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Manager – Data Science

Location: Mumbai, Experience: 6 years - 10 years
Posted On: 27-Jun-2022 | Last Date to Apply: 31-Jul-2022 | No: of Vacancies : 1

Company Profile:

CRISIL Ltd. is one of the leading advisory & research firm in India and globally. Our company is a wholly owned subsidiary of S&P Global Company, USA. CRISIL Ltd. provides practical and innovative solutions to governments, donor funded agencies, private equity firms, leading corporates, and international clients across 35 emerging economies across Asia, Pacific and Africa.

Job description:

CRISIL is a global analytical company providing ratings, research, and risk and policy advisory services. CRISIL's majority shareholder is Standard & Poor's, a division of McGraw Hill Financial and provider of financial market intelligence

The Opportunity
CRISIL is seeking an experienced Sr. Data Scientist who can build analytical solutions and drive data driven decision making across functions. As a Sr. Data Scientist at CRISIL, you will be developing and mentoring data science enthusiasts to build machine learning algorithms to automate tasks involving unstructured data and having complex rules. As a Sr. Data Scientist you will be working closely with senior stakeholders to align data science opportunities to impact key business goals.

You Are Great At  Strong math skills (e.g. statistics, linear algebra, vectors & matrices).  Design algorithms and models to mine big data stores, perform data and error analysis to improve models.  Able to mentor emerging data science enthusiasts among the team.  Has experience in designing machine learning pipelines to integrate with enterprise applications.  Designing Deep learning Architectures to extract domain specific entities from textual & tabular data.  Implementing Machine Learning model as a Microservice.  Communicate analytic solutions to stakeholders and drive data driven decision making.  Working closely with stakeholders and identify data science opportunities to impact key metrics of the business.  Working knowledge of training models using AWS SageMaker platform.

Key Qualifications



Banking/Financial Services/Broking

Gender Preference:


Job Type:

Full Time

Diversity Tags:

Not Applicable