Data Scientist

Understanding Recruitment; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

A fast-growing startup in London is looking for a talented Data Scientist to join their team. You will work on cutting-edge data science innovations that drive insights and solutions in the energy sector, focusing on climate change. The role offers a competitive salary range of £60,000 - £100,000, a hybrid working arrangement, and significant ownership of your work.

Benefits

Salary £60,000 - £100,000

Equity options

Opportunity to work on environmental impact projects

Career growth path

Qualifications

• Strong background in data science and machine learning, particularly with time-series data.
• Expertise in Python with experience in deploying models to production.
• Experience with Docker containerisation and cloud platforms (preferably GCP).

Responsibilities

• Develop and deploy machine learning models for energy optimisation.
• Analyse complex time-series data to drive insights and decision-making.
• Collaborate with cross-functional teams to drive innovation in energy systems.

Skills

Data science and machine learning

Python

Docker containerisation

Cloud platforms (GCP)

Communication skills

Interest in climate tech

Job description

Data Scientist - GreenTech Start Up - London

A fast-growing startup revolutionising the energy sector are looking for talented Data Scientists to join their team.

What Will You Be Doing:

You’ll be at the forefront of data science innovations in the energy sector, working on projects that directly impact climate change through:

• Developing and deploying machine learning models for energy optimisation
• Analysing complex time-series data to drive insights and decision‑making
• Working directly with clients to understand their needs and implement solutions
• Contributing to the company's core technology platform and expanding its capabilities
• Collaborating with cross‑functional teams to drive innovation in energy systems

What We're Looking For:

• Strong background in data science and machine learning, particularly with time‑series data
• Python expertise with experience in deploying models to production
• Experience with Docker containerisation and cloud platforms (preferably GCP)
• Knowledge of electricity systems and power trading is advantageous
• Excellent communication skills for client interactions
• Deep interest in climate tech and sustainability

What's In It For You:

• Salary £60,000 - £100,000 dependent on experience plus equity
• Opportunity to work on cutting‑edge projects with tangible environmental impact
• Significant ownership of your work and clear career growth path
• Hybrid working arrangement (2-3 days in London office)

Please apply now for immediate consideration!