Data Scientist

Northumberland Fire Group; Morpeth; On-site; GBP 48,000 - 64,000; Full time

Benefits offered by this job

Local Government Pension Scheme

Flexible leave up to 2 days per month

26 days annual leave plus holidays

Job summary

Northumberland County Council is seeking a Data Scientist to harness advanced analytics to improve population health outcomes and reduce inequalities. The role focuses on people experiencing multiple disadvantage and a Best Start in Life approach, examining how health, social, economic and environmental factors interact to identify unmet needs and target actions across the life course.

This post is a 2 year fixed term contract.

Qualifications

• Deliver data science work from initial problem definition through to modelling, evaluation and clear recommendations.
• Apply strong statistical and analytical skills to complex, sensitive and sometimes incomplete datasets.
• Has experience writing Python and SQL to prepare data, develop models and create reproducible analysis.
• Communicate complex findings, uncertainty and risk clearly to senior leaders, operational teams and other non-technical audiences.
• Work collaboratively across services and partner organisations, applying data ethics, privacy and governance throughout delivery.

Responsibilities

• Deliver data science work from initial problem definition through to modelling, evaluation and clear recommendations.
• Apply strong statistical and analytical skills to complex, sensitive and sometimes incomplete datasets.
• Communicate complex findings, uncertainty and risk clearly to senior leaders, operational teams and other non-technical audiences.
• Work collaboratively across services and partner organisations, applying data ethics, privacy and governance throughout delivery.

Skills

Python

SQL

Job description

We are seeking an innovative and skilled Data Scientist to harness advanced analytics to improve population health outcomes and reduce inequalities. With a particular focus on people experiencing multiple disadvantage and improving outcomes through a Best Start in Life approach, the role will explore the complex interactions between health, social, economic and environmental factors to identify unmet need, predict risk and support targeted action across the life course.The postholder will apply a range of advanced data science techniques, including predictive modelling, machine learning, population segmentation, risk stratification and geospatial analytics, to derive insights from complex linked datasets. They will use these methods to identify patterns of need, predict risk, understand inequalities and uncover opportunities for targeted intervention.The role will develop actionable intelligence to support a Communities First approach to Population Health Management, translating complex analysis into clear and meaningful insights for decision makers. This intelligence will inform strategic planning, strengthen prevention and early intervention, support more effective targeting of resources, and drive measurable improvements in outcomes for children, families and communities experiencing the greatest inequalities.

This post is a 2 year fixed term contract.

Requirements of the job

• Deliver data science work from initial problem definition through to modelling, evaluation and clear recommendations.
• Apply strong statistical and analytical skills to complex, sensitive and sometimes incomplete datasets.
• Has experience writing Python and SQL to prepare data, develop models and create reproducible analysis.
• Communicate complex findings, uncertainty and risk clearly to senior leaders, operational teams and other non-technical audiences.
• Work collaboratively across services and partner organisations, applying data ethics, privacy and governance throughout delivery.

Northumberland County Council’s (NCC) vision is ‘Land of Great Opportunities’, for current and future generations. We believe there is no better place to live and work.

For further information about working for NCC, please visit our website here.

Why choose us?

• 26 days annual leave plus public/bank holidays, rising to 31 days after 5 years of service (pro rata for part-time employees)
• Automatic enrolment into the Local Government Pension Scheme
• Flexi scheme (if applicable) – up to 2 days flexible leave available per month (pro rata for part-time employees)

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We are proud to be an equal opportunities employer. We operate a guaranteed interview scheme for disabled applicants who meet the essential criteria.