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

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

08 Apr
|
Western Union
|
Pune Division

08 Apr

Western Union

Pune Division

JR0127928

nManager, Data Science Insights and Analytics – Pune, MH, Indian

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?

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Join Western

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Union as

nManager, Data Science Insights and Analytics.n

Western Union powers your pursuit.

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We are looking for a seasoned

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Manager, Data Science Insights and Analytics,

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to lead critical Machine Learning and Analytics projects and design and deploy scalable AI/ML applications.

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Key Responsibilities

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- 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.

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Role Requirements

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- 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.
- Robust 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.

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Preferred Qualifications

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- 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.

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

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.

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Just as we help our global customers prosper, we support our employees in achieving their professional aspira

📌 Manager, Data Science Insights and Analytics(AI/ML) (Pune Division)
🏢 Western Union
📍 Pune Division

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