Kotak Mahindra Bank : Data Scientist

Brief Description of position:

Job Title :  

In line with experience

Department :   Analytics CoE

Location : Mumbai

Kotak Mahindra Bank

Established in 1985, 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 banking license from the Reserve Bank of India (RBI), becoming the first non-banking finance company in India to convert into a bank – Kotak Mahindra Bank Ltd (KMBL).

Kotak Mahindra Group (Group) offers a wide range of financial services that encompass every sphere of life. From commercial banking to stock broking, mutual funds, life and general insurance and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The premise of Kotak Mahindra Group’s business model is concentrated India, diversified financial services. The bold vision that underscores the Group’s growth is an inclusive one, with a host of products and services designed to address the needs of the unbanked and insufficiently banked. For more information, please visit the Company’s website at www.kotak.com.

Analytics @ Kotak

Data is an integral part of Kotak Mahindra Bank – it is instilled in its DNA. Analytics is not just limited to the analytics team – but is important for each and every employee of the organization. This enables an efficient data-based discussion. Given the vital importance of analytics, Kotak Mahindra has structured around a centralized Analytics CoE team. The CoE has strong capabilities across the entire spectrum of the analytics function. 

Kotak Mahindra Bank is significantly augmenting its analytics team and provides an excellent platform to bright professionals having the right attitude.

The role – Data Science

Data Science plays a vital role in designing an efficient business strategy. The Bank is a leader in the area of analytics – and is taking vital steps in enhancing its leadership status.

Customer is the most important part for any organization – and the reason for our existence. You will be part of the niche team. This team will use their capabilities in the area of Data Science to help the Bank in reimagining the manner in which it interact with its customers. This helps in providing innovative solutions – whether in terms of products or in services. Thus, the role requires to reimagine the business processes to engage better with our customers.

What would the job require you to do?

The role requires to use your expertise in machine learning algorithms to improve the predictive capabilities of the various business processes. This requires leveraging data from multiple sources and analyzing them. You will be using your knowledge of statistics and advanced machine learning algorithms. Excellent knowledge of Deep Learning will be essential in developing innovative solutions. Your expertise in working with complex and unstructured data will be integral to succeeding in this function.

These capabilities will enable you to lead various initiatives and help realize tangible benefits for the Bank. 

The role also requires to be strong in documenting the various stages of your analysis process. You should also be able to explain and de-mystify the predictive analytics for the business teams. This interaction should help you to identify opportunities. You will be required to work effectively with the larger analytics team and collaborating on complex projects.

What are the key aspects required for the role?

Ability to identify the machine learning algorithms that can be applied to improve the business processes

Detailed documentation of the business model. Work closely with the business teams in identifying the use case studies for implementing machine learning.

The Brass-tacks – what are the specific you should have?

  • Business knowledge
  • Technical skills
    • Excellent knowledge of machine learning algorithms
    • Excellent knowledge of statistics
    • Passion to work with datasets – analyzing them for key insights 
    • Analytical Problem Solving capabilities
  • Software skills
    • Preferred: Knowledge of softwares – SAS and SQL
    • Preferred: Programming skills – Python and/or R
    • Decent knowledge of SQL and Excel
  • Excellent soft skills
    • Excellent Interpersonal and consultative skills
    • Excellent Oral and written communication proficiency
    • Stakeholder Management
    • Collaboration – be an excellent team player


Maximum Work Experience:
20 years
Maximum CTC (in lakhs per annum):
Mandatory SkillSet:
Statistics & EDA, Machine Learning, Python, SQL.


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