Graduate Data Scientist

JR United Kingdom; Exeter; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

A leading self-storage company is seeking a Data Science Analyst to join their team. This role involves statistical analysis and collaborative projects to drive business decisions. A Master’s degree in a quantitative subject is preferred, along with a strong understanding of statistics and data tools.

Qualifications

• Master’s degree in a quantitative subject, ideally Physics or Mathematics.
• Ability to articulate commercial questions and use statistics.
• Understanding of statistics, probability distributions, regression.

Responsibilities

• Perform statistical analysis and deliver insights for decision-making.
• Develop analytics tooling and promote best practices across the company.
• Partner with departments to deliver data-driven projects.

Skills

Statistical analysis

SQL

Python

R

Communication

Education

Master’s degree in Physics or Mathematics

Tools

Statistical software

Job description

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Data Science Analysts (Graduates 2024 or 2025) MSc in Physics or Maths preferred

Hybrid working – 3 days in Borehamwood- must have driving licence as offices are not accessible by public transport

Job Reference J12966

This client is unable to consider any visas including Post Graduate Work Visas unfortunately.

Safestore is the UK’s largest self-storage group, and part of the FTSE 250. We believe that engaged colleagues, who feel valued by our business, are the foundation of our customer-focused culture. We know our people as individuals, and show respect for each other, enabling everyone to have a voice so that they can bring their full, unique selves to work. We are exceptionally proud that, in 2021 we were awarded the prestigious 'Investors in People’ Platinum accreditation, placing us in the top 2% of accredited organisations in the UK and have maintained this accreditation ever since.

“Unrivalled opportunity for career development and to positively influence the business”

Key Accountabilities

• Partner with other support departments to discover and deliver projects that use data and statistics in identifying trends and optimisation to support decision making

• Perform statistical analysis on our customer base and formulate either pricing strategies or commercial strategies to optimise revenue.

• Deliver insights to drive business decisions and design algorithms that can be used to improve either our pricing or operational strategy.

• Develop an excellent understanding of relevant internal and external data sources.

• Work together with other departments and stakeholders to develop and promote best practices in analytics and experimentation across the company.

• Design and build internal self-service analytics and experimentation tooling.

Experience & skills required

• A Master’s degree in a quantitative subject, ideally Physics or Mathematics.

• An ability to articulate and interpret commercial-based questions, identifying and querying data (SQL) and using statistics to arrive at an answer.

• A sound understanding of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems.

• Experience using statistical software and programming using R, SQL, Python or similar in datasets.

• Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as well as to drive collaboration.

Preferred Requirements

• Experience in identifying opportunities for product or business improvements and measuring the success of those initiatives.

• Experience in applying modelling techniques e.g. time series forecasting, segmentation / clustering, anomaly detection.

If this great opportunity interests you, please make an application to our Recruitment Partner, Datatech Analytics