National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Founding Data Scientist

Komodo Energy Limited
united kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Scientist

Machine Learning Engineer - Founding Team (Computer Vision / Genai) (London)

Machine Learning Performance Engineer

Artificial Intelligence Engineer - Agentic bioimage data platform

Machine Learning Engineer Language

Lead Data Scientist

Use data to accelerate the shift to a zero-carbon grid

Komodo Energy is looking for a Data Scientist to help us turn raw energy data into real-world impact through smart analysis, insight generation, and early optimisation models. We’re an early-stage climate tech startup developing intelligent software to manage and trade energy flexibility from devices like heat pumps and hot water tanks.

This is a foundational role. You’ll be our first data-focused hire, working closely with the CTO to shape how we collect, analyse, and use data from day one. If you’ve worked with energy data before—or explored it through a side project or home setup—you’ll feel right at home.

Why this role matters

Renewable energy is abundant—but only when the sun shines or the wind blows. To make clean electricity work for everyone, we need to match supply and demand more intelligently.

That’s where Komodo comes in: we help smart energy devices shift their usage in time, creating “flexibility” that supports the grid and saves customers money.

Behind the scenes, that requires a deep understanding of energy markets, customer behaviour, and the assets themselves. Your job will be to bring all of that data together—reliably, scalably, and with a clear path to real-time insight and decision-making.

What you’ll do

In the early months, you’ll help us integrate and explore our four core data sources:

Market data– prices, flexibility opportunities, and grid signals
Customer usage data– how people heat their homes, and when
Device data– from real heat pumps and smart energy assets
Manufacturer specs– technical constraints and capabilities

You’ll work hands-on with this data to uncover trends, test hypotheses, and build early versions of the models that will power Komodo’s decision engine. This includes:

  • Cleaning and transforming time-series and device data
  • Exploratory analysis to surface actionable insights
  • Building simple predictive or optimisation models to support operational decisions
  • Laying the groundwork for future machine learning and control logic

About you

You’re excited to use your data science skills to solve meaningful climate and energy problems. You don’t need to tick every box—but if this sounds like you, we’d love to hear from you.

You might have experience working with energy data, real-world devices, or just a strong curiosity about how it all works. Maybe you've worked in the energy sector—or maybe you've built your own smart home setup and tracked energy usage over time.

You likely:

  • Have a mathematical mindset and enjoy figuring things out from the data up
  • Are comfortable working with messy, real-world data
  • Have worked with time-series or real-world performance data
  • Like turning analysis into action—whether that’s a script, a model, or a dashboard
  • Care about writing reliable, maintainable code with clear documentation
  • Are collaborative, curious, and eager to learn—especially in new domains

Bonus points for:

  • Experience with flexibility services, energy trading, or IoT energy assets
  • Familiarity with UK energy market dynamics (e.g. DNOs, ESO, time-of-use tariffs)

We encourage you to apply even if you’re not sure you meet every requirement—skills can be developed. We’re more interested in your mindset, curiosity, and enthusiasm for our mission.

What we offer

  • A clean slate– Build from scratch, with strong input into architecture and tooling
  • A real mission– Every line of code or analysis helps cut carbon and reduce bills
  • High trust– You’ll have ownership from day one, with the flexibility to shape your work
  • Growth– As we scale, you’ll help grow the team—and your role can grow with it

Our Culture

At Komodo Energy, we’re building a culture where everyone feels supported, valued, and able to thrive.

We simplify the complex, work with trusted stakeholders, and aim to make life easier for our customers and partners. We ask thoughtful questions, seek diverse perspectives, and work together with openness and integrity.

Our values include:

  • Diversity and inclusion– We welcome different experiences and ways of thinking
  • Sustainability– We make environmentally responsible decisions every day
  • Excellence and transparency– We do our best work, and communicate clearly
  • Teamwork and service– We support our customers, colleagues, and community
  • Perseverance– We stay resilient, even when the path is uncertain

We care about building a team that reflects the diversity of the people and communities we serve. If you’re excited by our mission but aren’t sure you ‘fit the mould,’ we’d still love to hear from you.

How to apply

If this sounds like your kind of challenge, we’d love to hear from you.
Apply using the form below—and if you have a moment, include a few lines about why this role excites you or a question you’d want to explore if you joined.

Recruiters
We appreciate the role recruiters play in connecting talent with opportunity, but we’re currently hiring directly. If this changes, we’ll be in touch.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.