Senior Data Scientist

Description

Reporting to the Head of Data, the Senior Data Scientist will shape innovative energy products. Working across Operations, Finance, Sales, Trading and Product teams, you will analyze customer behavior, consumption patterns and develop advanced models to uncover opportunities in traded and flexibility markets, informing strategic decisions and enhancing customer segmentation.

The role involves end‑to‑end analytical initiatives, from framing operational problems to delivering executive recommendations. You will build predictive and propensity‑to‑contact models, design A/B tests, segment customers, and partner with Operations, Customer Experience, Product and Technology teams to translate insights into measurable outcomes.

• Analyze customer interaction, billing, payments, and service data to identify drivers of contact and failure demand.
• Develop and maintain predictive models and statistical forecasts for contact volumes and operational workload.
• Build propensity‑to‑contact models across voice, chat and digital channels for proactive demand deflection.
• Design and evaluate customer experience interventions using A/B testing and quasi‑experimental methods.
• Quantify failure‑demand drivers by linking upstream process issues to downstream customer contacts.
• Segment customers based on behavioral and risk patterns to inform operational and experience outcomes.
• Collaborate with Operations, Customer Experience, Contact Centre, Product and Technology teams to implement data‑driven changes.
• Produce clear visualisations and analytical narratives for senior stakeholders.
• Lead end‑to‑end analytical projects from hypothesis formulation to executive recommendations.
• Apply advanced techniques such as regression, time‑series forecasting, survival analysis and causal inference.
• Ensure compliance with data privacy, security and regulatory governance.
• Extract, transform and analyse high‑volume datasets using advanced SQL and Python.

Requirements

We are looking for candidates with a degree in Data Science, Computer Science, Statistics, Mathematics or a related field, strong energy‑industry experience, and proven expertise in statistical modelling, forecasting and optimisation. Proficiency in Python, SQL and cloud platforms (Google Cloud, AWS) plus experience with machine‑learning frameworks is essential.

• Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics or related field.
• Significant experience in retail or wholesale energy, including market dynamics and regulatory frameworks.
• Proven track record in statistical modelling, forecasting, optimisation and machine learning.
• Strong proficiency in Python, SQL, Google Cloud and AWS.
• Experience with TensorFlow, Scikit‑learn or XGBoost.
• Demonstrated stakeholder management and ability to communicate insights to non‑technical audiences.
• Hands‑on experience with pricing models, demand forecasting or churn prediction in energy utilities.
• Familiarity with time‑series forecasting, reinforcement learning or Bayesian modelling.
• UK energy or utilities sector experience (desirable).
• Knowledge of regulatory price‑cap modelling and compliance analytics (desirable).
• Exposure to demand‑side response, flexibility services or virtual power plants (desirable).
• Understanding of low‑carbon technologies such as solar, battery storage, EV charging and electrified heating (desirable).

Benefits

We prioritize matching the right person to the right role and ensure salary is not a barrier. During the application process we discuss salary expectations openly. The position is based in Chiswick, London, with a hybrid schedule of two days in the office, and sponsorship is not available.

Our total rewards package includes a hybrid working charter, personalised learning budgets, up to a 10 % performance bonus, annual salary reviews, living‑wage commitment, birthday leave, three So Giving Days, enhanced family leave, mental‑wellbeing support, health benefits and multiple recognition programmes.

• Hybrid work with Smart Working Charter (2 days office).
• Personalised learning & development budget and L&D buddies.
• Educational sponsorships and internal learning platform.
• Up to 10 % performance bonus and annual salary reviews.
• Living‑wage guarantee and birthday off.
• Three So Giving Days and enhanced family leave.
• Mental‑wellbeing support via Unmind, free eye tests and flu vaccinations.
• Perkbox wellbeing and savings benefits, menopause policy.
• Affinity groups, bi‑annual value awards, monthly events and charitable fundraising opportunities.

Training + Development

Interview process

Visa Sponsorship

Security clearance