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Lead Data Scientist

Adamas Knight

Greater London

Remote

GBP 35,000 - 46,000

Full time

Today

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Job summary

A leading AI-for-good startup in London seeks a Lead Data Scientist to develop a deep learning-based forecasting engine for renewable energy. This high-impact role offers leadership opportunities and the chance to shape critical business decisions while working with a dynamic team.

Benefits

Flexible working hours

Wellbeing allowance

Two fully-paid company retreats annually

Competitive compensation

Qualifications

8 to 11 years of experience in time series forecasting.
Proven track record using deep learning for forecasting.

Responsibilities

Design and build forecasting models using deep learning techniques.
Mentor and support junior data scientists.

Skills

Deep Learning

Time Series Forecasting

Statistical Analysis

Mentoring

Collaboration

We're hiring for an AI-for-good startup based in London that's reimagining the future of renewable energy in the UK.

Fresh off a £10M+ Series A round in April 2024, they’re 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're building out their team to support ambitious growth and deeper market penetration.

The Role

They’re 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’ll work closely with a team of 16 engineers who’ll handle data prep- freeing you up to focus on advanced modeling and experimentation.

What You’ll 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 modeling 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'll 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.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Software Development

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