Associate Data Scientist

Associate III Data Science-SUPPORT SERVICES-Data & Analytics - In House Engineering

About Kotak Mahindra Group:

Established in 1985, the Kotak Mahindra Group is one of India’s leading financial services conglomerates. In February 2003, Kotak Mahindra Finance Ltd (KMFL), the group’s flagship company, received a banking license from the Reserve Bank of India (RBI). With this, KMFL became the first non-banking finance company in India to become a bank – Kotak Mahindra Bank Limited.

The consolidated balance sheet of Kotak Mahindra Group is over 1 lakh crore and the consolidated net worth of the Group stands at 13,943 crore (approx. US$2.6 billion) as on September 30, 2012.

The Group offers a wide range of financial services that encompass every sphere of life. From commercial banking to stock broking, mutual funds, life insurance and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The Group has a wide distribution network through branches and franchisees across India, the international offices in London, New York, California, Dubai, Abu Dhabi, Bahrain, Mauritius and Singapore. For information, please visit the company’s website at

http://www.kotak.com

What we offer

Our mission is simple – Building trust. Our customers' trust in us is not merely about the safety of their assets but also about how dependable our digital offerings are. That’s why we at Kotak Group are dedicated to transforming banking by imbibing a technology-first approach in everything we do, with an aim to enhance customer experience by providing superior banking services. We welcome and invite the best analytical and technological minds in the country to come join us in our mission to make banking seamless and swift. Here, we promise you meaningful work that positively impacts the lives of many.

Job Description – Kotak Data Labs:

Kotak Data Labs plays a pivotal role in driving innovation and business growth at Kotak. The team collaborates with stakeholders and data providers, leveraging advanced analytics and Data Science / Machine Learning techniques to drive strategic decision-making across the bank. The core work charter includes supporting different products across the bank by developing solutions across the customer journey to drive Acquisition, Engagement and Retention using cutting-edge Data Science capabilities and Data platforms.

The Data Scientist and Data Analyst role within the team involves deploying projects from conception to actionable insights, enabling data-driven marketing strategies, developing risk scorecards, building behavioral models and impact in the banking business. This role focuses on leveraging Data science techniques for model development, feature engineering, driving automation, process improvement, and operational efficiency while demonstrating innovative thinking, passion for data science and fostering cross-team collaboration. Establishing strong working relationship with stakeholders in the bank is also a key aspect of this role.

Roles and Responsibilities:

• Deliver end to end Data Science/Analytics projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building and validating predictive models, explaining model results & insights and deployment
• Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modelling to address business problems.
• Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters.
• Provide requirements to develop analytical capabilities, platforms, and pipelines.
• Present insights and recommendations to audiences of varying levels of technical sophistication
• Automate processes to ensure scalability of solutions by collaborating with cross-functional teams
• Perform the data extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic
• Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights

Skill requirements:

• Master’s or Bachelor’s Degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, etc.)
• Coding skills in Python, SQL
• Deep understanding and hands-on experience with ML/DL Algorithms
• Experience of working with large data sets and developing scalable solutions
• Knowledge of Marketing, Risk, Business, Banking and Financial services, E-Commerce is preferred
• Ability to work independently and deal with ambiguity
• Strong analytical and problem-solving skills
• Excellent presentation and strong written & verbal communication skills
• Knowledge of Banking products, Marketing strategies and Generative AI is a plus
• Highly motivated and collaborative team player with strong interpersonal skills