Graduate Data Scientist

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

Job summary

Une entreprise de stockage de données reconnue au Royaume-Uni recherche un Analyste en Science des Données ( diplômés 2024 ou 2025) avec un Master en Physique ou Mathématiques. Le poste, basé à Borehamwood, nécessite des compétences en SQL, R et Python pour réaliser des analyses statistiques et optimiser les stratégies commerciales. L'opportunité offre un environnement de travail hybride, adapté aux professionnels cherchant à développer leur carrière dans une entreprise dynamique.

Qualifications

• Master en sujet quantitatif (Physique ou Mathématiques) requis.
• Expérience avec SQL, R, Python et techniques de modélisation est un plus.
• Compréhension solide des statistiques et capacités de communication excellentes.

Responsibilities

• Analyser des données pour influencer les décisions commerciales.
• Développer des outils d'analyse interne et promouvoir les meilleures pratiques.
• Collaborer avec les départements pour optimiser les stratégies commerciales.

Skills

SQL

Statistiques

R

Python

Communication

Education

Master en Physique ou Mathématiques

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