Data Science & Analytics Job Vacancies at Kotak – Data Scientist Role in Mumbai
Kotak Mahindra Bank is looking to expand its data science team and is hiring Data Scientist candidates for the KMPL Support Services – Analytics role in Mumbai, Maharashtra, India. This is an exciting opportunity for professionals who are passionate about data science, machine learning, and analytics. Kotak is known for offering excellent growth opportunities and competitive salaries to its employees, making it a desirable place for those looking to further their careers in data science.
About the Data Science & Analytics Job Vacancies at Kotak
Kotak is hiring for the Data Scientist – KMPL Support Services – Analytics position to help enhance business processes and customer experiences in the banking, financial services, and insurance (BFSI) sectors. The Data Scientist will work extensively on machine learning models, statistical analysis, and data-driven solutions to optimize business processes across customer journeys. You will be an integral part of Kotak’s dynamic team, driving data science innovations that impact the company’s operations and customer relations.
- Company Name: Kotak Mahindra Bank
- Job Position: Data Scientist – KMPL Support Services – Analytics
- Job Location: Mumbai, Maharashtra, India
- Expected Salary: ₹9 LPA to ₹15 LPA (As per company standards)
- Full/Part Time: Full-time
- Req ID: 179915
- Education Level: Graduation, Post-Graduation, or equivalent
- Qualifications:
- Master’s/PGDM in Statistics/Economics or
- MCA/IIT-BTech/Bachelors in Statistics
- Up to 2 years of relevant experience in data science roles
- Skills Required:
- SQL and Python (Must have)
- Experience with Supervised & Unsupervised Machine Learning Algorithms
- Strong communication skills and a collaborative mindset
- Familiarity with SAS and AWS S3/Sagemaker (Good to have)
- Proficiency in Ms. Excel & PowerPoint
Roles and Responsibilities of the Data Scientist at Kotak
As a Data Scientist at Kotak, you will be responsible for developing and deploying machine learning models that enhance business processes in the banking, financial, and insurance industries. Your day-to-day duties will include:
- Writing Optimized Code:
- Develop and maintain scalable, efficient code for machine learning model pipelines.
- Ensure that the code adheres to best practices for performance optimization and resource management.
- Version Control & Lifecycle Management:
- Implement version control techniques to manage changes in the codebase.
- Maintain and update configuration files to ensure the smooth lifecycle management of the data science models.
- Data Analysis and Insights Extraction:
- Conduct thorough exploratory data analysis to uncover valuable trends and patterns.
- Convert business needs into actionable, data-driven insights.
- Build and maintain feature repositories for use in model development.
- Building and Improving Robust Models:
- Develop reliable models that perform well across time periods and customer segments.
- Continuously monitor, refine, and improve models to adapt to new data and evolving business conditions.
- Publishing Model Outcomes:
- Communicate model results and insights effectively to stakeholders.
- Work towards model adoption by ensuring they meet business needs and are easy to use.
- Collaborating with Cross-Functional Teams:
- Work alongside different teams to develop predictive models that assess credit risk or personalize customer experiences.
- Identify target segments for cross-selling and up-selling campaigns.
Required Skills for Data Scientist at Kotak
To excel in this Data Science role at Kotak, the following skills are essential:
- SQL and Python: Knowledge of SQL databases and proficiency in Python is required to develop and implement data models.
- Machine Learning Algorithms: Hands-on experience with supervised and unsupervised learning algorithms.
- Data Visualization and Reporting: Ability to visualize data and communicate findings clearly to stakeholders.
- Collaboration & Communication: Strong interpersonal skills to work effectively with cross-functional teams.
- AWS & SAS (Optional): Familiarity with AWS S3, Sagemaker, and SAS would be an advantage.
Why Join Kotak for Data Science Roles?
Working at Kotak as a Data Scientist offers several advantages:
- Competitive Salary and Benefits: With a salary range of ₹9 LPA to ₹15 LPA, Kotak offers a competitive compensation package that is in line with industry standards.
- Career Growth Opportunities: Kotak provides an excellent platform for growth and advancement, giving employees the chance to hone their skills and build a rewarding career in the data science field.
- Impactful Work: The work you do will directly impact business processes, customer experiences, and decision-making at a leading financial institution.
- Collaborative Culture: Kotak fosters a collaborative and inclusive work environment, where employees are encouraged to share ideas and work together towards achieving business goals.
How to Apply for Data Science Jobs at Kotak?
Interested candidates who meet the eligibility criteria can apply for the Data Scientist – KMPL Support Services – Analytics position at Kotak. The application process is online, and applicants should ensure they meet the qualifications and required skills before applying. Apply for the role as soon as possible to be considered for the position.
