At a Glance
- Tasks: Lead innovative data science projects and mentor a talented team.
- Company: Join Royal Mail, a leader in digital transformation and innovation.
- Benefits: Enjoy competitive salary, generous leave, healthcare, and a strong pension scheme.
- Other info: Collaborate with experts and shape the future of data science.
- Why this job: Make a real impact on data-driven decision-making across a large organisation.
- Qualifications: Proven experience in data science leadership and advanced analytics.
The predicted salary is between 66150 - 80850 £ per year.
- 25 days annual leave plus bank holidays rising with service
- Pension: access to the UK’s only Collective Defined Contribution scheme with industry-leading Royal Mail contributions of over 12%, flexible options to boost your savings, and a guaranteed retirement lump sum*
- Royal Mail Farringdon
- Permanent, Full time
- London Farringdon x3 days a week
- Salary & Benefits
- Competitive salary
Plus
- Car allowance
- Healthcare
- Up to 18% annual bonus potential
- 25 days annual leave plus bank holidays rising with service
- Pension: access to the UK’s only Collective Defined Contribution scheme with industry-leading Royal Mail contributions of over 12%, flexible options to boost your savings, and a guaranteed retirement lump sum*
- Data Science Manager
Royal Mail is undergoing one of the largest transformations in its history, using data, advanced analytics and artificial intelligence to improve customer experience, optimise operations and unlock new growth opportunities.
We're looking for a Lead Data Scientist to provide technical leadership across our Data Science capability, helping shape how machine learning, forecasting, optimisation and AI are applied across the business.
This is a highly influential role that combines hands‑on data science delivery with leadership and capability development.
You'll work with senior stakeholders across Royal Mail, leading complex analytical initiatives while mentoring Data Scientists and driving best practice across the function.
If you're passionate about solving large‑scale business challenges and developing high‑performing teams, this is an opportunity to make a significant impact
- What You'll Be Doing
- Leading the design and delivery of advanced Data Science, Machine Learning and AI solutions that support strategic and operational decision‑making.
- Providing technical leadership, coaching and mentoring to Data Scientists across the team.
- Driving the adoption of Data Science best practices, standards and modern ways of working.
- Working closely with Data Engineers, Machine Learning Engineers and Technology teams to develop scalable analytical solutions.
- Partnering with business stakeholders to identify opportunities and shape data‑driven approaches to complex challenges.
- Overseeing solution quality, methodology selection and delivery across the Data Science portfolio.
- Supporting recruitment, capability development and the continued growth of the Data Science function.
- Translating complex analytical outputs into practical business recommendations that create measurable value.
What We're Looking For
You’ll be an experienced Data Science leader with a track record of delivering impactful analytical solutions in a commercial environment.
You’ll bring
- Significant experience developing and delivering advanced analytics, machine learning and optimisation solutions.
- Strong expertise in statistical modelling, machine learning techniques and experimental design.
- Advanced Python and SQL skills.
- Experience leading complex Data Science initiatives from problem definition through to business adoption and value realisation.
- Previous experience coaching, mentoring or leading Data Scientists.
- Strong stakeholder management skills and the ability to influence both technical and non‑technical audiences.
- Experience working with large, complex datasets to generate actionable insights.
- Knowledge of cloud‑based analytics platforms and modern machine learning deployment practices.
- A passion for innovation, continuous improvement and developing data science capability.
Why Join Royal Mail?
- Lead high‑profile data and AI initiatives with organisation‑wide impact.
- Help shape the future direction of Data Science across Royal Mail.
- Work on challenging problems using modern machine learning and AI techniques.
- Collaborate with talented Data Scientists, Engineers and business leaders.
- Play a key role in building data‑driven decision‑making across a large, complex organisation.
- Be part of a business investing significantly in digital transformation and innovation.
If you're looking for an opportunity to combine technical leadership, people development and hands‑on data science in a role with genuine business impact, we'd love to hear from you
About You
Benefits & Rewards
- In addition to the salary and benefits outlined above, you'll also enjoy:
- Family friendly support - enhanced maternity pay, paternity leave, adoption leave and shared parental leave
- Supportive and generous company sick pay
- Funded Dental – As a manager you are eligible to a level of employer funded dental insurance**
- Health Assessment – As a manager you are eligible to an employer funded health assessment every 2 years**
- Benefits Account – With more than 800 retail offers to help you save on things like groceries, days out, holidays and your household bills as well as employer provided and voluntary benefits to suit your lifestyle.
- Your Wellbeing - you and your family have 24/7 access to a range of free services and tools, offering support for physical and mental wellbeing, financial guidance, and social support whenever you need it.
- Eligible for enrolment in NEST pension plan after 3 months service and CDC pension scheme after 12 months service
- Available only to permanent employees
- Next Steps
The next stage of the selection process will be a face to face/virtual interview.
Trust is the foundation of Royal Mail.
We aim to be transparent about the qualities we seek and what a career with us entails, building trust from the start of your journey with us.
Your interview is the first step, and we want you to shine.
We understand that candidates may not meet all the criteria for the role. If your experience is different, but you have relevant skills we’d love to hear from you.
Closing Date: 07/10/26. Please note, this advert may close early if the appropriate number of applications has been reached.
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Data Science Lead in London employer: Royal Mail
Royal Mail is an exceptional employer, offering a dynamic work environment at our Leeds Mail Centre, where you can be part of a significant technological transformation in the delivery services sector. With competitive salaries exceeding £55,000, generous leave entitlements, and a commitment to employee growth through continuous improvement projects, we foster a culture of collaboration and innovation. Join us to not only advance your career but also contribute to a company that values diversity and inclusion, ensuring every voice is heard and respected.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Lead in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Royal Mail!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Lead at Royal Mail.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Royal Mail.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Lead at Royal Mail, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Royal Mail, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Royal Mail. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Royal Mail
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Royal Mail!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
