Junior Data Scientist

Junior Data Scientist

Full-Time 28000 - 36000 £ / year (est.) No home office possible
Intellect Group

At a Glance

  • 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 Master’s 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 £ per year.

Base pay range

Direct message the job poster from Intellect Group

We’re looking for a Junior Data Scientist to join our growing team in London. This is an exciting opportunity for a bright, analytically minded graduate with a Master’s degree from a leading UK university to apply their technical skills to real-world data challenges.

You’ll work across the full data science lifecycle — from data wrangling and model development to delivering insights that shape strategic decisions.

What you’ll do

  • Collect, clean, and analyse large datasets from a variety of sources
  • Build and deploy statistical and machine learning models to solve complex business problems
  • Collaborate closely with data engineers and stakeholders to deliver high-impact insights
  • Develop data visualisations and dashboards to communicate findings effectively
  • Contribute to the automation and optimisation of analytical workflows

What we’re looking for

  • Master’s degree (or higher) Data Science, Computer Science, Mathematics, Statistics, Physics, or Economics
  • Strong academic background – ideally from a Redbrick or Russell Group university
  • Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL
  • Solid understanding of machine learning concepts and statistical analysis
  • Strong problem-solving and critical thinking skills
  • Excellent communication and presentation abilities

What’s on offer

  • Competitive salary and clear progression path
  • Hybrid working (2–3 days a week in our London office)
  • Continuous learning and mentoring from experienced data professionals
  • Access to cutting-edge data tools and infrastructure
  • Opportunity to make a visible impact from day one

If you’re a high-achieving Master’s graduate eager to launch your career in data science and work on meaningful, high-impact projects — we’d love to hear from you.

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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

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.

✨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.

✨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.

✨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

Strong programming skills in Python
Proficiency with SQL
Understanding of core machine learning concepts
Data wrangling and cleaning
Model evaluation techniques
Experience with data science workflows
Statistical analysis skills
Ability to generate actionable insights
Collaboration and teamwork skills
Excellent communication skills
Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch)
Exposure to cloud platforms (AWS, GCP, or Azure)
Understanding of MLOps and version control (Git)
Continuous learning mindset

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 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 Master’s 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

✨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.

✨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.

✨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.

✨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.

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