Data Scientist (Quant)

ZipRecruiter; London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A dynamic scale-up based in London seeks a Data Scientist (Quant) to drive innovation in clean energy solutions. You will build and deploy machine learning models, optimize energy systems, and work on impactful, technology-driven projects within a vibrant team. This hybrid position offers competitive compensation and the chance to contribute to a sustainable future.

Benefits

Impactful work in a dynamic start-up

Competitive compensation

Work within tech-for-good

Qualifications

• Advanced Python programming skills required.
• Strong quantitative skills in statistics and modeling needed.
• Passionate about climate solutions.

Responsibilities

• Build and deploy ML models for energy and climate data.
• Create data pipelines using Python.
• Collaborate on greentech strategies.

Skills

Python programming

Quantitative skills

Statistical analysis

Education

Degree in Data Science

Degree in Computer Science

Degree in Mathematics

Tools

pandas

scikit-learn

TensorFlow

AWS

GCP

Job description

Job Description

Data Scientist (Quant)

Location: London, UK (Hybrid)

We are working with a scale-up and London-based team who are driving clean energy innovation to combat climate change. Are you ready to join their mission to build a sustainable future?

Responsibilities

• Build and deploy ML models for energy and climate data.
• Create data pipelines using Python (pandas, scikit-learn, TensorFlow).
• Apply quant skills to optimise energy systems.
• Collaborate on greentech strategies.

Requirements:

• Advanced Python programming.
• Strong quantitative skills (stats, modelling).
• Passion for climate solutions.
• Degree in Data Science, CS, Math, or related.
• Ideal: Clean energy/greentech experience, cloud platforms (AWS/GCP).

Why join this team?

• Impactful work in a dynamic start-up.
• A hybrid role in vibrant London.
• Compeittive compensation.
• Work within tech-for-good.