Line of Service
Internal Firm Services
Industry/Sector
Technology
Specialism
IFS - Internal Firm Services - Other
Management Level
Senior Associate
Job Description & Summary
About the role
As part of PwC\'s strategy, we\'re investing significantly in skills, capabilities and technologies to address the breadth and complexity of the challenges that our clients face with their businesses and in society. One of our responses to this was establishing a digital delivery unit, a technology focused function working alongside other PwC teams.
The digital delivery unit is rapidly growing and the environment that our people work in is fuelled by ingenuity, collaboration and innovation. Our people are skilled and passionate about the work they do. As part of the team you\'ll experience an environment consisting of a wide range of technologies with ample room for you to learn, grow and innovate.
What your days will look like:
- Building technology assets is one of our top priorities in the digital delivery unit, and you will be part of our AI and Emerging Technology team.
- The team is customer focused and you\'ll solve data science problems in collaboration with other technical specialists in the team and our lines of service.
- Contribute to data science engagements with key clients and lines of business.
- Contribute to the delivery of core data science assets (such as our SaaS platforms) for ourselves and our clients.
- Collaborate with non-technical stakeholders to define project objectives, scope, and deliverables, in order to translate our data science capabilities into tangible value.
- Craft and manage project documentation, data analyses, presentations, and timelines, ensuring clear communication and understanding of findings and their commercial implications.
This role is for you if:
- Understanding of the following technologies extensively used within the team: Python for data science, SQL for data processing, Git for version control and Azure / GCP Cloud.
- Delivering significant and valuable advanced analytics projects and/or assets in industry and professional services.
- Engagement of technical and senior stakeholders, including visualisation of results and presenting to senior stakeholders.
- Experience with experiment design and measurement.
- Delivery of projects on time and in budget for high profile clients.
- Understanding of requirements for software engineering and data governance in data science.
Skills we\'d also like to hear about:
- Data Manipulation and Analysis.
- Data Visualisation.
- Machine Learning/Software Engineering.
- Model Deployment.
- LLM Validation.
What you\'ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including 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.
Education
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications
Required Skills
Optional Skills
Accepting Feedback, Active Listening, Analytical Thinking, Communication, Computer Engineering, Computer Program Installation, Computer Programming, Computer Technical Support, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Incident Management and Resolution (IMR), Inclusion, Information and Communications Technology (ICT), Intellectual Curiosity, IT Infrastructure Upgrades, IT Operations, IT Operations Management, IT Project Lifecycle, IT Support, IT Troubleshooting, Learning Agility {+ 11 more}
Desired Languages
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
Yes
Government Clearance Required?
No
Job Posting End Date #J-18808-Ljbffr
Data Scientist Consultant in London employer: PricewaterhouseCoopers
PricewaterhouseCoopers is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the UK Brand team. Employees benefit from extensive professional growth opportunities, competitive compensation, and a hybrid working model that promotes work-life balance, making it an ideal environment for those passionate about brand management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Consultant 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 PricewaterhouseCoopers!
✨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 Scientist Consultant at PricewaterhouseCoopers.
✨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 PricewaterhouseCoopers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist Consultant at PricewaterhouseCoopers, 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!
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 PricewaterhouseCoopers, 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 PricewaterhouseCoopers. 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 PricewaterhouseCoopers
✨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 PricewaterhouseCoopers!
✨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.
