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Graduate Data Science Analyst (2025/2026 MSc in Physics or Maths preferred)

Datatech Analyticsborehamwood, england🇬🇧United KingdomPosted 9 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to launch your data science career within a reputable FTSE 250 company, with a clear progression path and competitive starting salary of £35,000. You'll thrive here if you're a recent MSc graduate in Physics or Maths eager to apply your analytical skills to real-world business challenges and develop expertise in machine learning and data modeling. Apply now to gain invaluable experience and make a significant impact.

Quick Overview

Salary
£35k/yr
Work Type
Hybrid
Level
Entry Level

Job Description

Graduate Data Science Analyst (2025/2026 MSc in Physics, Maths or Statistics preferred)

Hybrid- 3 days per week in Borehamwood (Head Office) & Home Working

Salary circa - £35,000 DoE

Job ID- J13150


A full UK driving licence and access to a car is preferable, as their Borehamwood office is not easily accessible by public transport and attendance is required as part of their hybrid working model.

Join a FTSE 250 company, and kick-start your career in Data Science. This is an exciting opportunity to work on real commercial challenges, applying data, statistics and machine learning to influence business decisions, with a clear progression path to Data Scientist.


The role

You'll work with stakeholders across the business to:

• Analyse customer and commercial data to deliver actionable insights.

• Apply statistical techniques to optimise revenue and business performance.

• Query and analyse large datasets using SQL.

• Build analytical models and support machine learning initiatives.

• Develop self-service analytics tools and support experimentation.


About you

You'll have:

• Ideally a Master's degree in Data Science, Statistics, Mathematics, Computer Science or another quantitative subject.

• Experience using SQL and Python, R or similar.

• A solid understanding of statistics and machine learning.

• Strong analytical, problem-solving and communication skills.


Desirable experience includes forecasting, segmentation, clustering or anomaly detection.

Skills

SQL
Machine Learning
Python

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