Junior Data Scientist

ZipRecruiter; London; Hybrid; GBP 35,000 - 45,000; Full time

Job summary

A leading recruitment platform is looking for a Junior Data Scientist to join their innovative team in London. This role is ideal for recent Master's graduates who are eager to apply their skills in data science and machine learning. Responsibilities include designing machine learning models, performing data science workflows, and collaborating across teams. The position offers a competitive salary of £35,000 – £45,000 plus benefits and a flexible hybrid working model.

Benefits

Competitive Salary & Bonus

Hybrid Working

Career Growth

Modern Tech Stack

Collaborative Culture

Pension scheme

Private healthcare

Wellbeing initiatives

Qualifications

• Completed Master's degree in Data Science or related field.
• Strong programming skills in Python, including libraries.
• Solid understanding of machine learning and data wrangling.

Responsibilities

• Design and build machine learning models.
• Perform full data science workflows from data cleaning to deployment.
• Present findings to technical and non-technical stakeholders.

Skills

Programming skills in Python

Proficiency with SQL

Understanding of core machine learning concepts

Excellent communication skills

Education

Master’s degree from a Russell Group university

Tools

NumPy

pandas

scikit-learn

matplotlib

Job description

Job Description

Junior Data Scientist – Master’s Graduate Role

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 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.