Senior Data Scientist
Want to play an integral part in the UK's journey to a Net Zero Future? This might be the job for you
We usually respond within a week
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 👋
Are you ready to shape the future of innovative products within the Energy Industry? 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.
⭐ Why So Energy?
So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we’ve grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we’re not done! We’re on the road to a net-zero future, and thanks to our partnership with ESB, we’re well on the way. We’re customer-centric, tech-led, and passionate about sustainability.
We’re driven to do our best for our customers, for each other, and for our planet. That’s why we’ve built a workplace culture that’s supportive, empowering, inclusive, and full of opportunities to grow and make an impact.
At So Energy, we take pride in our values-driven culture. We live and breathe by our six core values that guide everything we do:
Clear
Honest
Ambitious
Inquisitive
Caring
Sustainable
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 (eg. 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 (eg., 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. Ask your talent partner for more details.
Growth & Development
Personalised learning & development budgets – to support your growth journey, L&D buddies to guide you along the way.
Educational Sponsorships
Internal learning platform – with thousands of valuable resources.
Pay & Reward
Up to 10% performance bonus – based on company and personal performance.
Annual Salary Reviews – to ensure we remain competitive in the market.
Commitment to being a real living wage provider.
Time Off That Matters
Your birthday off – it only comes once a year, so enjoy it!
3 So Giving Days – spend time supporting a cause you care about.
Enhanced family leave – supporting you through every life chapter.
Health & Wellbeing
Unmind – Access to personalised coaching or therapy to support your mental wellbeing.
Physical Support – Free eye tests, flu vaccinations.
Access to Perkbox – Additional wellbeing & savings benefits.
Menopause Policy – To ensure all employees are being taken care off.
Belonging & Recognition
Affinity Groups – join one of our employee groups to foster meaningful connections.
Bi-annual Value Awards – because your hard work deserves recognition.
Monthly events – to find balance and bring our team together.
Charitable Fundraising – to give back to our communities.
🧩 Diversity, Equity, Inclusion & Belonging
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. We are a global community, and we believe our unique qualities should be celebrated as they are critical to our innovation. It’s essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise. Inclusion isn’t just an initiative at So Energy. We strive to embed it throughout our entire culture.
- Department
- Data Engineering
- Role
- Senior Maching Learning Engineer
- Locations
- London HQ
- Remote status
- Hybrid