Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of advanced forecasting models for a dynamic energy marketplace.
- Company: Join an AI-for-good startup revolutionising renewable energy in the UK.
- Benefits: Enjoy flexible remote work, wellbeing allowances, and paid company retreats.
- Why this job: Make a real impact in clean energy while mentoring a growing team.
- Qualifications: 8-11 years in time series forecasting with deep learning expertise required.
- Other info: Inclusive culture valuing diversity; applicants from all backgrounds encouraged.
The predicted salary is between 48000 - 84000 £ per year.
We are hiring for an AI-for-good startup based in London that is reimagining the future of renewable energy in the UK. Fresh off a £10M+ Series A round in April 2024, they are using cutting-edge AI to connect users directly with renewable energy generators, making clean energy more accessible, efficient, and impactful. With an eye toward a Series B raise in late 2025 or early 2026, they are building out their team to support ambitious growth and deeper market penetration.
The Role
They are looking for a Lead Data Scientist to architect a next-generation, deep learning-based time series forecasting engine. This engine will sit at the core of their dynamic energy marketplace, shaping critical decisions across pricing, risk, and broader commercial strategy. This is a high-impact, high-ownership role with clear leadership opportunities. As the company scales, the data science function will grow under your guidance. You will work closely with a team of 16 engineers who will handle data preparation, freeing you up to focus on advanced modelling and experimentation.
What You Will Do
- Design and build robust long-term forecasting models using deep learning techniques (LSTMs, RGUs, deep fusion models), though strong statistical or machine learning backgrounds are also welcome.
- Take a contextual approach to forecasting, with a focus on intelligent modelling over data wrangling (datasets are already clean and accessible).
- Prepare for a potential future shift toward short-term forecasting as the platform evolves, though long-term remains the current priority.
- Mentor and support junior data scientists as the team expands.
What You Will Need To Bring
- 8 to 11 years of experience working with time series forecasting; long-term forecasting is a plus, but strong short-term expertise is also valuable.
- Proven track record using deep learning for time series forecasting.
- Comfortable collaborating across teams and clearly communicating complex ideas.
- Experienced in mentoring junior team members.
- Nice to have: background in startups or small, fast-moving teams.
- Nice to have: product-focused mindset and familiarity with the energy sector or pricing models.
What They Offer
- Fully remote or London-based (small office space available).
- Flexible working with core hours from 10 AM to 4 PM UK time.
- Mission-driven, collaborative culture with strong team values.
- Wellbeing allowance and two fully-paid company retreats each year.
- Competitive compensation and more, as the company grows.
At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.
Lead Data Scientist (London Area) employer: Adamas Knight
Contact Detail:
Adamas Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist (London Area)
✨Tip Number 1
Familiarise yourself with the latest advancements in deep learning techniques, especially those related to time series forecasting. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your collaborative skills by preparing examples of how you've successfully worked with cross-functional teams in the past. This role requires clear communication, so being able to articulate your experiences will set you apart.
✨Tip Number 3
Highlight any mentoring experiences you have, as this role involves guiding junior data scientists. Be ready to discuss your approach to mentorship and how you've helped others grow in their careers.
✨Tip Number 4
Research the renewable energy sector and understand the challenges it faces. Being knowledgeable about the industry will not only help you in interviews but also show your genuine interest in the company's mission and goals.
We think you need these skills to ace Lead Data Scientist (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with time series forecasting and deep learning techniques. Use specific examples that demonstrate your expertise and how it aligns with the role of Lead Data Scientist.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for renewable energy and AI. Explain why you want to work for this startup and how your background makes you a perfect fit for their mission-driven culture.
Highlight Leadership Experience: Since this role involves mentoring junior data scientists, be sure to include any relevant leadership or mentoring experiences in your application. This will show that you are prepared for the high-impact nature of the position.
Showcase Collaboration Skills: Emphasise your ability to collaborate across teams. Provide examples of past projects where you successfully communicated complex ideas to non-technical stakeholders, as this is crucial for the role.
How to prepare for a job interview at Adamas Knight
✨Showcase Your Deep Learning Expertise
Be prepared to discuss your experience with deep learning techniques, particularly in time series forecasting. Highlight specific projects where you've successfully implemented models like LSTMs or RGUs, and be ready to explain the impact of your work.
✨Demonstrate Collaborative Skills
Since the role involves working closely with engineers and mentoring junior data scientists, emphasise your ability to collaborate across teams. Share examples of how you've communicated complex ideas effectively and supported team members in their growth.
✨Understand the Energy Sector
Familiarise yourself with the renewable energy landscape and pricing models. Showing that you have a grasp of the industry will demonstrate your commitment and help you connect your technical skills to the company's mission.
✨Prepare for Leadership Questions
As this is a high-impact role with leadership opportunities, be ready to discuss your vision for the data science function as the company scales. Think about how you would mentor junior team members and foster a collaborative culture within the team.
