Data Science Manager

Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI‑driven efficiency or fair access for the actual users – businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale.

The Role: We're looking for a Machine Learning Manager to lead the people side of tem's most technically complex team. Rosso is tem's core IP: the AI‑powered engine at the heart of how we price, forecast, and optimise energy transactions. The ML engineers who build it work across multiple distinct specialisations simultaneously: time‑series forecasting, pricing, optimisation, and classical ML. This role exists because the ML engineers need a dedicated, full‑time leader focused entirely on their growth and performance. This is a people leadership role, not a technical authority role. Your job is to create the conditions where they can do their best work: clarity, coaching, the right operating systems, and a strong hiring bar as the team grows.

In your first 12 months, success looks like this: you have built trust with the ML engineers and established yourself as their go‑to leader; the team has clear operating rhythms, a strong feedback loop between production monitoring and development priorities, and a predictable hiring pipeline; each engineer has a clear development path; and the collaboration between ML and software engineering within Rosso is noticeably stronger.

Responsibilities:

• Build a high‑performing ML team: Lead hiring, onboarding, performance management, and career development.
• Set the frameworks, operating rhythms, and succession plans that give ML engineers clarity, support, and room to grow.
• Own the team's operating systems: Build and maintain the rituals and structures that keep the team effective.
• Enable technical excellence without owning it: Act as a sounding board for ML engineers on questions and blockers.
• Drive collaboration with the Rosso Engineering Manager: Partner closely to align priorities between the ML and software engineering teams.
• Represent the team and champion tem's culture: Communicate progress, risks, and priorities clearly to the broader organisation.

Requirements:

• Proven experience managing ML engineers or scientists at varying ranges of experience.
• A strong people development track record.
• Experience building and owning team operating systems.
• A strong hiring instinct for ML roles.
• Experience managing a technically diverse team.
• Experience in a startup or high‑growth environment.

Bonus points:

• Background in energy, fintech, or another domain where ML is mission‑critical.
• Experience building or evolving a career framework or skills matrix from scratch.
• Familiarity with the intersection of ML and software engineering.

Benefits & Perks:

• Competitive salary reviewed twice a year.
• Stock Options - everyone on the team has ownership in our mission.
• 25 days holiday + public holidays.
• Remote & flexible working.
• Home working & wellbeing budgets.

We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors.