Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Integrity Supervisor- RNAS Yeovilton

Serco
Yeovil
3 days ago
Create job alert
Data Integrity Supervisor - RNAS Yeovilton

Serco are recruiting for a Data Integrity Supervisor to join our AESAS teams at Royal Naval Air Station Yeovilton, Somerset. These roles will assure the integrity across the main forces (Commando Helicopter Force, Wildcat Maritime Force, Merlin Helicopter Force, 700X Force and the Survival equipment sections), ensuring accurate life data to sustain and improve system integrity under the direction of the Continuous Airworthiness Management Organisation (CAMO) Line Management.

Main Accountabilities

  • Investigate and interrogate engineering record details against the current and legacy Electronic Asset Management (EAM) system and all available data sources to establish the accuracy of life history back to birth.
  • For any Defence Integrity (DI) issues identified in life history: investigate and interrogate engineering records for the accuracy of modification and Technical Instruction (TI) history, configuration management, Me DT-granted concessions, and conduct process verification audits (PVAs) on electronic recording actions for Me DT issued Special Instruction (Technical) (SI(T)).
  • Ensure correct electronic recording action for Special Instructions (Technical) (SI(T)).
  • Act as liaison between Squadrons, HQ and DT for all DI matters identified above.
  • Conduct trending of the above DI and DE activity for CAMO Technical Data Exploitation (TDE).
  • In consultation with EDS, Squadron Engineering Management Teams and CAMO, raise Defence Aviation Safety Occurrence Reports (DASORs), Quality Occurrence Reports (QORs), MF760 Narrative Fault Reports, MF765 Unsatisfactory Feature Reports if any airworthiness or DI issues are identified during CAMO DI and DE activity.
  • Provide DI solutions and recovery advice for military platform DI issues and draft, staff and/or validate policy and procedures.
  • Maintain databases, email and MODNET files; ensure all filing and archiving of DI/Airworthiness documentation meets current retention regulations and policy.
  • Provide a point of contact function to provide DI/DE, custodian, and policy advice to squadron/unit Air Engineering Officer’s Writer (AEOW).
  • Provide a Quality Assurance function for all EDS output.
  • Assist the Quality Systems Manager/CAMO Quality System Coordinator in auditing squadron/unit AEOWs or Boundary Cells when requested.
  • Keep up to date with continuation training and competency checks required by current regulations, mid-level policy, CAME requirements and Station policy.
  • Where required by Customer Regulations and Procedures, employees are authorised to carry out contracted tasks.
  • Ensure best practice and assurance of regulatory compliance.

What You’ll Need To Do The Role

  • Able to achieve SC Clearance
  • Must have 8 years’ experience in a military/industry airworthiness environment equivalent.
  • Qualified to conduct Quality Assurance self-audits.
  • Suitably qualified to be authorised to MAM-P Authority Level E.
  • Completed a GOLDesp Supervisor and Aircraft Custodian levels as a minimum.
  • Completed a Maintenance Human Factors Course.
  • Understanding and proven experience of Airworthiness Engineering Safety and Compliance in accordance with regulatory and legislative requirements (MAA and MAOS), including CAMO.
  • Ability to work productively, efficiently and with initiative under tight timescales and pressure while maintaining operational outputs.

What We Offer

  • Pension: Up to 6% contributory pension scheme
  • Holidays: 28 days' annual leave plus bank holidays
  • Training and development: Wide range of learning opportunities with over 1,100 internal courses available, funding for qualifications and apprenticeships, mentoring opportunities, and focus on internal progression
  • Wellbeing: 24/7 Employee Assistance Programme, health and wellbeing support
  • Discounts: Save across around 1,000 retailers including healthcare and travel benefits
  • ShareSave scheme: Save regularly with option to buy Serco shares at a discount
  • Employee networks: Dedicated networks to connect, share challenges and opportunities
  • Charity: Payroll Giving Scheme to donate to preferred charities

For more about careers in Defence with Serco, please visit our careers page. We are a signatory of the UK Government’s Women in Defence Charter and part of the Disability Confident initiative. We encourage applications from diverse candidates and can discuss flexibility during the interview process. If you meet the minimum criteria for the job, you will be invited to interview.

Location: Yeovil, England, United Kingdom


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Integrity Supervisor- RNAS Yeovilton

Data Integrity Supervisor- RNAS Culdrose

Senior or Principal Statistician - UK (Remote/ Hybrid/ Office)

Senior or Principal Statistician - UK (Remote/ Hybrid/ Office)

Senior or Principal Statistician - UK (Remote/ Hybrid/ Office)

Senior or Principal Statistician - UK (Remote/ Hybrid/ Office)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.