Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to launch AI solutions that transform business value.
- Company: PwC, a market leader in Data & AI consulting.
- Benefits: Competitive salary, full-time role, and opportunities for growth.
- Why this job: Shape the future of AI in real business contexts and make a measurable impact.
- Qualifications: Experience in data science, programming, and a collaborative mindset.
- Other info: Work in a supportive environment with diverse teams and innovative projects.
The predicted salary is between 28000 - 28000 ÂŁ per year.
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 market-leading Data & AI services consultancy and are actively working with clients to design, develop and deliver AI‑powered products and data capabilities that achieve tangible outcomes and business value. We’re looking for self‑starting, progressive, and inquisitive individuals who want to shape the future of how AI is applied in real business contexts. You’ll join a collaborative and entrepreneurial team that combines deep technical expertise with sector knowledge and product thinking. We work in cross‑functional squads to design, build, and launch solutions that create measurable impact for our clients and strengthen PwC’s position as a leader in trusted, responsible AI.
Key Responsibilities
- Work as part of a cross‑functional product squad – including AI Engineers, Product Designers, Data Scientists, and Industry Sector Specialists – to launch and scale AI client solutions, from core data‑science products (e.g. pricing and forecasting) to Agentic AI.
- Design and advise on the data‑science approach for your product, balancing rigor, interpretability, and scalability, and ensuring models are reusable across multiple client contexts.
- Partner with sector and go‑to‑market teams and solution architects to identify client challenges, demonstrate product capabilities, gather feedback, and inform development priorities.
- Collaborate closely with engineers to productionise models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps practices.
- Work with the product owner to monitor model performance and user feedback, continually refining algorithms, enhancing feature design, and improving product outcomes over time.
- Embed responsible and explainable AI principles into development so outputs are trusted, transparent, and compliant with PwC’s standards.
Skills & Experience
- Demonstrable practical project experience (professional or academic) in applying analytics to solve business problems.
- Practical experience across the data‑science lifecycle – from feature engineering and model design to validation, deployment, and monitoring.
- Fluency in Python, SQL, or similar programming languages.
- Experience using deep‑learning 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.
- Strong data‑storytelling and visualisation skills, with the ability to explain complex data concepts clearly to technical and non‑technical audiences.
- Intellectual curiosity with a disciplined, hypothesis‑led approach to validating, challenging, and refining outputs.
- Commercial curiosity and a desire to understand how analytics drives business outcomes.
- Collaborative mindset and experience working in diverse cross‑functional teams.
Job Details
- Seniority level: Entry level
- Employment type: Full‑time
- Job function: Engineering and Information Technology
- Industries: Accounting
- Location: Reading, England, United Kingdom
- Salary: ÂŁ28,000.00 per year (fixed)
Data Scientist-Manager in Reading employer: PwC UK
Contact Detail:
PwC UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist-Manager in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those that highlight your experience with AI and cloud platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. Be ready to discuss your past projects and how you've applied analytics to solve real business problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for self-starting individuals who are eager to shape the future of AI. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Scientist-Manager in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your data science projects and any relevant AI experience to show us you’re the right fit for our team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI and how your background aligns with our mission. Share specific examples of your work that demonstrate your problem-solving skills and collaborative spirit.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any deep-learning frameworks you’ve used. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at PwC UK
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially around the lifecycle from feature engineering to model deployment. Be ready to discuss specific projects where you've applied analytics to solve real business problems, as this will show your practical experience.
✨Show Off Your Collaboration Skills
Since you'll be working in cross-functional teams, it's crucial to demonstrate your ability to collaborate effectively. Prepare examples of how you've worked with engineers, product designers, or other specialists to launch successful AI solutions.
✨Get Familiar with Cloud Platforms
PwC is looking for someone who can work with cloud environments like Azure, AWS, or GCP. Make sure you understand the basics of these platforms and be ready to discuss any relevant experience you have with MLOps and DevSecOps practices.
✨Communicate Clearly
You’ll need to explain complex data concepts to both technical and non-technical audiences. Practice your data storytelling skills and think of ways to simplify your explanations without losing the essence of your work. This will help you stand out during the interview.