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Cyber Security Academy Southampton

Data Scientist

Oxford
Posted about 19 hours ago
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Data Scientist - Strategic Planning & Analytics

The University of Southampton is seeking a Data Scientist to join Strategic Planning & Analytics and support work focused on strengthening Southampton’s reputation and performance in external rankings.

This new role will help the University build a richer, data-driven understanding of how reputation is formed, measured and influenced. Working within a dedicated team, you will develop evidence, models and tools that support more effective targeting, prioritisation, decision-making and impact measurement across the University.

Key Responsibilities

Your primary focus will be to develop predictive modelling of reputation drivers and outcomes, while also improving the University’s analytical tools, methods and use of data. You will bring together complex data from a range of internal and external sources, applying appropriate analytical and statistical methods to identify patterns, test assumptions, model potential outcomes and generate actionable insight.

You will work with datasets relating to university rankings, reputation indicators, peer and competitor performance, survey outcomes, research and education metrics, and other relevant external and internal sources. This may include data cleaning and transformation, exploratory data analysis, segmentation or clustering, predictive modelling, trend forecasting, scenario modelling, sensitivity analysis, benchmarking and interpretation of composite or weighted indicators.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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About You

You will bring:

  • Strong numeracy and experience of analysing complex data from multiple sources;
  • Knowledge of statistical modelling, predictive analytics, data science or machine learning methods;
  • Experience integrating, cleaning, validating and analysing complex datasets;
  • The ability to assess data quality, uncertainty, limitations and appropriate use;
  • Experience using tools such as Excel, Python, R, SQL, Alteryx or equivalent;
  • Experience translating quantitative analysis into clear insight, options and recommendations;
  • The ability to communicate technical findings clearly to non-specialist audiences;
  • Curiosity, creativity and rigour in using data to solve complex problems;
  • Awareness of data protection, data governance and ethical use of data.

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Experience of rankings, league tables, reputation surveys, higher education performance metrics, bibliometrics, external datasets such as QS, THE, REF, HESA, NSS, Graduate Outcomes, or data visualisation tools such as Power BI or Tableau would be an advantage.

Benefits

You will join a supportive and ambitious team within the world-leading, research-intensive University of Southampton, a founding member of the Russell Group and ranked in the top 1% of universities worldwide.

You will have the opportunity to apply data science to a high-profile strategic priority, develop expertise in reputation and rankings analytics, and contribute directly to evidence-based decision-making across the University.

How to Apply

We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.

Apply by 11.59 pm UK time on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.

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Further Details

Job Description and Person Specification

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Skills

Predictive Modelling
Statistical Analysis
Data Cleaning
Python
R
SQL
Alteryx
Data Visualization
Machine Learning
Trend Forecasting
Scenario Modelling
Sensitivity Analysis
Benchmarking
Data Governance
Communication Skills
Exploratory Data Analysis

Location

Oxford, England, United Kingdom

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