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Job Description - Lead Data Scientist
Enriching Lives Winning as ONE
ABC Company Info:
Aditya Birla Capital Limited (ABCL) is the holding company for the financial services businesses of the Aditya Birla Group. With subsidiaries/JVs that have a strong presence across Protecting, Investing and Financing solutions, ABCL is a financial solutions group that caters to the diverse needs of its customers across their life cycle. Powered by more than 38,000 employees, the businesses of ABCL have a nationwide reach with over 1300 branches, more than 2,00,000 agents/channel partners and various bank partners.
What makes an ideal ABC Citizen
At ABC, we are constantly on the lookout for individuals who resonate with our 5 core values of Speed, Passion, Integrity, Seamlessness and commitment and live them every day, while also understanding our vision. We believe in building leaders who thrive on challenges, take the onus of creating and sustaining strong teams, and forms strong networks as a result of effective relationship-building.
Role Details:
Business | Aditya Birla Capital |
Unit | Aditya Birla Capital Limited |
Location | Mumbai |
Role | Lead Data Scientist |
Department | Analytics-Business |
Eligibility Criteria | Bachelor or master's degree |
Key Responsibilities:
Job Context:
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Disclaimer
Aditya Birla Capital is committed to provide equal opportunity to all in employment and prohibits discrimination or harassment in any form on the basis of race, colour, religion, ethnicity, age, gender, disability or any other characteristic protected by law. Diversity, Equity and Inclusion (DEI) is embedded in our recruitment policies based on our business needs and candidates meeting the eligibility criteria such as qualification, skills and experience.
Important
Job ID: 147356693
Skills:
statistical concepts , Numpy, Machine Learning, Data Modeling, Pandas, Data Extraction, Excel, Python, Sql, Data Analysis
Skills:
statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, Project Delivery, UNIX command line, Agile development practices, anomaly detection, Classification, ML Ops, Azure AI Search
Skills:
Data Management, Metadata Management, Sql, Spark, Reporting Tools, Data Profiling, Python, data quality frameworks, cloud platforms, data lineage analysis, R, data cataloging
Skills:
data engineering , Machine Learning, PostgreSQL, Hipaa, Informatica, Talend, Python, AWS, Hadoop, Sql, Spark Streaming, Hive, Gcp, Hl7, Spark, Apache Kafka, MongoDB, Azure, Airflow, Medallion Architecture, FHIR, Flink, CI CD, Ai, dbt
Skills:
Tensorflow, Pytorch, Sql, Python, R, Scikit-learn, ML libraries
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