Defence Data Scientist — Remote/Hybrid AI & Forecasting

Babcock International; Andover; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Pension with life assurance

Digital GP & health check

Employee shopping portal

Professional fees paid

Reservist leave

Holiday trading

Be Kind Day

Job summary

Babcock in the UK is seeking a Data Scientist to join our defence transformation programme. You will work remotely with fortnightly visits to Andover, applying AI, machine learning, forecasting and predictive analytics to real-world challenges across asset management, maintenance, logistics and operations.

You’ll transform complex data into actionable insights, build predictive models, collaborate with cross-functional engineering and maintenance teams and present findings to both technical and

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 analysis

Machine learning

Forecasting

Communication

Teamwork

Education

Degree in Data Science / Computer Science / Operational Research / Mathematics / Statistics

Tools

Pandas

scikit-learn

TensorFlow

Job description

Babcock in the UK is seeking a Data Scientist to join our defence transformation programme. You will work remotely with fortnightly visits to Andover, applying AI, machine learning, forecasting and predictive analytics to real-world challenges across asset management, maintenance, logistics and operations.

You’ll transform complex data into actionable insights, build predictive models, collaborate with cross-functional engineering and maintenance teams and present findings to both technical and