Head of Data Science (Commercial Insights)
Location: London (one day a week onsite)
Salary: up to £95,000
I’m working with an exciting AI-driven energy tech scale-up that’s using advanced analytics, machine learning and real-world electrical data to help commercial buildings dramatically reduce energy waste and improve operational performance.
They’re now looking for a Head of Data Science & Commercial Insights to join their leadership team and take ownership of how data science translates into real product value, customer impact and commercial outcomes.
This is a high-impact role sitting at the intersection of data science, product and commercial strategy - ideal for someone who wants to move beyond pure model-building and shape how analytics directly drives growth, sales and customer success.
🌍 The Mission
The business is tackling one of the biggest inefficiencies in the built environment: wasted energy in heating, cooling and asset operation.
Their platform turns high-frequency IoT and electrical data into actionable insight — helping customers identify inefficiencies, reduce consumption, and move toward predictive maintenance and ESG goals.
They’ve recently secured further funding and are now scaling their data science capability into a core commercial function.
🚀 The Role
This is not a research-only leadership position. They need someone who can own the bridge between data science and commercial value, ensuring everything they build is useful, usable and used.
You will:
- Translate data science outputs into customer-facing insight, product features and commercial evidence
- Shape the roadmap around real customer problems and business priorities
- Work closely with CTO, COO, Product, Engineering and Commercial teams
- Turn complex energy, HVAC and asset data into clear, trusted insight that drives decisions
- Lead delivery from prototype → production → scalable product capability
- Ensure models are robust, deployed, monitored and maintainable
- Lead and mentor a growing data science team (initially including 1 direct report)
- Support customer pilots, demos, investor updates and proof-of-value work
- Help define what “good” looks like for analytics, dashboards and insight outputs
🧠 Technical & Delivery Focus
You’ll still be hands-on and expected to lead by example technically, including:
- Applied ML on time-series / IoT / sensor / energy / building data
- Python (NumPy, pandas, scikit-learn, etc.)
- Productionisation of models into scalable workflows
- MLOps practices (e.g. MLflow, Airflow / Prefect, Docker)
- Building reproducible, well-tested data science pipelines
- Working with noisy, real-world operational datasets
- Strong model evaluation, monitoring and deployment practices
📈 What Success Looks Like
- Data science outputs consistently becoming live product features
- Clear commercial impact from analytics (sales, renewals, customer value)
- Reduced “ad hoc analysis” in favour of repeatable, scalable pipelines
- Strong customer-facing insight used in demos, pilots and reporting
- A high-performing DS function that is both technically credible and commercially sharp
👤 What They’re Looking For
- Strong applied ML background (ideally time-series / IoT / energy / industrial data)
- Proven ability to turn data science into product or commercial value
- Excellent Python skills and production-level engineering discipline
- Experience building and deploying ML pipelines in real environments
- Comfortable working with messy, high-volume real-world data
- Strong communicator - able to translate complex outputs clearly
- Experience in small, fast-moving teams or scale-ups
- Leadership experience (or clear readiness to step into it)
📍 The Package
- £85,000 – £95,000 depending on experience
- Hybrid (London SE1) – minimum 1 day per week in office
- 28 days holiday + bank holidays
- Pension scheme
- Flexible working
- Training & development budget
- Equipment provided
- Opportunity to shape a core function in a scaling business
💬 Why This Role?
This is a chance to step into a role where data science is not a support function — it is the product.
You’ll be shaping how a growing AI platform turns raw operational data into measurable energy savings, stronger customer outcomes and real-world climate impact.
For more information, please contact Hannah from Oakmont Consulting