Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to develop AI products that transform client value.
- Company: Join PwC UK, a market leader in data and AI consulting.
- Benefits: Flexible working, private medical cover, and volunteering days.
- Why this job: Make a real impact with cutting-edge AI solutions and diverse teams.
- Qualifications: Experience in data science, Python, and cloud environments required.
- Other info: Great career growth opportunities in a dynamic, collaborative environment.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Data Scientist-Manager role at PwC UK.
About The Role
PwC's Data & AI Consulting team is rapidly expanding as we invest in building a new generation of Artificial Intelligence (AI) products that transform how we deliver value to our clients. We're recognised by industry analysts, such as Gartner and IDC, as a marketâleading data & AI services consultancy and are actively working with clients to design, develop and deliver AIâpowered products and data capabilities that achieve tangible outcomes and business value.
What Your Days Will Look Like
- Working as part of a crossâfunctional product squad â including AI Engineers, Product Designers, Data Scientists and Industry Sector Specialists â to launch and scale AI client solutions, from core dataâscience products (e.g., pricing and forecasting) all the way through to agentic AI.
- Designing and advising on the dataâscience approach for your product, balancing rigor, interpretability and scalability, and ensuring models are reusable across multiple client contexts.
- Partnering with sector and goâtoâmarket teams and solution architects to identify client challenges, demonstrate product capabilities, gather feedback and inform development priorities.
- Collaborating closely with engineers to productionise models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps practices.
- Working with the product owner to monitor model performance and user feedback to continuously refine algorithms, enhance feature design and improve product outcomes over time.
- Embedding responsible and explainable AI principles into development to ensure outputs are trusted, transparent and compliant with PwC's standards.
This Role Is For You If
- Practical experience across the dataâscience lifecycle â from feature engineering and model design to validation, deployment and monitoring.
- Fluency in Python, SQL or similar programming languages.
- Experience using deepâlearning frameworks such as TensorFlow, Keras, PyTorch or MXNet.
- Familiarity with Agile and DevSecOps practices, including use of Git for version control.
- Exposure to cloud environments (Azure, AWS or GCP) and a desire to build solutions that scale.
- The ability to explain complex data concepts clearly to technical and nonâtechnical audiences, with strong data storytelling and visualisation skills.
- Intellectual curiosity with a disciplined, hypothesisâled approach â validating, challenging and refining outputs to ensure analytical rigor and business relevance.
- Commercial curiosity and the desire to understand how analytics drives business outcomes.
- A collaborative mindset â you enjoy working in diverse, crossâfunctional teams that have a blend of onshore and offshore resources.
What You'll Receive From Us
We offer a range of benefits designed to add value and support, recognising and rewarding you fairly for your contributions. The benefits include empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Data Scientist-Manager in London employer: PwC UK
Contact Detail:
PwC UK Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist-Manager in London
â¨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at PwC. Building relationships can open doors that a CV just can't.
â¨Show Off Your Skills
Donât just talk about your experience; showcase it! Create a portfolio of your projects or contributions to open-source work. This gives potential employers a tangible sense of what you can do, especially in data science.
â¨Ace the Interview
Prepare for those interviews by practising common data science questions and scenarios. Think about how you can explain complex concepts simply, as you'll need to communicate effectively with both technical and non-technical folks.
â¨Apply Through Our Website
Make sure to apply directly through our website! Itâs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist-Manager in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Data Scientist-Manager role. Highlight relevant experience, especially in data science and AI, and donât forget to showcase your programming skills in Python or SQL!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre passionate about AI and how your experience aligns with PwC's goals. Keep it engaging and personal â we want to see your personality!
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's a personal project or something from work, demonstrating your hands-on experience can really set you apart.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre serious about joining our team at PwC!
How to prepare for a job interview at PwC UK
â¨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with the entire data science lifecycle, from feature engineering to model deployment. PwC is looking for someone who can demonstrate practical knowledge and articulate complex concepts clearly.
â¨Show Off Your Programming Skills
Fluency in Python and SQL is a must, so be prepared to showcase your coding skills. You might be asked to solve a problem on the spot or explain how you've used these languages in past projects. Practice coding challenges beforehand to boost your confidence!
â¨Understand AI and Cloud Platforms
Familiarise yourself with cloud environments like Azure, AWS, or GCP, as well as deep-learning frameworks such as TensorFlow or PyTorch. Be ready to discuss how you've used these tools in your work and how they can be applied to real-world problems.
â¨Emphasise Collaboration and Communication
PwC values a collaborative mindset, so highlight your experience working in cross-functional teams. Prepare examples of how you've communicated complex data concepts to both technical and non-technical audiences, showcasing your data storytelling skills.
