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Data Science Engineer

UKG

Hybrid
Noida, UP, India
Full-time
Senior
Staff
5+ yrs
Salary not listedPosted 37m ago

Real job — pulled straight from UKG’s careers page · Verified September 4, 2026 · No reposts.

Job description

UKG is hiring a Data Science Engineer — a full-time, based in Noida, UP, India role. Apply directly on UKG's careers page below.

Data Science Engineer-III

Location: Noida,UP,India

Department: Software & Product Development

Work Location: onsite

 
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

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Frequently asked questions

What skills are required for Data Science Engineer at UKG?

The required skills for Data Science Engineer at UKG include: Python, Pandas, Scikit-learn, Spark, SQL, BigQuery, Git, AWS, GCP, Azure, MLOps, NLP, Deep Learning, LLM, Generative AI, RAG.

What is the seniority level for Data Science Engineer at UKG?

Data Science Engineer at UKG is a Senior / Staff level position.

How do I apply for Data Science Engineer at UKG?

You can view the full description and apply for Data Science Engineer at UKG on EchoJobs: https://echojobs.io/job/ukg-data-science-engineer-iii-v5gmd.