Data Science Manager

Role Description

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. The work is technically complex and commercially critical.

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. The ML engineers are the experts. 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. You will act as a sounding board, not a reviewer. You will work closely with the Rosso Engineering Manager to ensure the ML and software engineering sides of the service collaborate well.

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.
• 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.
  • Manage sprint cadences, incident review, model monitoring feedback loops, and cross-team reporting.
• Enable technical excellence without owning it:
  • Act as a sounding board for ML engineers on questions and blockers.
  • Help surface risks and create space for the experts to make good decisions.
• 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.
  • Lead with intention in a fully remote environment.

Qualifications

• Proven experience managing ML engineers or scientists at varying ranges of experience (Junior to Staff).
• 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.

Requirements

• Background in energy, fintech, or another domain where ML is mission-critical (bonus).
• Experience building or evolving a career framework or skills matrix from scratch (bonus).
• Familiarity with the intersection of ML and software engineering (bonus).
• You have hired top ML talent in a competitive market (bonus).

Benefits

• Competitive salary with reviews twice a year using real-time market data.
• Stock Options for everyone on the team.
• 25 days holiday + public holidays, with the option to swap public holidays.
• Remote & flexible working with clear core hours.
• Home working & wellbeing budgets:
  • Up to £1,200 / €1,200 annually for remote setup.
  • Up to £150 / €150 monthly for wellbeing support.

Interview Process

• First call with our Talent Team (30 mins).
• Behaviour Interview with our Head of Data (45 mins).
• Skills Interview with the Team (75 mins).
• Culture-Add Interview with Stakeholders (45 mins).