Python Work, Jobs in Hamble Le Rice, Ham (with Salaries)

Data Scientist
University of Southampton —Southampton
- £36,636 - £44,746 a year
- Full-time
- Analysis skills
- Communication skills
11d
Retail Media Analyst(FTC)
B&Q —Eastleigh
- Up to £50,000 a year
- Part-time
- Hybrid work
- SQL
- Agile
- Annual leave
- Employee assistance programme
Software Engineer - Autonomy
Kraken Works Limited —Fareham
- Full-time
- Analysis skills
- Software development
- In-person
- Free parking
- Health & wellbeing programme
Quick apply
5d
Lead Software Engineer - Cloud/Java-Python/AI-ML
JPMorganChase —Bournemouth
- Full-time
- Master's degree
- AWS
- Machine learning
Junior Software Engineer
Kraken Works Limited —Fareham
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
- Free parking
- Health & wellbeing programme
Quick apply
5d
AI/ML Engineer
Roke —Romsey
- Full-time
- Research
- Mentoring
- Software development
5d
Software Engineer III - Cloud/Java-Python/AI-ML
JPMorganChase —Bournemouth
- Full-time
- Scripting
- Software development
- AI
4d
Supply Chain & Logistics Insights Analyst
B&Q —Eastleigh
- Up to £50,000 a year
- Part-time
- Hybrid work
- Analysis skills
- Continuous improvement
- Annual leave
- Employee assistance programme
ERP Developer
Medatech UK —Eastleigh
- From £30,000 a year
- Full-time
- ERP systems
- SQL
- JavaScript
- Sick pay
Quick apply
Software Engineer III - Backend Python
JPMorganChase —Bournemouth
- Full-time
- Software troubleshooting
- Agile
- AI
Software Engineer
Roke Manor Research Limited —Romsey
- DevOps
- Java
- JavaScript
Lead Data Analyst – Operational Excellence (FTC)
Quilter —Southampton
- Full-time
- Leadership
- Communication skills
Graduate R&D Engineer – System & Architecture
Microchip Technology —Whiteley
- Full-time
- Engineering
- Analysis skills
- Bachelor's degree
Logistics Data Analyst
B&Q —Eastleigh
- Up to £50,000 a year
- Part-time
- Hybrid work
- Analysis skills
- Continuous improvement
- Annual leave
- Employee assistance programme
Graduate Associate Communications Engineer
QinetiQ —Portsmouth
- £39,825 - £44,250 a year
- Full-time
- Computer Science
- Engineering
- Communication skills
- Employee discount
13d
Data Platform Engineer
Quilter —Southampton
- Full-time
- Azure
- Continuous improvement
2d
AI/ML Engineer
Roke Manor Research Limited —Romsey
- Research
- Mentoring
- Software development
5d
Backend Software Engineer
Roke —Romsey
- Full-time
Data Engineer
Roke —Romsey
- Full-time
- Java
- AWS
- Python
Developer Advocate, Product Management
MediaKind —Southampton
- Hybrid work
- Computer Science
- Marketing
- Engineering
Quick apply

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Data Scientist

University of Southampton -
Southampton

Apply Now

Job details

Full-time
£36,636 - £44,746 a year
11 days ago

Qualifications

Power BI
Data integration
Data quality analysis
Tableau
Scenario modelling
Power BI data visualisation
Statistical analysis
Analysis skills
Machine learning modelling
Predictive analytics
Data science
Data visualisation
Quantitative analysis
Communication skills

Full job description

Job Details

Section

Strategic Planning and Analytics

Location:

Highfield Campus

Salary

£36,636 to £44,746 Per annum

Full Time Permanent

Closing Date:

Wednesday 26 August 2026

Interview Date

To be confirmed

Reference

3477326JT

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.

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.

This is an opportunity to apply data science to work with direct strategic relevance. You will be part of Strategic Planning & Analytics, the University’s central data reporting, insight and analysis team, working in a collaborative analytical environment that brings together expertise in data science, advanced analytics, forecasting, market insight and business intelligence.

We are looking for someone who combines technical analytical capability with excellent judgement, curiosity and communication skills. You will be confident working with complex, incomplete or inconsistent datasets, assessing data quality and limitations, selecting appropriate methods, and translating quantitative analysis into clear insights, options and recommendations for decision-makers.

You will need to be comfortable working across organisational boundaries, collaborating with colleagues in professional services and faculties, and communicating technical findings clearly to non-specialist audiences. Experience of university rankings, league tables, reputation analysis, higher education data or bibliometrics would be valuable, but we are also interested in candidates who can bring strong data science and analytical experience from other relevant contexts.

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.

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.

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.

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 [email protected] quoting the job number. #divSocialMedia { padding:10px 0; overflow:hidden; } #divSocialMedia span { margin-right:5px; } #divSocialMedia div { display:inline-block; margin:10px 5px; } #divSocialMedia a { font-size:1.5rem; font-family:sans-serif; border:1px solid #888; border-radius:50%; padding:8px; } #divSocialMedia i { font-size:1.5rem; } #divSocialMedia a:focus { outline-offset:2px; }

Apply Now

Refine Your Search

python jobs in hamble le rice, ham

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