Data Scientist

Acceler8 Talent; London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A fast-growing startup in the energy sector is seeking a Data Scientist in London. The role focuses on applying Python and Data Science to optimize energy usage in real-time. The ideal candidate will join a small team, engage in greenfield projects, and contribute to a mission-focused environment. Full-time employment is offered with a hybrid working model.

Qualifications

• Experience in applying Python to complex problems.
• Proven background in Data Science and predictive analytics.
• Familiarity with energy optimization systems.

Responsibilities

• Apply Python + Data Science to complex energy problems.
• Build 0→1 systems for prediction and real-time optimization.
• Work in a mission-driven, learning-focused environment.

Skills

Python

Data Science

Real-time optimization

Job description

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Overview

Data Scientist | Energy Tech | London (Hybrid)

A fast-growing startup in the net-zero space is looking for a Data Scientist to help build the foundation of real-time energy optimization.

With $10M+ backing from top VCs (early investors in Meta, Slack, BeReal), they’re tackling one of the energy grid’s toughest challenges: balancing supply and demand to shift usage toward cleaner, cheaper power.

• Small, high-caliber team of engineers
• Greenfield projects with direct real-world impact
• Strong early-stage momentum with solid financial backing

The role:

• Apply Python + Data Science to complex energy problems
• Build 0→1 systems for prediction and real-time optimization
• Work in a mission-driven, learning-focused environment

London-based | Hybrid (2–3 days/week in office)

Interested? Apply now!

Responsibilities

• Apply Python + Data Science to complex energy problems
• Build 0→1 systems for prediction and real-time optimization
• Work in a mission-driven, learning-focused environment

Qualifications and Employment Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology, Science, and Research
• Industries: Climate Data and Analytics, Technology, Information and Media, and Software Development

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