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- Tasks: Design and build machine learning models to tackle real-world challenges.
- Company: Join a fast-growing team at the forefront of data science and AI.
- Benefits: Enjoy a competitive salary, hybrid working, and career growth opportunities.
- Why this job: Make a meaningful impact while collaborating with experts in a supportive culture.
- Qualifications: Master’s degree in a relevant field and strong programming skills in Python required.
- Other info: Work with modern tech and enjoy additional perks like private healthcare.
The predicted salary is between 28000 - 36000 £ per year.
Location: London (Hybrid)
Salary: £35,000 – £45,000 + Bonus + Benefits
Start Date: ASAP
About the Opportunity:
We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries.
What You’ll Be Doing:
- Designing and building machine learning models to solve real-world problems
- Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment
- Applying statistical and AI techniques to generate actionable insights
- Contributing to experimental research, model prototyping, and A/B testing
- Presenting findings clearly to both technical and non-technical stakeholders
- Collaborating across data science, engineering, and product teams to build scalable solutions
- Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions
What We’re Looking For:
- A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline
- Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome
- A solid understanding of core machine learning concepts, data wrangling, and model evaluation
- Proficiency with SQL and experience handling large datasets
- A passion for solving complex problems using data and a continuous learning mindset
- Excellent communication and collaboration skills
- Full right to work in the UK (we are unable to offer visa sponsorship for this role)
Desirable (Not Essential):
- Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch)
- Exposure to cloud platforms (AWS, GCP, or Azure)
- Experience with experimental design, research methods, or academic publishing
- Understanding of MLOps, version control (Git), or containerisation (e.g. Docker)
Benefits:
- 💰 Competitive Salary & Bonus: £35,000 – £45,000 plus performance-based incentives
- 🏡 Hybrid Working: A flexible mix of office and remote work
- 📈 Career Growth: Structured professional development, mentorship, and training opportunities
- 🛠 Modern Tech Stack: Work with the latest tools in data science, AI, and analytics
- 🤝 Collaborative Culture: Be part of a supportive and innovative team
- ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives
How to Apply:
Please apply with your most up-to-date CV and we will be in touch ASAP to arrange an initial call.
Junior Data Scientist employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science and machine learning. Follow relevant blogs, podcasts, and online courses to stay updated, as this will not only enhance your knowledge but also show your enthusiasm during interviews.
✨Tip Number 2
Engage with the data science community on platforms like LinkedIn or GitHub. Share your projects, contribute to discussions, and connect with professionals in the field. This networking can lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to discuss your academic projects in detail, especially those involving machine learning and data analysis. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. Since you'll be presenting findings to both technical and non-technical stakeholders, being able to communicate effectively is crucial for success in this role.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Junior Data Scientist role. Emphasise your programming skills in Python, any projects involving machine learning, and your academic background in a related discipline.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your eagerness to solve real-world problems. Mention specific examples from your studies or projects that demonstrate your understanding of machine learning concepts and your ability to work collaboratively.
Highlight Relevant Projects: If you have completed any projects during your Master's degree that involved data wrangling, model evaluation, or using tools like SQL, be sure to include these in your application. This will show your practical experience and readiness for the role.
Showcase Continuous Learning: Mention any additional courses, certifications, or self-study you've undertaken to stay current with advancements in machine learning and AI. This demonstrates your commitment to professional growth and your proactive approach to learning.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and any experience you have with libraries like NumPy, pandas, and scikit-learn. You might be asked to solve a coding problem or explain how you've used these tools in past projects.
✨Demonstrate Your Problem-Solving Ability
Think of specific examples where you've tackled complex problems using data. Be ready to explain your thought process, the methods you used, and the outcomes of your work. This will show your potential employer that you can apply your academic knowledge to real-world challenges.
✨Communicate Clearly
Since you'll be presenting findings to both technical and non-technical stakeholders, practice explaining your projects in simple terms. Focus on how your insights can impact business decisions, as this will highlight your ability to bridge the gap between data science and practical application.
✨Stay Current with Industry Trends
Research recent advancements in machine learning and AI before your interview. Being able to discuss current trends or technologies shows your passion for continuous learning and your commitment to staying relevant in the field.
