JOB DESCRIPTION / ROLE
Line of Service
Internal Firm Services
Industry/Sector
Not Applicable
Specialism
IFS - Human Capital (HC)
Management Level
Manager
Job Description & Summary
A career in People Analytics & Insights - you will work closely with key stakeholders across leadership to deploy advanced data science and statistical techniques to people data, and provide stakeholders with actionable, data-driven insights.
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 (Manager), you'll lead and develop a team of data scientists with a focus on operationalising analytics and applying advanced data science to business applications, and in turn to develop data-driven people insights to inform business decisions and strategy imperatives. You will ensure ethical data practices and compliance throughout, and remain up-to-date with the latest in people analytics to continually enhance team capabilities and innovation.
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
- Spearhead the development and implementation of scalable data science solutions that can be easily adopted by business users, ensuring they have the tools and knowledge to apply advanced analytics in their roles.
- Design user-friendly analytics platforms and dashboards that integrate advanced statistical models, making it straightforward for non-technical users to extract insights and make data-driven decisions.
- Educate and train business users on the value of data science and advanced analytics, increasing organisational literacy and fostering a data-driven culture.
REQUIREMENTS
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
- Knowledge of MLOps principles and practices to streamline and automate the machine learning lifecycle, from data preparation and model training to deployment and monitoring. Experience in setting up robust, scalable ML pipelines that facilitate continuous integration, continuous delivery (CI/CD), and model versioning, ensuring models are efficiently updated and maintained in production environments.
- Familiarity with AutoML tools and platforms that automate the process of applying machine learning to real-world problems. Ability to leverage AutoML to accelerate model development, optimise performance, and make advanced analytics more accessible to non-experts.
- Understanding of how to use AutoML to empower business users to develop predictive models and insights without deep technical expertise in data science.
- 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
Additional Job Description - Minimum Experience
- 6+ years of experience in data science, business intelligence or People Analytics
ABOUT THE COMPANY
At PwC Middle East, we've set out an ambitious purpose and strive to live it everyday: to solve important problems and build trust in society.
We're a community of solvers that come together in unexpected ways to build trust and create sustained outcomes. We solve important problems, support one another as we grow, develop and build fulfilling careers.
PwC provides industry-focused services for public and private clients across Assurance and Audit, Deals, Consulting, Tax and Legal. We draw on our development legacy that brings together the collective experience of over 7,000 people in our region with offices across 12 countries to solve for tomorrow.
We're striving to consistently deliver innovative work that builds trust and delivers sustained outcomes. And we're proud of the strength that comes from all our different backgrounds and experiences and we value everyone's uniqueness. We thrive in uncertainty, operate with integrity and leverage the diverse perspectives of our teams.
If you're looking for a place that fuels your ambition to make a difference, that matches your curiosity with continuous learning opportunities and reimagines ways of working to enable you to lead a more balanced life, then you're a future PwCer.
