PwC Actuarial Services Data Scientist Manager in Washington, District Of Columbia
Line of Service: Assurance
Time Type: Full time
Government Clearance Required: No
Available for Work Sponsorship: Yes
Travel Requirements: Up to 40%
A career in our Actuarial Life Services practice, within Actuarial Services, will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third party administrators. You’ll provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modelling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyse the impact that new regulation will have on an insurance company’s balance sheet or you could be revising businesses’ projections and making sure they have adequate reserves.Our team helps insurers address new financial reporting requirements by assessing the financial and business impacts of regulations, building implementation plans, and implementing relevant requirements, particularly across areas of financial reporting change.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Develop new skills outside of comfort zone.
Act to resolve issues which prevent the team working effectively.
Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
Analyse complex ideas or proposals and build a range of meaningful recommendations.
Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
Address sub-standard work or work that does not meet firm's/client's expectations.
Use data and insights to inform conclusions and support decision-making.
Develop a point of view on key global trends, and how they impact clients.
Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
Simplify complex messages, highlighting and summarising key points.
Uphold the firm's code of ethics and business conduct.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
Required Fields of Study :
Actuarial Science, Statistics, Mathematical Statistics, Applied Mathematics, Mathematics, Economics, Computer Engineering, Data Processing/Analytics/Science, Computer and Information Science, Computer Programming
Minimum Years of Experience :
Preferred Qualifications :
Preferred Knowledge/Skills :
Demonstrates extensive knowledge and understanding of the role of an actuary.
Demonstrates extensive abilities and/or a proven record of success in cloud computing including:
Proficiency in cloud architectures, server-less services, design patterns, and DevOps; and,
Proficiency designing, implementing, and testing cloud solutions.
Demonstrates extensive abilities and/or a proven record of success in Data Engineering including:
Working knowledge of cloud-based and on-premise ETL design patterns;
Designing, building, and deploying high quality data pipelines, ETL processes using a mix of on-premise or cloud native tools (e.g. SSIS, Infromatica, Azure Data Factory, Databricks, Snowpipe, etc.); and,
Conducting data quality analysis, error handling, and testing.
Demonstrates extensive abilities and/or a proven record of success in Data Analysis, including:
Applying SQL to perform analytics on large data sets through the use of analytic functions, set operators, CTEs and joins;
Designing and creating relational data models and database objects, including but not limited to tables, relationships, stored procedures and views; and,
Using visualization tools (e.g. Tableau, PowerBI, D3, etc.) to build impactful dashboards and reports using visualization industry-leading practices or industry-setting standards.
Demonstrates extensive abilities and/or a proven record of success in Software Development, including:
Applying OOP, procedural, and functional programming concepts;
Demonstrating advanced understanding of data types, structures and algorithm design.
Building web applications (e.g., Python, Node, C#, etc.); and,
Demonstrating working knowledge of DevOps environments (e.g., GitHub, Azure DevOps, etc.).
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.