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UKG

Data Science Engineer-III

Noida, IndiaData SciencePosted Sep 3, 2026

Apply on company site View full job

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:

Advanced Modeling & AI Development

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

Production AI System Ownership

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

Engineering & Cross-Functional Collaboration

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

Mentorship & Technical Leadership

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 UKGCareers@ukg.com

About UKG

Size: 10,000+ employees
Industry: Technology

View company profile

Perks and Benefits

Health and Wellness
- Health Insurance
- Health Reimbursement Account (HRA)
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA with Employer Contribution
- HSA
- HSA with Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Virtual Fitness Classes
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Adoption Assistance Program
- Family Support Resources
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Volunteer Time Off
Financial and Retirement
- 401(k) With Company Matching
- Company Equity
- Performance Bonus
- Profit Sharing
Office Life and Perks
- Casual Dress
- Happy Hours
- Company Outings
- Holiday Events
Professional Development
- Tuition Reimbursement
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Internship Program