IDFC FIRST Bank is hiring for a fresher entry level Associate Data Scientist role in India

Position:

• Associate Data Scientist

• Part of the Data & Analytics division

• Entry-level opportunity designed for professionals beginning their career in data-driven problem-solving

• Focuses on developing AI/ML models, data analysis, and business intelligence insights

• Expected to act as a bridge between business requirements and technical execution

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Company:

• IDFC FIRST Bank

• Established through the merger of IDFC Bank and Capital First in 2018

• One of India’s fastest-growing new-age banks

• Committed to customer-first solutions, ethical practices, and technology-driven banking services

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Location:

• Mumbai, Maharashtra, India

• Central hub for IDFC FIRST Bank’s data and analytics operations

• Provides exposure to the financial capital of India with access to diverse datasets and business functions

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Job type:

• Full-time role

• Requires commitment to structured deliverables, long-term projects, and continuous learning

• Employee benefits and growth aligned with the bank’s policies for data science roles

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Job mode:

• Onsite

• Primarily office-based, with collaboration across business and technical teams

• Opportunities for in-person mentorship, direct exposure to banking operations, and cross-department coordination

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Job requisition id:

• P-186639

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Years of experience:

• 0 to 3 years

• Suitable for fresh graduates, early-career professionals, or those with limited experience in data science or analytics

• Focuses on learning and applying data-driven methods while gaining industry knowledge

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Company description:

• IDFC FIRST Bank is a new-age universal bank, founded through the merger of IDFC Bank and Capital First. The merger combined the infrastructure financing expertise of IDFC Bank with the retail financial innovation of Capital First.

• The bank’s mission is to create a customer-friendly, ethical, and socially responsible institution that addresses both retail and corporate needs.

• IDFC FIRST Bank provides a wide range of services, including retail banking, MSME financing, rural banking, startup banking, corporate banking, cash management, wealth management, and treasury operations.

• The bank has pioneered ZERO Fee Banking, ensuring that customers are not charged for essential services like SMS alerts, RTGS, NEFT, IMPS, and ATM withdrawals. This makes it the first bank in India to take such a customer-centric approach.

• Technology is a cornerstone of the bank’s operations. With its mobile app boasting over 250 features and a 4.8 rating on app stores, IDFC FIRST Bank has positioned itself as a leader in tech-enabled financial services.

• Globally recognized by Forrester, the bank has been ranked among the world’s top 20 for digital excellence. Its focus on customer experience, transparency, and simplicity has set benchmarks in the industry.

• Social responsibility is deeply embedded in its vision. IDFC FIRST Bank serves more than 40 million customers, including significant contributions to financial inclusion with loans to women entrepreneurs, sanitation projects, SME financing, and livelihood development initiatives.

• The bank is also committed to Environmental, Social, and Governance (ESG) goals, holding some of the highest ESG ratings in the industry.

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Profile overview:

• The Associate Data Scientist role is part of the Data & Analytics department. The primary focus is on designing, implementing, and deploying data models that solve real-world business challenges in banking.

• The role involves interacting with various stakeholders to understand business problems, analyzing large datasets, and applying AI/ML techniques to create actionable insights.

• Candidates are expected to show curiosity, strong analytical thinking, and the ability to translate complex data into meaningful solutions for the business.

• Responsibilities include model building, testing, validation, and deployment. The role also demands the ability to monitor performance and iterate on models as business needs evolve.

• The position offers exposure to multiple functions of the bank such as retail, MSME, corporate finance, and customer relationship management. This provides a holistic understanding of how data science influences different aspects of financial services.

• Success in this role is measured by the ability to build scalable data solutions, implement them in real-time operations, and improve decision-making efficiency across the bank.

• It is an entry-level role but highly strategic, as it places the candidate at the intersection of business decision-making and advanced analytics.

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Qualifications:

• Bachelor’s or Master’s degree in fields such as Computer Science, Statistics, Mathematics, Data Science, or Engineering.

• Understanding of Python, SQL, and other programming languages commonly used in data science.

• Knowledge of machine learning concepts such as regression, clustering, classification, and optimization.

• Exposure to data analytics, data mining, and statistical methods.

• Ability to work with large datasets, ensuring data cleaning, preparation, and validation before analysis.

• Strong logical reasoning and structured problem-solving abilities.

• Familiarity with algorithms, model training, evaluation metrics, and optimization techniques.

• Willingness to learn advanced AI/ML techniques and adapt to emerging tools in the field.

• Effective communication skills to explain technical findings to non-technical stakeholders.

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Roles & Responsibilities:

• Identify and understand business priorities by gathering, clarifying, and analyzing requirements from stakeholders.

• Translate these requirements into well-defined analytical problems that can be addressed using data-driven approaches.

• Design machine learning and statistical models tailored to meet current and future business needs.

• Ensure deep understanding of datasets, features, and business fields required for effective analysis.

• Apply advanced AI/ML methods to address varied business challenges, such as customer segmentation, fraud detection, and credit risk evaluation.

• Develop and document test strategies to ensure models meet accuracy, robustness, and reliability standards.

• Create systematic testing procedures to validate the performance of algorithms against design specifications.

• Deploy models into production environments while monitoring their effectiveness in real-world applications.

• Continuously refine algorithms to enhance accuracy, adaptability, and scalability.

• Contribute to the development of internal tools, frameworks, and processes that improve analytics delivery across the bank.

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Key Success Metrics:

• Successful design and deployment of machine learning models that align with business needs.

• Measurable improvements in operational efficiency, customer engagement, and decision-making accuracy.

• Timely delivery of models and tools that integrate seamlessly into business processes.

• Continuous innovation and refinement of analytical approaches, ensuring long-term relevance.

• Ability to translate analytical results into business actions that drive growth and reduce risks.

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Additional info:

• This role offers the opportunity to work at the forefront of banking analytics in one of India’s fastest-growing financial institutions.

• The bank promotes a culture of ethical banking and encourages employees to build customer-friendly solutions.

• Employees benefit from exposure to cutting-edge AI/ML technologies, with continuous opportunities for learning and professional development.

• IDFC FIRST Bank supports career progression by providing mentorship, structured training programs, and access to senior leaders.

• The role is highly collaborative, requiring close coordination with business units, product teams, and IT functions.

• Candidates who perform well in this role can expect growth opportunities in data science, product management, and business strategy within the organization.

• As an employee, you will also be part of IDFC FIRST Bank’s broader mission of social good, contributing indirectly to projects that impact millions of lives.

Please click here to apply.