Data Scientist

weServed; Andover; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Generous holiday allowance

Pension with life assurance

Digital GP and Aviva DigiCare+

Employee shopping portal

Professional Fees paid

Job summary

Babcock is seeking a Data Scientist to join a defence transformation programme. The role is remote with fortnightly visits to the Andover site, full-time permanent contract, and involves applying AI, machine learning, forecasting and predictive analytics to asset management, maintenance optimisation and logistics.

You will work across engineering, maintenance, digital and operations, presenting insights to varied stakeholders.

Qualifications

• Experience using Python, SQL and data science tools to analyse large datasets and deliver actionable insights.
• Strong background in machine learning, predictive modelling, forecasting and statistical analysis.
• Experience developing and implementing data-driven solutions that improve operational or business performance.

Responsibilities

• Build predictive models to support maintenance optimisation and asset management decision-making.
• Develop machine learning and forecasting solutions that improve equipment availability and operational readiness.
• Transform complex operational and telematics data into actionable business insights.
• Collaborate with engineering, maintenance, digital and operational teams to solve business challenges through data science.
• Present analytical findings and recommendations to both technical and non-technical stakeholders.

Skills

Python

SQL

Data science tools

Education

Degree in Data Science, Computer Science, Operational Research, Mathematics, Statistics or related analytical discipline

Tools

Data Science Tools

Job description

Job Title: Data Scientist

Location: UK, Fully Remote + Travel to Andover, Hampshire

Compensation: Competitive Salary + Benefits

Role Type: Full time / Permanent

Role ID: SF76146

Use Artificial Intelligence and Advanced Analytics to Shape the Future of Defence

At Babcock, we’re working to create a safe and secure world, together. If you join us, you can play your part as a Data Scientist, working remotely with fortnightly visits to our Andover site.

The role

As a Data Scientist, you'll play a pivotal role in one of the UK's most ambitious defence transformation programme. This is not a traditional data science role focused solely on reporting and analysis. You'll apply artificial intelligence, machine learning, predictive analytics and forecasting techniques to solve complex real-world challenges across asset management, maintenance optimisation, logistics and operational readiness. Your work will directly influence strategic decisions, improve equipment availability and support the development of innovative solutions that strengthen national defence capabilities.

Day-to-day you'll be required to:

• Build predictive models to support maintenance optimisation and asset management decision-making.
• Develop machine learning and forecasting solutions that improve equipment availability and operational readiness.
• Transform complex operational and telematics data into actionable business insights.
• Collaborate with engineering, maintenance, digital and operational teams to solve business challenges through data science.
• Present analytical findings and recommendations to both technical and non-technical stakeholders.

The role is remote, with fortnightly visits to our Andover site. The role is contracted to 37 hours per week, Monday to Friday.

Essential experience of the Data Scientist:

• Experience using Python, SQL and data science tools to analyse large datasets and deliver actionable insights.
• Strong background in machine learning, predictive modelling, forecasting and statistical analysis.
• Experience developing and implementing data-driven solutions that improve operational or business performance.
• Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
• Experience working collaboratively within multidisciplinary teams, ideally in engineering, logistics, defence, industrial or asset-intensive environments.

Qualifications for the Data Scientist:

• Degree in Data Science, Computer Science, Operational Research, Mathematics, Statistics or a related analytical discipline.

Security Clearance

The successful candidate must be able to achieve and maintain Security Check (SC) security clearance for this role.

Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. Further details are available at United Kingdom Security Vetting: clearance levels - GOV.UK (www.gov.uk).

What we offer

• Generous holiday allowance
• Matched contribution pension scheme, with life assurance
• Access to a Digital GP, annual health check, and nutritional consultations through Aviva DigiCare+
• Employee shopping savings portal
• Payment of Professional Fees
• Reservists in the armed forces receive 10-days special paid leave
• Holiday Trading is a benefit that allows UK Babcock employees to buy additional leave or to sell up to one working week of annual leave from their annual entitlement. This Window opens February through to March annually.
• ‘Be Kind Day’ enables employees to take one working day's paid leave a year (or equivalent hours) to undertake volunteering work with their chosen organisation or registered charity

Babcock

We’re Babcock — a global FTSE 100 organisation with over 29,000 people working together to make a difference.

Here, you’ll be part of something bigger. From initial design to final decommissioning, your work will contribute to products and services that are essential to national security and public infrastructure. Together, we’re building a future that lasts — not just through the impact we make, but through meaningful careers that respect your work-life balance.

We call that lifetime engineering.

Join us and see how far we can go, together.

We are a disability confident committed employer. If you have a disability or need any reasonable adjustments during the application and selection stages, please email [e-mail] with the subject header ‘Reasonable adjustments requirement’. We’re committed to building an inclusive culture where everyone’s free to thrive. We are happy to talk about flexible working – please ask about alternative patterns of work at interview.

Closing date: 30/10/2026