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Job Description

Job Title: Data Scientist

Location: London (Hybrid)

Salary: £40,000–£65,000

Hiring: Multiple Position Available

We’re hiring multiple Data Scientists to join a fast-growing organisation working across product, commercial, and operational teams. This is a fantastic opportunity for someone early in their career who wants ownership, learning, and the chance to make a difference.

About the Role

As a Data Scientist, you’ll work end-to-end across data pipelines, modelling, and insights — helping the business make smarter decisions every day.

You’ll collaborate with product, engineering and senior stakeholders, with full support from an established data team. If you love solving problems, asking questions, and building useful things with data, this role is for you.

Key Responsibilities

✅ Build predictive and statistical models using Python

✅ Develop end-to-end data pipelines and automated workflows

✅ Analyse behavioural, financial or operational datasets

✅ Create dashboards and visualisations for key stakeholders

✅ Run experiments, evaluate models, and optimise performance

✅ Translate complex findings into simple, actionable insights

What We’re Looking For

Graduates up to 3 years’ experience in data science or analytics

Strong Python skills (pandas, numpy, scikit-learn)

️ Solid SQL for data extraction and manipulation

Experience with Tableau or Power BI is a bonus

Strong problem-solving and analytical thinking

Clear communication - able to explain insights simply

STEM degree (Data Science, Maths, Engineering, Physics, etc.)

Why Join Us?

️ Hybrid working in London

Fast progression, mentorship & career development

High-impact work across multiple teams

Collaborative, supportive data culture

️ Modern tech stack with room to innovate

A place where junior talent grows quickly

Perks & Benefits

Competitive salary (£40,000–£65,000)

Paid training & development opportunities

Flexible hybrid schedule

Generous annual leave

Health & wellbeing initiatives

This is an incredible opportunity to accelerate your career in data science - ideal for someone ambitious, curious and eager to learn.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.