📊 Junior Data Scientist | £30,000–£40,000 | London | Hybrid Working
🚀 Are you a Junior Data Scientist looking to kick-start your career by turning data into insights that genuinely make an impact?
We’re looking for a curious, driven Junior Data Scientist to join our London-based team, working in a flexible hybrid environment. This role is ideal for someone early in their career who’s eager to apply their technical skills to real-world business problems and learn from experienced data professionals.
You’ll be part of a collaborative data and analytics function, contributing to projects that span predictive modelling, analytics, and insight generation - all while developing your skills in a supportive, growth-focused environment.
🔍 In this role, you’ll:
📈 Assist in developing and evaluating predictive and analytical models using statistical and machine learning techniques
🛠 Support data pipelines, including data collection, cleaning, and feature engineering
📊 Create dashboards, visualisations, and reports that translate data into clear, actionable insights
🤝 Work closely with analysts, engineers, and stakeholders to support data-driven decision-making
🔍 Explore areas such as forecasting, optimisation, automation, or NLP using Python, SQL, and modern ML libraries
📐 Contribute to best practices around data quality, documentation, and reproducibility
🌟 What’s in it for you?
📈 Career Development – Hands-on experience, mentoring from senior data scientists, and clear progression opportunities
💡 Learning Culture – A collaborative team that values curiosity, experimentation, and continuous improvement
🏢 Hybrid Working – A mix of remote work and time in a modern central London office
🌍 Inclusive Environment – A supportive, diverse workplace that prioritises wellbeing and growth
💰 Competitive Package – £30,000–£40,000 salary, performance-related bonus, pension contributions, and generous annual leave
✅ What we’re looking for:
🎓 A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
💼 Some hands-on experience with data analysis or machine learning (internships, placements, academic or commercial projects)
🐍 Strong Python fundamentals and exposure to libraries such as pandas, NumPy, and scikit-learn
🧮 A solid understanding of statistics, data wrangling, and model evaluation
🗄 Confidence working with SQL and structured datasets
☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools like Git
💬 Strong communication skills and a collaborative mindset
If you’re excited about building a career in data science, learning from experienced professionals, and working on meaningful problems - we’d love to hear from you.
👉 Apply now and take your first step into a data-driven future.
