Data Science Lead

Syngenta; Pune District; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A leading agricultural firm in Pune is seeking a skilled analytics leader to drive data science initiatives in workforce planning and talent management. You will manage a team, oversee advanced analytical model development, and collaborate with various HR and business leaders to promote evidence-based decision-making. Strong experience in data science techniques and HR analytics is essential for this role.

Qualifications

• Experience in leading analytics initiatives in HR contexts.
• Strong knowledge of data science techniques, including NLP and time-series forecasting.

Responsibilities

• Lead the design and deployment of analytical models.
• Manage and mentor a team of data scientists.
• Collaborate with various teams to ensure data quality.

Job description

• Lead the design, development, and deployment of advanced analytical models to support workforce planning, talent management, diversity & inclusion, employee engagement, retention, and performance.
• Manage and mentor a team of data scientists and analysts, providing technical guidance, thought leadership, and coaching.
• Define and drive the People Analytics data science roadmap aligned with business and HR priorities.
• Apply techniques such as clustering, classification, regression, time-series forecasting, and natural language processing (NLP) to extract insights from structured and unstructured employee data.
• Collaborate closely with HR, Talent, DEI, and Business Leaders to identify key workforce questions and transform them into analytical use cases.
• Work in partnership with HRIS, IT, and Data Engineering teams to ensure high data quality, model integration, and scalable solutions.
• Present insights, visualizations, and strategic recommendations to senior leadership in a compelling and accessible manner.
• Promote ethical use of employee data, ensuring privacy, fairness, and transparency in all analytics solutions.
• Stay abreast of latest research and trends in people analytics, organizational behavior, and applied data science.