📊 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 (internship, 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.