Data Scientist

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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.

• 📈 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

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  Career Development – Hands‑on experience, mentoring from senior data scientists, and clear progression opportunities
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  Learning Culture – A collaborative team that values curiosity, experimentation, and continuous improvement
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  Hybrid Working – A mix of remote work and time in a modern central London office
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  Inclusive Environment – A supportive, diverse workplace that prioritises wellbeing and growth
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  Competitive Package – £30,000–£40,000 salary, performance‑related bonus, pension contributions, and generous annual leave

• 🎓 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, Num Py, 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.

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Apply now and take your first step into a data-driven future.