Senior, Data Scientist

Western Union; Maharashtra; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

EPF (Employees Provident Fund)

Gratuity

Annual Health Checkup

Mediclaim Insurance

Group Life Insurance

Group Personal Accident Insurance

Relocation Benefit

Job summary

Western Union in Pune, MH is seeking a Senior Data Scientist to apply advanced analytics and AI to Banking/FS challenges. Lead end-to-end ML projects, mentor juniors, and deliver GenAI solutions using AWS Bedrock with LLM insight.

Role requires 5+ years in data science, strong Python/AWS experience, and collaboration with Marketing, Operations, and Digital Banking to translate business problems into scalable ML solutions. Office-based with a minimum three days on-site weekly.

Qualifications

• 5+ years of data science experience in banking/financial services.
• Hands-on ML modeling, deployment and explainability.
• Experience with Python, AWS SageMaker, Dataiku.
• Ability to translate business challenges into data science problems.
• Mentor junior data scientists and ML engineers.

Responsibilities

• Lead end-to-end AI/ML initiatives from ideation to automation.
• Collaborate with Marketing, Operations, and Digital Banking.
• Deliver GenAI solutions using AWS Bedrock and LLMs.
• Mentor and guide junior team members; manage multiple initiatives.
• Own delivery of AI/ML projects with stakeholder handover.

Skills

Supervised learning

Unsupervised learning

NLP

Data mining

Model explainability

End-to-end ML deployment

GenAI with AWS Bedrock

Team mentorship

LLM models

Python

AWS SageMaker

Dataiku

Tools

Python

AWS SageMaker

Dataiku

Matillion

Talend

Bedrock

Job description

• Senior Data Science and AI professional with over 5+ years of experience applying advanced analytics, machine learning, and AI to solve complex business problems, primarily within the Banking and Financial Services domain.
• Strong expertise in supervised and unsupervised learning, classification, data and text mining, NLP, Decision Trees, Random Forests, model explainability, and end‑to‑end ML model deployment. Experienced in designing, building, and deploying scalable machine learning solutions using Python, AWS SageMaker, and Dataiku, ensuring alignment with business objectives.
• Works closely with cross‑functional teams across Marketing, Operations, and Digital Banking to translate business challenges into actionable data science problem statements and deliver AI/ML solutions for enterprise decisioning.
• Owns and drives AI/ML initiatives end to end, from ideation to automation and stakeholder handover. Proven ability to mentor junior data scientists, manage multiple initiatives, and deliver GenAI solutions using AWS Bedrock with strong understanding of modern LLM models.

JR0130355

Role Responsibilities

Senior, Data Scientist- Pune, MH

• Senior Data Science and AI professional with over 5+ years of experience applying advanced analytics, machine learning, and AI to solve complex business problems, primarily within the Banking and Financial Services domain.
• Strong expertise in supervised and unsupervised learning, classification, data and text mining, NLP, Decision Trees, Random Forests, model explainability, and end‑to‑end ML model deployment. Experienced in designing, building, and deploying scalable machine learning solutions using Python, AWS SageMaker, and Dataiku, ensuring alignment with business objectives.
• Works closely with cross‑functional teams across Marketing, Operations, and Digital Banking to translate business challenges into actionable data science problem statements and deliver AI/ML solutions for enterprise decisioning.
• Owns and drives AI/ML initiatives end to end, from ideation to automation and stakeholder handover. Proven ability to mentor junior data scientists, manage multiple initiatives, and deliver GenAI solutions using AWS Bedrock with strong understanding of modern LLM models.

Role Requirements

• Comes with a 5+ years of experience in applying in Data Science methods in solving business use cases preferably in Banking and Financial Services domain
• Extensive Experience in Machine Learning (supervised and unsupervised both ), Classification, Data/Text Mining, NLP, Decision Trees, Random Forest, , Model Explain ability ,ML model deployment
• Hands on expertise in building and deploying machine learning models using tools like Python, AWS Sagemaker, Dataiku
• Working Closely with various business units across Marketing, Operations, Digital Bank etc. to translate business challenges into a data science problem statement.
• Utilizes his expertise in Analytics, Machine Learning and AI to build solutions that leverage relevant data sources. Works with cross-functional teams to develop and implement the AI/ML solutions for frequent usage in decisioning.
• Capable of mentoring, guiding the junior Data Scientists and ML Engineers to build a collaborative environment fostering a positive culture
• Design, Build, Deploy , Measure AI/ML Solutions that align with the stakeholder expectations using the appropriate and most effective ML methods.
• Own and drives the delivery of all AI/ML projects. Takes ownership of technical projects from Ideation, requirements gathering to end automation.
• Partners with key business stakeholders through the projects and ensures smooth knowledge transfer for use of the end work product.
• Ability to Successfully engage in multiple initiatives simultaneously and able to meet the committed project delivery deadlines.
• Familiarity with building data pipelines in ETL tools like Matillion/Talend to support the AWS model deployments would be a plus.
• Having experience in building GenAI solutions for business usecases using AWS services like Bedrock with a good understanding of LLM models commonly used today is a must.

Work Shift

Western Union values in-person collaboration, problem solving, and ideation whenever possible. We believe this fosters common ways of working and supports how we execute initiatives for our customers. The expectation is to work from the office a minimum of three days a week.

Benefits

BENEFITS AND OTHER DETAILS

You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in‑class development platforms, to name a few. Please see the benefits below specific to your country. If applicable, additional role-specific benefits will be mentioned during your interview process or in an offer of employment.

Your India Specific Benefits Include

• Employees Provident Fund [EPF]
• Gratuity Payment
• Public holidays
• Annual Leave, Sick leave, Compensatory leave, and Maternity / Paternity leave
• Annual Health Checkup
• Hospitalization Insurance Coverage (Mediclaim)
• Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance
• Cab Facility
• Relocation Benefit

Other Details

As part of the application process, all applicants are required to take assessments. Western Union has partnered with a 3rd party provider to administer these tests. Applicants will need to provide their name and email address in order to process the assessments. If you have any questions, you may reach out to [e-mail].

We are passionate about honoring our employee's identity and fostering a feeling of belonging. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws.

Estimated Job Posting End Date

08-21-2026

This application window is a good‑faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.