Data Scientist-Cx Analytics

Job Requirements About the Role The

Data Scientist-Cx Analytics will play a pivotal role in enhancing customer experience through data-driven insights and advanced analytics. This role involves mapping customer behaviors, developing machine learning models, and collaborating with cross-functional teams to ensure effective data capture and deployment. The ideal candidate will be passionate about using data to solve business problems and improve customer engagement. Key Responsibilities

Primary Responsibilities

• Leverage advanced analytics techniques to map and understand customer behaviors.
• Demonstrate robust understanding of data structures and fields required for customer experience analysis.
• Translate business perspectives into analytical solutions that enhance customer experience.
• Innovate and develop ML/AI models to improve business performance and customer outcomes.
• Apply relevant analytics algorithms to extract actionable insights from internal and external data sources.
• Perform data cleansing, merging, enrichment, and transformation to prepare high-quality datasets for modelling.
• Analyze large datasets to identify trends, patterns, and opportunities for business growth.
• Build recommendation engines and propensity models to support cross-sell and up-sell strategies
• Validate models to ensure accuracy, stability, and compliance with regulatory guidelines.
• Present complex model outputs and insights in a clear, business-friendly manner.
• Liaise with business and technology teams to lead initiatives for structured data capture and storage.
• Partner with technology teams to define and execute deployment roadmaps for analytical solutions.
• Collaborate with cross-functional stakeholders to increase adoption of analytics in decision-making processes.
• Maintain awareness of how individual contributions align with the Bank’s broader vision. What We Are Looking For Education
• Graduation in BSC or BCA or B.Tech.

Experience

• 5 years of relevant Experience in customer analytics, machine learning model development, and stakeholder collaboration.
• Proven track record of delivering data-driven solutions that improve customer experience. Skills and Attributes
• Strong analytical and problem-solving skills.
• Proficiency in ML/AI algorithms and data analysis tools.
• Ability to translate business needs into technical solutions.
• Excellent communication and collaboration skills.
• Strategic mindset with a customer-centric approach.
• Experience with data engineering practices and deployment planning. Key Success Metrics
• Development and deployment of analytical tools.
• Delivery of business use cases that enhance customer experience.