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Job Description

Junior Data Scientist | London | Hybrid Working

Are you a Junior Data Scientist looking to kick-start your career by turning complex data into meaningful insights that influence real-world decisions?

We’re searching for a motivated and analytical Junior Data Scientist with early industry experience — whether through internships, placements, academic projects, or commercial exposure — to join our hybrid-working London team. You’ll play a key role in transforming raw data into actionable intelligence, contributing to predictive models, dashboards, and analytics that shape strategic direction across the organisation.

This is a fantastic opportunity to join a global data and analytics function, working alongside experienced data scientists, machine learning engineers, and domain experts who are pushing the boundaries of data-driven innovation.

In this role, you’ll:

Develop and evaluate predictive models using statistical, machine learning, and analytical techniques

Support the design and maintenance of data pipelines — from data collection and cleaning to feature engineering

Build visualisations, dashboards, and reports that turn data into clear business insights

Collaborate with cross-functional teams including analysts, engineers, and product owners to support data-led decision-making

Explore opportunities in forecasting, optimisation, NLP, and automation using tools like Python, SQL, and modern ML libraries

Contribute to best practices in data quality, documentation, reproducibility, and model governance

What’s in it for you?

Career Growth – Work under experienced mentors, gain hands-on project ownership, and grow your technical and analytical toolkit.

Innovation Culture – Join a collaborative environment where curiosity, experimentation, and continuous learning are valued.

Hybrid Flexibility – Split your time between remote work and an inspiring central London office with modern facilities.

Inclusive Environment – Be part of a diverse, supportive team that prioritises wellbeing and professional development.

Competitive Package – Performance-related bonus, private medical insurance, generous pension contributions, 30 days’ annual leave, and comprehensive wellbeing benefits.

What We’re Looking For:

Degree in Data Science, Computer Science, Mathematics, Statistics, or a related field

Some industry experience applying data analysis or machine learning (, placement, or project work)

Strong Python skills and exposure to analytics/ML frameworks such as pandas, NumPy, scikit-learn, or TensorFlow

Solid understanding of statistical methods, data wrangling, feature engineering, and model evaluation

Confidence working with SQL and large datasets

☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools like Git

Excellent communication, analytical thinking, and teamwork skills

If you’re passionate about uncovering insights, solving problems with data, and contributing to real-world outcomes — all while growing in a global, forward-thinking environment — we’d love to hear from you.

Apply now and take the first step toward shaping the future of data intelligence.

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.