Manager, Data Science Insights and Analytics(AI/ML)

Manager, Data Science Insights and Analytics – Pune, MH, India

Are you ready to join a global organization that helps diverse teams stay at the forefront of technology and innovation? How about offering up your skills in a global business that is committed to moving money for better? Join Western Union as Manager, Data Science Insights and Analytics.

Western Union powers your pursuit.

We are looking for a seasoned Manager, Data Science Insights and Analytics, to lead critical Machine Learning and Analytics projects and design and deploy scalable AI/ML applications.
 

Key Responsibilities

• Lead ML and analytics projects from requirements gathering through technical design and delivery.
• Design and deploy scalable AI/ML applications with a strong focus on AWS environments.
• Manage a self-hosted data science platform, including user access controls, maintenance, and upgrades.
• Build and maintain ETL data pipelines across AWS ecosystems.
• Act as a bridge between business units, AI/ML teams, and external partners.
• Perform advanced data analysis across multiple concurrent projects.
• Provide technical solutions for AI, Data Science, and cloud architecture requirements.
• Collaborate closely with Data Engineers on end-to-end project components.
• Create documentation for platform processes and provide ongoing user support.
• Coordinate with IT for platform integrations, cloud infrastructure, and security alignment.

 Role Requirements

• Expertise in end-to-end ML solution development, from business hypothesis to production deployment.
• Strong proficiency in AWS architecture for model deployment, monitoring, and lifecycle management.
• Deep understanding of MLOps, CI/CD workflows, cloud services, and data warehousing concepts.
• Experience with ETL, data modeling, and BI tools (e.g., Tableau, Power BI).
• Advanced query-writing and data analysis skills for debugging and solution design.
• Hands-on experience managing self-hosted platforms.
• Familiarity with containerization, orchestration, and version control systems.
• Understanding of data governance, security best practices, and access control models.
• Experience with Linux/Unix administration and relevant networking concepts.
• Strong communication skills with the ability to guide or mentor junior team members.
• BS in Computer Science or related field.
• Practical experience applying ML/AI to real-world business problems.
• Overall 8+ Years of work experience which includes 4+ years of relevant experience building, training, and deploying ML models.
• Experience deploying models in AWS SageMaker or similar AI/ML platforms.
• Experience working with Snowflake.
• Strong data analysis and SQL skills across platforms (Snowflake, Amazon AWS, S3, Oracle, Talend ETL, etc.).
• Preference for hands-on experience with ETL tools such as Talend.
• 2+ years of experience managing ML or Data platforms.
• Demonstrated ability to troubleshoot complex platform and infrastructure issues.
• Experience with infrastructure-as-code and automation tools.

Preferred Qualifications

• Fintech industry domain knowledge.
• Hands-on experience with ETL tools — Talend, etc.
• Experience managing cloud-based infrastructure (AWS, Azure, or GCP).
• Certifications in relevant cloud or data science technologies.
• Knowledge of data science workflow optimization and best practices.
• Experience in training and onboarding users on data science platforms.
• Experience with Agentic AI workflows, including building autonomous or semi-autonomous AI agents.
• Familiarity with LangChain or comparable LLM orchestration frameworks.
• Hands-on experience building custom LLM applications and integrating them with enterprise systems.
• Understanding of retrieval‑augmented generation (RAG), vector databases, and LLM deployment architectures.

We make financial services accessible to humans everywhere. Join us for what’s next.

Western Union is positioned to become the world’s most accessible financial services company transforming lives and communities. To support this, we have launched a Digital Banking Service and Wallet across several European markets to enhance our customers’ experiences by offering a state-of-the-art digital Ecosystem. More than moving money, we design easy-to-use products and services for our digital and physical financial ecosystem that help our customers move forward.

Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You’ll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you’re ready to help drive the future of financial services, it’s time for the Western Union. Learn more about our purpose and people at https://careers.westernunion.com.

Benefits

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
(https://careers.westernunion.com/global-benefits/). Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits 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 Check up
• Hospitalization Insurance Coverage (Mediclaim)
• Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance
• Cab Facility
• Relocation Benefit

Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, solve problems together, and innovate. 

Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week.

We are passionate about diversity. 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.

#LI-MT, #LI-Hybrid

Estimated Job Posting End Date:

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.