting up to in this role:

• Analyse customer interaction, billing, payments, and service data to identify drivers of customer contact, repeat contact, and failure demand across operational journeys.
• Develop and maintain predictive models and statistical forecasts for customer contact volumes, demand by contact reason, and operational workload to support accurate target-setting and capacity planning.
• Build propensity-to-contact models that identify customers at risk of contacting across different channels (voice, chat, digital), enabling proactive intervention and demand deflection.
• Design and evaluate customer experience interventions using robust statistical methods, including A/B testing and quasi-experimental approaches, to measure causal impact on contact rates, resolution, and satisfaction.
• Identify and quantify failure demand drivers by linking upstream process failures (e.g. billing accuracy, meter reads, payments) to downstream customer contact and repeat interactions.
• Segment customers based on behavioural, transactional, and interaction patterns, with a focus on operational risk, vulnerability, and experience outcomes rather than purely commercial value.
• Partner closely with Operations, Customer Experience, and Contact Centre teams to translate analytical insights into actionable operational changes and measurable outcomes.
• Collaborate with Product and Technology teams to ensure operational journeys are designed and evolved using evidence-based insights and monitored through appropriate success metrics.
• Develop clear and effective visualisations and analytical narratives to communicate findings, uncertainty, and confidence levels to senior operational stakeholders.
• Own end-to-end analytical initiatives, from framing operational problems and defining hypotheses through to modelling, evaluation, and executive-level recommendations.
• Apply advanced statistical techniques, including regression, time-series forecasting, survival analysis, and causal inference, to solve complex operational and customer experience problems.
• Ensure all analytical work adheres to data privacy, security, and regulatory requirements, with appropriate governance and documentation.
• Use advanced SQL and Python to extract, transform, and analyse complex, high-volume datasets, ensuring analytical robustness and reproducibility.

You’re a great match if you have:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong energy industry experience (retail or wholesale energy) with deep knowledge of market dynamics, regulatory frameworks, and pricing structures.
• Proven track record in data science and advanced analytics, with experience in statistical modelling, forecasting, and optimisation.
• Strong proficiency in Python, SQL, and cloud-based data platforms (mainly Google Cloud and AWS).
• Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, XGBoost).
• Strong stakeholder management skills, with the ability to communicate findings to non-technical teams and influence business strategy and commercial outcomes.
• Hands-on experience with pricing models, demand forecasting, or churn prediction in an energy or utilities setting.
• Experience in automating pricing and customer segmentation strategies.
• Familiarity with time-series forecasting, reinforcement learning, or Bayesian modelling.

Desirable Skills

• Experience in the UK energy sector or utilities industry.
• Knowledge of regulatory price cap modelling and compliance analytics.
• Familiarity with demand-side response, flexibility services, or virtual power plants.
• A working understanding of low carbon technologies, such as solar, battery storage, EV charging and electrified heating.
• Understanding of regulatory frameworks and compliance standards in the UK energy market.

Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart. We encourage you to apply and tell us about your journey, even if you don’t tick all the boxes.

What’s in it for you?

• Smart Working Charters - Hybrid working – Each team has its own Smart Working Charter.
• Growth & Development - Personalised learning & development budgets– to support your growth journey, L&D buddies to guide you along the way.
• Pay & Reward - Up to 10% performance bonus – based on company and personal performance.
• Time Off That Matters - Your birthday off – it only comes once a year, so enjoy it!
• Health & Wellbeing - Unmind – Access to personalised coaching or therapy to support your mental wellbeing.
• Belonging & Recognition - Affinity Groups – join one of our employee groups to foster meaningful connections.

As a Disability Confident Committed employer, we encourage applications from everyone, and we will ensure fair and accessible recruitment for all. At So Energy, we’re committed to cultivating an environment that promotes diversity, equity, inclusion, and belonging.