Join Deloitte’s Talent Experience & Engagement, Advanced Analytics & AI team to help inform data-driven business and people decisions through analytics, artificial intelligence, and behavioral science. In this role, you will support analytical projects, develop scalable data solutions, and generate actionable workforce insights that help leaders make faster, better-informed talent decisions. This opportunity is suited for a professional with strong applied analytics experience, statistical modeling capability, and hands-on experience working with complex people and business data.
Work you'll do
As a Specialist Deputy Manager, AI and Data Solutions on the Talent Experience & Engagement, Advanced Analytics & AI team, you will be responsible for…
- Support the design and execution of analytical projects using behavioral science, statistical, and experimental design principles
- Integrate, transform, clean, and validate data from multiple systems to create data sets for analysis and reporting
- Develop insights from statistical and machine learning models across workforce, employee lifecycle, and survey research topics
- Conduct analytics and model development on Microsoft Azure platforms, including Azure Databricks and Apache Spark environments
- Implement scalable and automated processes to improve model production, research workflows, and business decision support
The team
The Talent Experience & Engagement, Advanced Analytics & AI team’s mission is to inform and enable data-driven business and people decisions by developing tools and uncovering insights leveraging behavioral and data science to address key leadership questions and challenges. We turn people data into strategic advantage — combining advanced technology and AI to build tools and generate insights that address people challenges so the firm can make smarter decisions, faster, and with greater impact.
Integral to achieving this mission are the Data Science colleagues who collaborate closely across Talent and the business to deliver data-driven insights on the workforce and develop data and AI applications for business automation.
We’re looking for a professional to work closely with other Data Science and People Analytics team members to support defined projects that enhance the firm’s performance, productivity, and profitability through its people by conceptualizing analytical projects, mining, collecting and analyzing data, and providing actionable recommendations to guide the firm’s talent strategy across a wide variety of Talent topics including acquisition & mobility, leader/manager development, engagement, inclusiveness, individual/team performance, development, and exit.
Location: Hyderabad
Shift Timings: 2 PM to 11 PM
Qualifications
Required:
- Master’s degree in Statistics, Applied Mathematics, Computer Science, or Data Science
- 7-9 years of overall experience, including 2-3 years of experience in statistics, analytics, and data mining
- Experience using Python or R for data manipulation and analysis with standard analytical libraries
- Experience writing Structured Query Language (SQL) queries to merge, filter, and transform data from relational databases
- Experience applying statistical methods, including hypothesis testing, confidence intervals, resampling procedures, and regression analysis
- Experience building, transforming, and validating large data sets from multiple data sources
- Experience applying artificial intelligence and data science techniques to analytics, modeling, or workflow automation use cases
Preferred:
- Experience conducting behavioral or social science research
- Experience working with Microsoft Azure cloud platforms, including Azure Databricks
- Experience using PySpark, SparkR, or Apache Spark for scalable analytics
- Experience applying machine learning, natural language processing, or predictive modeling techniques
- Experience using artificial intelligence or generative artificial intelligence tools, including large language models, to support analysis or workflow automation
- Experience in the professional services industry