Associate, Specialist, Data Scientist, COO

Business Function

The Data Chapter is a strategic partner to the business, leveraging cutting-edge AI and ML technologies to drive data-led initiatives that mitigate risk, generate revenue, and improve operational efficiency. We ensure data integrity and governance, providing high-quality analysis, insights, and automation to empower data-driven decision-making across DBS. Our collaborative approach ensures timely and actionable solutions that support the organization's strategic objectives

Responsibilities

• Develop and implement advanced data science models and algorithms to drive business insights and decision-making
• Collaborate with cross-functional teams to identify and solve complex business problems using statistical analysis and machine learning techniques
• Conduct risk and business model analysis to assess the impact of data-driven initiatives on the organization
• Explore and experiment with emerging technologies, such as generative AI, to enhance data science capabilities and drive innovation
• Demonstrate strong problem-solving skills and the ability to work independently as well as part of a team
  
  

Requirements

• 2-6 years of experience in data science, machine learning, or a related field
• Proficient in statistical analysis, data mining, and the application of advanced analytical techniques
• Hand on experience in Python coding and familiarity with cloud storage and computing is must, proficiency in excel is preferred
• Hands-on experience in developing and deploying data science models and algorithms, including those involving generative AI
• Excellent aptitude for problem-solving and critical thinking
• Strong communication and collaboration skills to work effectively with cross-functional teams
  
  

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

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Primary Location

India-Maharashtra-Mumbai

Job

Analytics

Schedule

Regular

Job Type

Full-time

Job Posting

Jul 1, 2025, 7:30:00 PM