People Analytics Data Scientist

Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

HR Function

Management Level

Senior Associate

Job Description & Summary

A career in People Analytics & Insights – you will work closely with key stakeholders across leadership to develop clear and insightful analysis relating to people data, and be responsible for supporting the driving of people, commercial, and key business decision-making processes within the firm

PwC is a people-based business, and our people are our greatest asset. To help prepare us to be fit for the future in a constantly changing world, it is crucial that our business makes data-driven decisions. The People Analytics & Insights function is responsible for delivering insights and solutions to PwC leadership across a number of key people areas, including: employee performance, learning & development, retention, and engagement.

As the People Analytics Data Scientist (Senior Associate), you’ll support the function’s agenda to deliver data-driven people insights to inform business decisions and strategy imperatives. The successful candidate will have strong analytical skills, experience with data cleaning, statistical analyses,  and the ability to communicate complex data in a clear and concise manner. Responsibilities for this role include:

• Supporting people data-driven projects – inclusive of proof of concepts and enabling initiatives (e.g. data gathering, data joining, data governance)

• Researching, developing, and implementing new statistical learning models or other mathematical methodologies as needed for specific models or analysis

• Dive deep into complex datasets to identify trends, anomalies, and relationships

• Cross-validating models to ensure their generalisability

• Deriving insights from multiple complex datasets and interpreting findings to inform business and human capital decisions

• Visualising results and communicating ideas and actionable insights to senior team members and leadership

• Design, build, and maintain scalable and reliable data pipelines to support analytics and data integration needs across the organisation.

• Collaborate with other data scientists and analysts to operationalize data models and algorithms, making advanced analytics accessible to business users.

• Utilise Databricks, Azure, and other leading data processing frameworks and cloud platforms to enhance our data infrastructure.

• Advocate for best practices in data management, security, and privacy within the team and across the organisation

Preferred Skills

• Advanced degree in Data Science / Data Engineering, Statistics, Computer Science, or similar

• An understanding of machine learning concepts and its statistical & mathematical concepts, inclusive of predictive analysis

• A strong knowledge of database & big data management systems

• Experience in programming languages such as PySpark, Python, and SQL

• Proficiency in statistical analyses, machine learning data preparation and toolkits, such as scikit-learn, TensorFlow, and/or PyTorch

• Proficiency using cloud data data platforms, such as Azure, GCP, and Databricks

• Proficiency in the use of visualisation tools, such as Tableau and Power BI

• Demonstrable history of devising and/or overseeing data-centric projects

• Excellent verbal and written communication skills with the ability to explain complex data in a clear and concise manner

• Excellent analytical and problem solving skills

• Ability to relay complex data insights in layman’s terms, such that it can be used for business decisions

• Strong experience with Microsoft Office suite, particularly excel and designing presentations in powerpoint

• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork

• Compliance with prevailing ethical standards

• Familiarity with data modelling, ETL development, and data warehousing concepts.

• Excellent knowledge of databricks DLT and jobs.

Minimum Experience

• 2+ years of experience in data science, business intelligence or People Analytics

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

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date