Graduate Data Scientist

Kickstart Your Career in Data Science

Are you passionate about using data to solve real-world problems? Do you enjoy uncovering insights, building predictive models, and telling stories with numbers?

We are looking for a driven and curious Graduate Data Scientist to join our growing data science team. This is a fantastic opportunity to gain hands-on experience working on real data challenges, learning from experienced professionals, and contributing to impactful projects from day one.

Whether your background is in Data Science, Statistics, Mathematics, Computer Science, or a related field, if you have strong analytical skills and a passion for learning, we want to hear from you.

What You’ll Be Doing

As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on:

• Data Exploration & Analysis: Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends.
• Model Building: Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting, segmentation, recommendation).
• Business Insight Generation: Translate data findings into actionable insights that drive decision-making.
• Data Storytelling: Present results through visualisations, reports, and presentations to both technical and non-technical audiences.
• Collaboration: Work closely with data engineers, analysts, product teams, and stakeholders to align on project goals and outcomes.
• Learning & Development: Keep up with the latest tools, libraries, and techniques in data science and machine learning.

What We’re Looking For

Essential:

• A recent graduate (or soon-to-be) in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, or a similar field
• Strong analytical and problem-solving skills
• Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn)
• Basic understanding of statistics, data modelling, and machine learning techniques
• Experience working with data (e.g., through coursework, projects, or internships)
• Good communication skills and ability to explain complex concepts clearly

Nice to Have (But Not Required):

• Familiarity with data visualisation tools like Tableau, Power BI, or matplotlib/seaborn
• Experience with SQL and querying databases
• Exposure to cloud platforms (e.g., AWS, GCP, or Azure)
• Knowledge of version control systems (e.g., Git)
• Participation in data science competitions (e.g., Kaggle) or hackathons

What You’ll Gain

• Real-World Experience: Work on live data projects with real impact
• Mentorship & Training: Learn from experienced data scientists and analysts
• Career Development: Clear progression opportunities in data science, machine learning, or data engineering
• Learning Culture: Access to training, courses, and resources to continue your development
• Cross-Functional Exposure: Collaborate with teams across the business to broaden your skills and understanding

Excellent Company Benefits

• 25+ Days Annual Leave + bank holidays
• Hybrid / Flexible Working Options
• Annual Bonus Scheme
• Training & Certification Support – including courses and qualifications in data science and AI
• Private Medical Insurance & Mental Health Support
• Tech Budget – choose your own tools and equipment
• Matched Pension Contributions
• Cycle-to-Work Scheme & Travel Loans
• Employee Discounts & Perks Platform
• Hackathons, Learning Days & Regular Team Events

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