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Junior Data Scientist

Intellect Group

England

Hybrid

GBP 35,000 - 45,000

Full time

Yesterday
Be an early applicant

Job summary

A forward-thinking tech company in London is seeking a Junior Data Scientist to apply their academic expertise in real-world challenges. This hybrid role offers training and mentorship for recent Master's graduates, focusing on machine learning and data science projects. Applicants should have strong programming skills in Python and a passion for solving complex data problems. A competitive salary and benefits package is included.

Benefits

Pension scheme
Private healthcare
Wellbeing initiatives
Structured professional development

Qualifications

  • Recently completed Master's degree from a Russell Group university.
  • Strong programming skills in Python, R is a plus.
  • Solid understanding of machine learning concepts.

Responsibilities

  • Designing and building machine learning models.
  • Carrying out full data science workflows.
  • Presenting findings to stakeholders.

Skills

Programming in Python
Statistical analysis
SQL proficiency
Collaboration skills
Problem-solving

Education

Master's degree in Data Science or related field

Tools

NumPy
pandas
scikit-learn
matplotlib
Job description

Junior Data Scientist – Master’s Graduate Role

Location: London (Hybrid)

Salary: £35,000 – £40,000 + 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 bonus

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.

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