At a Glance
- Tasks: Lead data science initiatives to drive commercial insights and product value in energy tech.
- Company: Exciting AI-driven energy tech scale-up focused on reducing energy waste.
- Benefits: Competitive salary, hybrid work model, 28 days holiday, and growth opportunities.
- Other info: Join a dynamic team and mentor emerging data scientists in a high-impact role.
- Why this job: Shape the future of energy efficiency while making a real impact on sustainability.
- Qualifications: Strong background in applied ML, Python skills, and experience in commercial data science.
The predicted salary is between 85000 - 95000 £ per year.
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 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.
They need someone who can own the bridge between data science and commercial value, ensuring everything they build is useful, usable and used:
- Translate data science outputs into customer-facing insight, product features and commercial evidence
- 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 and mentor a growing data science team (initially including 1 direct report)
- Help define what “good” looks like for analytics, dashboards and insight outputs
Requirements:
- Applied ML on time-series / IoT / sensor / energy / building data
- Python (NumPy, pandas, scikit-learn, etc.)
- Building reproducible, well-tested data science pipelines
- Strong model evaluation, monitoring and deployment practices
- 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 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
Salary: £85,000 – £95,000 depending on experience
Location: Hybrid (London SE1) – minimum 1 day per week in office
Benefits: 28 days holiday +
Head of Data Science/AI employer: Oakmont Consulting
Join an innovative AI-driven energy tech scale-up in London, where you'll play a pivotal role in transforming data science into tangible commercial value. With a strong focus on employee growth and a collaborative work culture, this company offers unique opportunities to lead a dynamic team while tackling critical energy efficiency challenges. Enjoy a hybrid working model, competitive salary, and generous holiday allowance as you contribute to meaningful advancements in the built environment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science/AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository where you can display your projects, especially those related to data science and AI. This gives us a chance to see your work in action and understand how you can add value to our team.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data science roles. We want to see how you think and approach problems, so be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our exciting journey in the energy tech space.
We think you need these skills to ace Head of Data Science/AI
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science and AI shine through. We want to see how you can translate complex data into real-world solutions, so share examples of your past work that highlight your impact in this area.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Head of Data Science role. We’re looking for someone who understands the intersection of data science and commercial strategy, so highlight relevant experiences that demonstrate your ability to drive growth and customer success.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid jargon unless it’s necessary, and make sure your key achievements stand out.
Apply Through Our Website:We encourage you to apply directly through our website. This helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward – just follow the prompts!
How to prepare for a job interview at Oakmont Consulting
✨Know Your Data Science Inside Out
Make sure you’re well-versed in the latest trends and techniques in data science, especially around applied machine learning and time-series analysis. Brush up on your Python skills and be ready to discuss how you've turned complex data into actionable insights in previous roles.
✨Understand the Business Impact
This role is all about translating data science into commercial value. Be prepared to share specific examples of how your work has driven growth or improved customer outcomes. Think about metrics that matter and how your insights have led to tangible results.
✨Showcase Your Leadership Skills
As a Head of Data Science, you’ll be leading a team. Highlight your experience in mentoring and guiding others, and be ready to discuss how you’ve fostered a collaborative environment. Share your vision for building a strong data science culture within the company.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Be ready to discuss your experience with building reproducible data science pipelines and deploying ML models in real-world environments. Practise explaining complex concepts in simple terms, as you’ll need to communicate effectively with non-technical stakeholders.
