Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Head of Data Science and Engineering

Jobleads
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Scientist - Home Insurance

Senior Data Scientist (Europe-based, remote)

Senior Manager - Data Science and Engineering Team

Data Scientist (AI & ML)

Assistant Professor in Applied Statistics or Actuarial Data Science (T&R)

Summary

Salary: Competitive Salary & Benefits
Grade: 4
Reporting Line: Data & Analytics Director
Contract Type: Permanent
Location: London
Closing Date: 27th June 2025


What to expect

As a Head of Data Science & Engineering as a senior member of the Data & Analytics team you will join us on our journey and undertake a valuable role responsible for the development and delivery of functional strategies, role always modelling the Post Office behaviours and demonstrating a Postmaster first mindset.

The job title will be responsible for leading the development, deployment, and optimisation of data science models and engineering pipelines to drive business transformation. Reporting to the Data & Analytics Director, this role provides strategic and technical leadership to a team of data scientists and data engineers, to facilitate high-quality and actionable insights by ensuring that data is available and reliable.

The role will also oversee workflow prioritisation, quality assurance, and the implementation of best practices in data science and engineering to enhance decision-making across the organisation. Additionally, the Head of Data Science & Engineering will play a key role in fostering innovation, ensuring data compliance, and aligning analytics initiatives with business goals. They will drive a culture of inclusion, continuous improvement, and high performance in the teams they lead, delivering and driving decision-making across the Business, Customers and Partners.

What we can do for you

Now, more than ever, we understand that attracting the right talent is pivotal in driving the positive change needed throughout our organisation. Beyond a competitive salary, we offer a comprehensive benefits package that includes:

  • 27.5 days annual leave that increases with tenure
  • Up to 18% on target bonus opportunity
  • Car allowance
  • Generous pension contribution
  • Life assurance
  • Income protection after 12 months service
  • Full support from our employee assistance programme and access to our employee benefits platform
  • Ever-evolving learning and development opportunities

Our commitment to embracing diversity extends beyond just words. We actively foster an inclusive workplace that values the unique perspectives and contributions from all colleagues. We hold the belief that Equity, Diversity, and Inclusion are not just vital but fundamental to our success and growth. Our priority lies in shaping a business that mirrors the diverse communities we reach, truly making Post Office 'Everybody's Business'. As an equal opportunity employer, we value and celebrate the differences among our people, ensuring that our practices reflect our dedication to inclusivity and equal representation for all.

What you'll need to succeed

  • Degree in Data Science or Computer Science and/or professional qualifications preferred
  • Demonstrable experience leading large teams: collaborating with senior leaders, to shape and deliver functional strategy to achieve business objectives.
  • Substantial experience convening multiple stakeholders and through successful relationships, leading key cross-functional projects to drive results across the organisation.
  • Experience in leading and driving change aligned to functional and business strategies.
  • Proven experience leading data science and data engineering teams in a complex organisation.
  • Strong expertise in machine learning, statistical modelling, and AI-driven solutions.
  • Extensive experience in building scalable data pipelines, ETL processes, and cloud-based architectures.
  • Hands-on experience with MLOps, DevOps, and continuous integration/deployment (CI/CD) practices.
  • Experience ensuring data privacy, security, and compliance in AI applications.
  • Strong record of stakeholder engagement, translating technical concepts into business value.
  • Demonstrated ability to balance technical leadership with strategic vision.
  • Strong experience with cloud platforms (AWS, Azure, GCP) for data and AI services.
  • Empowering senior manager who can speak with knowledge, authority, and confidence in their subject matter, guiding their team toward success.
  • An expert advisor with ability to apply advanced knowledge of Data & Analytics specialism as well as broad knowledge of related areas.
  • An understanding of data privacy laws, governance, risk, and budget management
  • Advanced influencing and communication skills; using a range of techniques to deliver messages effectively make an impact and drive a successful outcome.
  • Ability to maintain strong and influential relationships with senior stakeholders and leaders to build support for business plans.
  • Strong commercial business acumen and ability to make data-driven business decisions.
  • Demonstrates a strong commitment to upholding the values and principles of Post Office.
  • A track record of actively promoting equality, diversity, and inclusion within all areas of responsibility and in particularly in Data & Analytics function.
  • Expert proficiency in Python, R, SQL, and distributed computing frameworks (e.g., Spark, Hadoop).
  • Advanced knowledge of data engineering tools (e.g., Airflow, Kafka, Snowflake, Databricks).
  • Proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Ability to implement robust data governance and AI model explainability frameworks.
  • Commitment to ethical AI practices and responsible data usage.

About us

Post Office is an integral part of every community, upheld by the dedication and service of our postmasters. In a world that's constantly evolving, we recognise the importance of adapting and growing. As we navigate the shifting landscapes of a digital age, our commitment to evolving is stronger than ever; without losing the essence of personal touch that defines us. Our journey forward is one of reflection, learning, and positive change.

Whilst there is much work to be done, we're looking for people ready to think differently in tackling the challenges ahead - people who possess resilience and a deep sense of responsibility towards our postmasters and the communities they serve. This mission drives us, ensuring that we remain focused on our purpose and strategic intent. If you're inspired by the prospect of making a meaningful difference and contributing to a future where Post Office can stand as a model of renewed progress and integrity, we want to hear from you. Join us on our journey in making Post Office a business that belongs to and serves everyone, shaping a new future legacy.
#J-18808-Ljbffr

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.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.

Pre-Employment Checks for AI Jobs: DBS, References & Right-to-Work and more Explained

The artificial intelligence sector in the UK is experiencing unprecedented growth, with companies across industries seeking talented professionals to drive digital transformation. However, securing a position in this competitive field involves more than just demonstrating technical expertise. Pre-employment checks have become an integral part of the hiring process for AI jobs, ensuring organisations maintain security, compliance, and trust whilst building their teams. Whether you're a data scientist, machine learning engineer, AI researcher, or technology consultant, understanding the pre-employment screening process is crucial for navigating your career journey successfully. This comprehensive guide explores the various types of background checks you may encounter when applying for AI positions in the UK, from basic right-to-work verification to enhanced security clearance requirements.