Risk Modeling Services- AI Data Scientist - Manager
Risk Modeling Services- AI Data Scientist - Manager
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Job Description
Industry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients providing advice and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.In actuarial services at PwC you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks.
Enhancing your leadership style you motivate develop and inspire others to deliver quality. You are responsible for coaching leveraging team members unique strengths and managing performance to deliver on client expectations. With your growing knowledge of how business works you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects ensuring their successful planning budgeting execution and completion.
- Partner with team leadership to ensure collective ownership of quality timelines and deliverables.
- Develop skills outside your comfort zone and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues engaging in difficult conversations with clients team members and other stakeholders escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.
Job Summary
As an AI Data Scientist on the Risk Modeling Services (RMS) team you will contribute to our growing expertise in developing validating and testing quantitative analytics and artificial intelligence models across sectors such as insurance financial markets and real estate. Youll collaborate with data scientists data engineers and computer scientists focused on AI generative AI and econometric/statistical modeling R&D all working to build advanced analytical techniques that help our clients optimize operations and achieve strategic goals.
The ideal candidate has experience building AI and econometric/statistical models as well as leading technical teams with STEM backgrounds. You take a first principles approach to problem-solving and foster academic rigor guiding junior team members toward clear concise and accurate solutions.
As a strategic advisor you use your expertise influence and network to deliver high-quality results. You motivate those around you collaborate effectively to solve complex problems and demonstrate sound judgmentknowing when to act independently and when to escalate. Youre expected to think critically communicate clearly and bring structure to complexity. Your commitment to building high-performing diverse and inclusive teams contributes meaningfully to the firms success.
Job Description
What does this role entail
Help contribute to the development of GenAI solutions including prompt engineering retrieval-augmented generation (RAG) fine-tuning AI agents and multi-agent systems (MAS).
Apply econometric modeling techniques such as generalized linear models (GLMs) time series analysis and semi-parametric models (e.g. fractional response models).
Utilize machine learning models including XGBoost random forests and support vector machines.
During the development validation and monitoring of models ensure compliance with model-related regulatory requirements and standards such as SR 11-7 Colorado SB21-169 NIST ISO 42001 and the NAIC Model Bulletin.
Experience with programming languages and environments such as Python R Databricks and React.
Enforce DevOps best practices including version control (Git) CI/CD test automation infrastructure as code system monitoring and cross-functional collaboration.
Design develop and deploy AI models in real-world client and business environments.
Monitor and research emerging AI trends fostering an agile forward-looking development environment.
Help manage project delivery and work with clients to process structured and unstructured data to improve business processes workflows and decision-making.
Support the documentation and technical analysis efforts for validators auditors and regulators; clearly communicate complex concepts to non-technical stakeholders.
Work with cross-functional teamsdata engineers architects and data scientiststo deliver efficient high-quality solutions aligned with client needs.
Mentor and manage associates and senior associates through coaching performance feedback and hands-on guidance.
Support business development efforts including the technical sales cycles and the client proposal process.
Support the development of internal GenAI assets and foundational capabilities to grow the firms practice.
Qualifications
Minimum Educational Qualifications:
A degree in statistics mathematics electrical engineering physics econometrics computer science or another related technical field.
Credentials - Good to have:
A masters degree or PhD in a related field from a premium institute is preferred but is not .
Min years of Experience Requirement (Credential) - 6 years
Travel Requirements
Job Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
