Senior Associate, Data Scientist, Data Chapter

DBS Bank

Hyderabad

On-site

INR 1,800,000 - 3,000,000

Full time

14 days+

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Job summary

DBS Bank in Hyderabad is seeking experienced Analytics professionals to join Group Technology and Operations to advance data-driven decision making across customer management and revenue optimization.

You will build models, work with stakeholders, and deploy solutions end-to-end using Python, PySpark, SQL, and generative AI tools, with emphasis on proactive collaboration and learning.

Qualifications

  • Experience 6 - 9.5 years.
  • Solid understanding of statistics, mathematical modeling, and machine learning.
  • Proficiency in Python, PySpark, and SQL.
  • Experience with Generative AI frameworks and prompt engineering.
  • Strong communication and problem-solving skills.

Responsibilities

  • Drive end-to-end data-driven solutions from problem definition to implementation.
  • Consult with business stakeholders to translate challenges into models.
  • Develop, deploy and productionise predictive models (classification/regression).
  • Improve existing ML processes and identify new opportunities from data.

Job description

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble, and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability, and innovation. In Group T&O, we manage most of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Roles & Responsibilities
  • Driving Innovation: We are looking for Data Scientists across different levels to drive our journey towards becoming the most intelligent bank in the world.
  • Stakeholder Consultation: Consult with business stakeholders to understand complex business challenges and devise robust, data-driven solutions.
  • End-to-End Delivery: Develop, deploy, and productionise data-driven solutions from initial problem definition to final implementation.
  • Process Improvement: Continuously refine and enhance existing processes for developing and deploying machine learning solutions.
  • Opportunity Identification: Identify new opportunities for the bank by analyzing vast amounts of both structured and unstructured data.
  • Model Development: Build predictive models (cross-sell, up-sell, attrition) to optimize customer management and drive revenue.
  • Hyper-personalization: Develop and deploy hyper-personalization solutions for the consumer bank.
  • Accountability & Communication: Act as a proactive owner of assigned tasks, ensuring accountability from inception to completion. Communicate complex technical work to business stakeholders with clarity and without jargon, ensuring alignment and understanding.
Requirements
  • Experience - 6 - 9.5 years.
  • Technical Foundations: A solid understanding of statistics, mathematical modeling, and machine learning.
  • Critical Thinking: Demonstrated ability to analyze complex problems, identify root causes, and propose innovative data-driven solutions.
  • Gen AI Skills: Practical experience in applying Generative AI frameworks like langchain, langflow, google adk etc and prompt engineering skills to enhance data science workflows and business outcomes.
  • ML Proficiency: Proven experience building Decision Trees, Random Forest, Gradient Boosting, or other ML methods for both classification and regression problems.
  • Production Experience: End-to-end experience taking solutions from development into a production environment.
  • Programming Skills: Ability to program in Python, PySpark, and SQL.
  • Soft Skills:
    • Proactive & Accountable: A self-starter who takes ownership and accountability for all assigned tasks.
    • Communication: Exceptional written and verbal communication skills; ability to explain technical outcomes in business-friendly terms, avoiding unnecessary jargon.
    • Problem-Solving: Strong problem-solving skills, ability to work under pressure, and a positive, resilient attitude.
    • Learning Agility: A demonstrated ability to self-learn new skills and technologies.
  • Experience (Good to have): Experience in analytics and modeling within the banking domain is preferred but not mandatory.
Location

Hyderabad - DTI Skyview SEZ

Job

Analytics

Schedule

Regular

Employee Status

Full time

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