Senior Data Scientist – Pune, India

Would you like work on a massively global scale with a FinTech company that is poised to revolutionize the industry? Are you interested in joining a globally diverse organization where our unique contributions are recognized and celebrated, allowing each of us to thrive? Then it’s time to join Western Union as a Senior Data Scientist in the AIML Platform Team.

Western Union powers your pursuit.

In this role, you will be responsible for solving complex problems creatively while adhering to the most advanced industry standards.

Role Responsibilities

• 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 Sage maker, 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.
• Extra points for having experience in building GenAI solutions for business use cases using AWS services like Bedrock with a good understanding of LLM models commonly used today.

Role Requirements

• 4+ years of Professional experience.
• Knowledge and experience in applying machine learning/AI to solve real world problems.
• Experience in Machine Learning model development and deployment.
• Strong preference to hands on experience in building and deploying models in AWS Sage Maker, Dataiku (preferred)
• Experience working with platforms like Snowlfake , AWS, Dataiku preferred
• Familiarity with LLM’s and GenAI architecture
• Past experience in solving use cases from the BFSI /Fintech Domain.

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, problem-solve 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.

#L1-SR1 #LI-Hybrid 

Estimated Job Posting End Date:

09-02-2024

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.