Data Science Engineer-III

UKG; Dadri; Hybrid; INR 2,500,000 - 6,000,000; Full time

Job summary

UKG is seeking a Data Scientist III to design, develop and deploy advanced data science solutions within our workforce management domain. You will own projects from problem definition through production deployment, building scalable AI systems that drive measurable business impact.

The ideal candidate has deep ML expertise, strong Python/SQL skills, and hands-on experience with cloud ML infrastructure. The role is based in Noida with a hybrid schedule.

Qualifications

• MS or PhD in a quantitative field or equivalent industry experience.
• 5-7+ years in a software product environment, with at least 3 years hands-on Data Scientist experience.
• Strong Python (pandas, scikit-learn, PySpark) and SQL/BigQuery skills.

Responsibilities

• Apply rigorous statistical and ML techniques to analyze large workforce data to identify actionable product opportunities.
• Develop and deploy modern Data Science/AI solutions including generative AI apps and RAG systems.
• Establish evaluation frameworks to measure model quality and business impact.
• Lead end-to-end ML/AI pipelines in development and production environments.
• Own the full model lifecycle: validation, deployment, monitoring and iteration.
• Ensure AI systems are reliable, performant and maintainable in collaboration with engineering.

Skills

Python

SQL/BigQuery

ML/AI

NLP

LLMs

MLOps

Cloud platforms

Leadership

Education

MS or PhD in a quantitative field

Tools

Python

SQL/BigQuery

AWS

GCP

Azure

Job description

Why UKG

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do. We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

About The Team

At UKG, our AI Data Science team partners with our AI and domain product and engineering organizations to design and deliver production‑grade Data Science and AI capabilities embedded directly into our workforce management and human resource management solutions. We leverage large‑scale workforce data and apply advanced machine learning, analytics, and cutting‑edge AI techniques to build intelligent systems that power real customer outcomes.

The Role

As a Data Scientist III, you will design, develop and deliver innovative data science solutions spanning our UKG product domain. You will own projects from problem definition through production deployment to build scalable systems that drive measurable business impact. This senior IC role combines deep technical expertise with project leadership and mentorship to drive UKG’s AI innovation roadmap.

The ideal candidate will work from our Noida office three days a week.

Responsibilities

• Apply rigorous statistical and machine learning techniques to analyze billions of workforce management and HCM records and identify meaningful product and feature opportunities


• Develop and deploy modern Data Science/AI solutions including generative AI applications, RAG systems, and agentic workflow


• Establish evaluation frameworks to measure model quality and business impact


• Lead the research, design, and implementation of end‑to‑end ML/AI pipelines in development and production environments


• Own the full model lifecycle: validation, deployment, monitoring, and iteration


• Ensure reliability, performance, and maintainability of AI systems in partnership with engineering teams


• Write high‑quality, modular production code and design clean data/model pipelines


• Collaborate with engineering partners on CI/CD, observability, and scaling strategies


• Partner with Product Managers and domain experts to translate business requirements into scalable solutions


• Communicate model outcomes and insights effectively to technical and non‑technical stakeholders


• Mentor junior data scientists through code reviews, model reviews, and modeling best practices


• Proactively identify opportunities to improve team capabilities and development standards

Requirements

• Advanced degree (MS or PhD) in a quantitative field or equivalent industry experience


• 5-7+ years’ experience in a software product environment, with at least 3 years’ hands‑on experience as a Data Scientist. Proven experience in building, training, and deploying ML models in a production environment.


• Deep familiarity with Python (pandas, scikit‑learn, PySpark), SQL/BigQuery, and version control


• Hands‑on experience with cloud‑based ML infrastructure (AWS/GCP/Azure) and MLOps workflows


• Strong understanding of statistical modeling, experimentation, and evaluation frameworks


• Deep expertise in one or more ML domains such as NLP, deep learning, time‑series, or clustering


• Hands‑on experience building services and solving problems using LLMs and generative AI techniques preferred


• Ability to operate independently, think strategically, ensure execution and influence others


• Proven ability to effectively communicate with all levels of the organization

Company Overview

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world’s largest collection of workforce insights, and people‑first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [e-mail]