This range is provided by Intellect Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Intellect Group

Graduate Data Scientist – London (Hybrid)

Are you a Graduate Data Scientist ready to kickstart your career in data?

We’re looking for a curious and motivated Graduate Data Scientist to join our hybrid-working team in London. You’ll help us turn raw data into valuable insights, supporting smarter, evidence-based decisions across the business.

This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment.

In this role, you’ll:

• Analyse datasets to uncover patterns, trends, and actionable insights
• Apply statistical and machine learning techniques to solve business problems
• Assist in building and maintaining predictive models and analytical tools
• Collaborate with data engineers, analysts, and business stakeholders to deliver impactful solutions
• Communicate findings clearly through reports, visualisations, and presentations

What’s in it for you?

• Career Growth – Learn and develop your technical expertise with mentoring and training opportunities.
• Hands-On Experience – Gain practical exposure to real-world data challenges and modern tools.
• Impactful Work – See your analysis contribute to decision-making and business strategy.
• Supportive Team – Work alongside experienced data scientists and engineers who will help you grow.
• Hybrid Flexibility – Balance remote work with collaborative days at our London office.

What We’re Looking For:

• A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Familiarity with Python, R, or another programming language for data analysis
• Basic knowledge of machine learning concepts and statistical methods
• Strong analytical and problem-solving skills
• Good communication skills, with the ability to explain technical findings in simple terms

Nice to Have:

• Experience with SQL or databases
• Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn)
• Understanding of cloud platforms (AWS, GCP, or Azure)
• Previous internship or project work in data science or analytics

If you’re excited to grow your career in data science and make a real impact with your skills — we’d love to hear from you.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Science
• Industries
• Staffing and Recruiting

Location: London Area, United Kingdom