Data Scientist-Senior Manager
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Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Organisation StrategyManagement Level
Senior ManagerJob Description & Summary
About the role:
PwCs 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 by industry analysts such as Gartner and IDC as a market-leading Data & AI services consultancy and are actively working with clients to designdevelopand deliver AI-powered products and data capabilities that achieve tangible outcomes and business value.
Werelooking for self-starting progressive and inquisitive individuals who want to shape the future of how AI is applied inreal a collaborative and entrepreneurial team that combines deep technicalexpertisewith 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 PwCs position as a leader in trusted responsible AI.
If you want to apply your skills to complex challenges help define new products and be part of an ambitious teamthatsre-imagining the role of AI in professional services this could be the role for you.
Key Responsibilities:
- Leadingcross-functional product squads- including AI Engineers Product Designers DataScientistsand Industry Sector Specialists - to launch and scale AI client solutionsfrom core data science products(e.g. pricing and forecasting) all the way through toAgentic AI
- Designing and advising on the data scienceand AIapproach for your product balancing rigour interpretability and scalability and ensuring models are reusable across multiple client contexts
- Partnering with sector and go-to-market teams and solution architects toidentifyclient challengesdemonstrateproduct capabilities gather feedback and inform development priorities
- Collaborating closely with engineers to productionise models on cloud platforms (Azure AWS or GCP) usingMLOpsandDevSecOpspractices
- Working with the Product owner tomonitoringmodel 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 PwCs standards
Skills and Experience:
- Demonstrable practical project experience (professional or academic) in using applied analytics to solve business problems including:
- Advanced 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 TensorFlowKerasPyTorch orMXNet;
- Familiarity with Agile andDevSecOpspractices including use of Git for version control;
- Exposure to cloud environments (AzureAWSor GCP) and a desire to build solutions that scale;
- The ability to explain complex data concepts clearly to technical and non-technical audiences with strong data storytelling and visualisation skills;
- Intellectual curiosity with a disciplined hypothesis-led approach - validating challenging and refining your outputs to ensure analytical rigour and business relevance
- Commercial curiosity and the desire to understand how analytics drives business outcomes;
- Proven experience managing andleading delivery ofdiverse cross-functional teams that have a blend of onshore and offshore resourcesquality controlling the outputs andproviding coaching and mentoring of the team members
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening AI Implementation Analytical Thinking C Programming Language Coaching and Feedback Communication Complex Data Analysis Creativity Data Analysis Data Infrastructure Data Integration Data Modeling Data Pipeline Data Quality Deep Learning Embracing Change Emotional Regulation Empathy GPU Programming Inclusion Influence Intellectual Curiosity Java (Programming Language) 33 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Up to 60%Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior Manager
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more
