Principal Data Scientist

We're looking for three talented Principal Data Scientists to join our supportive and forward-thinking Commercial Data team. Each role offers a unique opportunity to make a real impact and shape how we use data to create meaningful change across the business. You'll join a team that values openness, curiosity, and innovation, where your voice is heard and your contributions make a difference. Here, you can grow, mentor others, explore new ideas and help us deliver smarter, more impactful solutions across the business.

Principal Data Scientist Pricing - We're looking for someone who's eager to make a genuine difference, helping shape how we approach pricing in a rapidly evolving energy industry. You'll work closely with our Pricing team, combining your technical strengths with a collaborative, people-first mindset to deliver insights that drive smarter, fairer and more sustainable decisions.

Principal Data Scientist AI & Flex - This role will focus on supporting AI and Data Science within our Flex space one of the most exciting and strategically important areas of the business. You'll help us explore new ways to use intelligent data solutions, working alongside innovative thinkers and technical specialists to unlock the full potential of advanced analytics and automation.

Principal Data Scientist Credit Risk and Customer Insights - We're also seeking a Principal Data Scientist with strong experience in debt and credit risk, ideally with a background in customer segmentation. In this role, you'll help us better understand our customers, building models and insights that support fair, informed decisions and stronger customer relationships.

Here's a taste of what you'll be doing:

As a Principal Data Scientist, you'll combine deep technical expertise with a consultative, collaborative approach. Across these roles, you will:

• Lead data science projects from initial ideas through to delivery, ensuring work is both rigorous and impactful

• Partner with colleagues across functions, listening carefully and helping them see what's possible through data

• Translate complex business needs into thoughtful, practical data products that support better decision-making

• Apply a wide toolkit of methods from classical statistics and regression models to neural networks, ensemble methods, and AI techniques, to answer important business questions

• Share insights through clear, compelling storytelling, dashboards, and visualisations that empower senior stakeholders to act with confidence

• Coach and mentor junior data scientists, fostering a culture of growth, curiosity and innovation

• Champion collaboration, knowledge-sharing and experimentation across the data science and wider business community

Where you could make an impact:

Pricing Focus

• Shape how we approach pricing in a rapidly evolving energy market

• Build fairer, more innovative pricing solutions through advanced analytics and data-driven insights

• Translate complex business requirements into practical models that directly influence commercial decisions

Questions about this role? Reach out to

Credit risk and Customer Insights Focus

• Support strategic decision-making around debt, credit risk and customer segmentation

• Build robust predictive models and propensity models to better understand our customers

• Partner with business stakeholders to uncover opportunities for data science applications, including NLP and Gen AI

Questions about this role? Reach out to

AI & Flex Focus

• Drive innovation in AI and advanced analytics in our Flex space, a strategically important area

• Design, build, and deploy models and solutions that deliver measurable business impact

• Explore new ways to leverage data for predictive modelling, automation, and intelligent insights

Questions about this role? Reach out to

Are we the perfect match?

• 5-7+ years of hands-on experience as a Data Scientist, with exposure to productionised models

• Degree (BSc or MSc) in a quantitative or technical field (Statistics, Mathematics, Physics, Computer Science, Machine Learning)

• Strong programming skills in Python (production-level) and SQL; confident with modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch

• Familiarity with MLOps frameworks, model deployment, and cloud-based platforms (Databricks, AWS, Azure)

• Strong experience with data visualisation tools and techniques; able to turn complex results into accessible insights

• Excellent communicator; able to explain technical concepts to non-technical audiences with clarity and empathy

• Passionate about collaboration, curiosity, and mentoring others; motivated to create positive change through data

It would be great if you had:

• Experience in the energy or retail sector

• Background in pricing, commercial modelling, credit risk, or debt

• Exposure to PySpark or other big data tools

• Experience with NLP, Generative AI, or advanced predictive modelling