Head - Data Sciences
Industry : Banking / Financial Services / Broking
Category ; Consulting
Skills : Machine Learning, Spark, Python, Data Sciences, Data Scientist, Data Science, Clustering, Classification, Regression
Job Type : Permanent
Job Description : As Head-Data Sciences, you will be managing the team responsible for using data science related methods and tools to create results and insights that will accelerate the growth of the organisation
Client Details :
Our client is one of the leading fintech companies that provide financial solutions in multiple markets across the globe. They are looking to hire for Head-Data Sciences to launch a new product in the payments space based out of Gurgaon
Description :
Reporting into the MD, some of your major responsibilities as Head-Data Sciences will be to :
- Build machine learning algorithms to build their new product which is intended to provide deferred payment option to customers
- Work with product, engineering and other functions to streamline the implementation of the product
- Build and manage a team of machine learning professionals
- Collaborate with business teams to understand the challenges and come up with innovative solutions to meet their requirements
- Provide technical leadership and subject matter expertise to Decision Management globally
- Institutionalize the domain knowledge by producing patentable solutions for the organization
Profile :
As a successful applicant for Head-Data Sciences, you need to have :
- PhD/MS/M.Tech/B.Tech from Tier 1 institutes
- 10+ years of hands on experience in machine learning algorithms
- Prior experience of managing teams in the Financial Services space
- Experience of working in an unstructured environment
- Excellent interpersonal and stakeholder management skills
Job Offer :
The individual would form part of the Leadership team and responsible for contributing towards the vision of the organization
Page Group India is acting as an Employment Agency in relation to this vacancy.
Contact - Rakhi Mulchandani - +91 (0) 124 452 5443
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