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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 additional perks like private healthcare.
- Why this job: Make a meaningful impact while collaborating with experts in a supportive culture.
- Qualifications: Must have a Masterâs degree in a relevant field and strong Python skills.
- Other info: This role is ideal for recent graduates eager to apply their knowledge.
The predicted salary is between 28000 - 36000 ÂŁ per year.
Base pay range
Junior Data Scientist â Masterâs Graduate Role
Location: London (Hybrid)
Start Date: ASAP
About the Opportunity:
We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fastâgrowing, forwardâthinking team working at the forefront of data science, machine learning, and applied AI.
This is an excellent opportunity for a recent Masterâs graduate eager to apply their academic expertise to solving realâworld challengesâwhether itâs predicting customer behaviour, optimising operations, or identifying patterns in complex datasets.
Youâll collaborate with experienced data scientists, machine learning engineers, and subjectâmatter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries.
What Youâll Be Doing:
- Designing and building machine learning models to solve realâworld 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 nonâtechnical 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 Weâre Looking For:
- A recently completed Masterâs 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, scikitâlearn, 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)
- 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)
đĄ Hybrid Working: A flexible mix of office and remote work
đ Career Growth: Structured professional development, mentorship, and training opportunities
đ Modern Tech Stack: Work with the latest tools in data science, AI, and analytics
đ¤ 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 upâtoâdate CV and we will be in touch ASAP to arrange an initial call.
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Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Junior Data Scientist
â¨Tip Number 1
Network with professionals in the data science field, especially those who work at StudySmarter or similar companies. Attend industry meetups, webinars, or conferences to make connections and learn more about the role.
â¨Tip Number 2
Showcase your projects on platforms like GitHub or personal websites. Highlight any machine learning models or data analysis projects you've completed during your Master's, as this will demonstrate your practical skills and passion for the field.
â¨Tip Number 3
Prepare to discuss your understanding of machine learning concepts and your experience with Python and SQL during interviews. Be ready to explain how you've applied these skills in real-world scenarios or academic projects.
â¨Tip Number 4
Stay updated on the latest trends in data science and AI. Being knowledgeable about recent advancements can help you engage in meaningful discussions during interviews and show your enthusiasm for continuous learning.
We think you need these skills to ace Junior Data Scientist
Some tips for your application đŤĄ
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 achievements.
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 projects or experiences that demonstrate your understanding of machine learning concepts and your ability to collaborate effectively.
Highlight Relevant Coursework: In your application, include any relevant coursework from your Masterâs degree that pertains to data science, machine learning, or statistics. This will help demonstrate your academic foundation and readiness for the role.
Showcase Communication Skills: Since the role involves presenting findings to both technical and non-technical stakeholders, provide examples in your application of how you've effectively communicated complex ideas in the past, whether through presentations, reports, or collaborative projects.
How to prepare for a job interview at Intellect Group
â¨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. Bring examples of projects or coursework where you've applied these skills, as this will demonstrate your practical knowledge.
â¨Understand the Role's Requirements
Familiarise yourself with the core responsibilities of a Junior Data Scientist. Be ready to explain how your academic background and any relevant experience align with tasks such as data cleaning, model building, and presenting findings to stakeholders.
â¨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex datasets or designing machine learning models, as this will highlight your analytical skills and creativity.
â¨Demonstrate Your Passion for Learning
Convey your enthusiasm for staying current with advancements in data science and AI. Share any recent articles, courses, or projects that showcase your commitment to continuous learning and how you plan to contribute new ideas to the team.
