Associate, Specialist, Data Scientist, COO - (WD75238)
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.
Primary Location
: India-Maharashtra-Mumbai
Job
: Analytics
Schedule
: Regular
Employee Status
:
Full-time
:
Job Posting
: Jul 2, 2025, 2:30:00 AM
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