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- Tasks: Transform complex data into actionable insights and predictive models.
- Company: Join a global data and analytics team in London.
- Benefits: Enjoy hybrid work, competitive salary, and 30 days' annual leave.
- Why this job: Kick-start your career with hands-on projects and mentorship from experts.
- Qualifications: Degree in relevant field and some industry experience in data analysis.
- Other info: Collaborative culture that values innovation and continuous learning.
The predicted salary is between 28800 - 48000 ÂŁ per year.
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.
Data Scientist employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. Don’t be shy; ask for informational interviews to learn more about their experiences and get insider tips on landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive models or data visualisations. This is your chance to demonstrate your analytical prowess and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and practical tests. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you approach problems and collaborate with others!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to our innovative culture.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight any relevant projects or internships where you've used Python, SQL, or machine learning techniques. We want to see how you can turn data into insights!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at StudySmarter. Keep it concise but engaging — we love a good story!
Showcase Your Projects: If you've worked on any data-related projects, whether academic or personal, make sure to mention them. Include links to your GitHub or any dashboards you've created. We’re keen to see your hands-on experience and creativity in action!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our amazing team. Don’t miss out on this opportunity!
How to prepare for a job interview at Intellect Group
✨Know Your Data Tools
Make sure you brush up on your Python skills and get familiar with libraries like pandas and scikit-learn. Be ready to discuss how you've used these tools in past projects or internships, as this will show your practical experience and understanding of data manipulation.
✨Showcase Your Analytical Mindset
Prepare to talk about specific examples where you've turned complex data into actionable insights. Think about a project where you had to analyse data, build a model, or create a dashboard. This will demonstrate your analytical thinking and problem-solving skills.
✨Understand the Business Impact
Research the company and think about how data-driven decisions can influence their strategic direction. Be ready to discuss how your work as a data scientist can contribute to real-world outcomes, showing that you understand the bigger picture beyond just the numbers.
✨Practice Collaboration Scenarios
Since you'll be working with cross-functional teams, prepare for questions about teamwork. Think of times when you collaborated with others on a project, how you communicated your findings, and how you handled any challenges. This will highlight your communication skills and ability to work well in a team.
