Data Science-Senior Associate

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. Youll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

Years of Experience: Candidates with 4+ years of hands on experience

Must Have

• Skilled in optimizing systems and user experiences through advanced modeling and analysis, identifying bottlenecks, and improving overall efficiency and retention across global markets
• Experienced in applying predictive and prescriptive analytics to enhance system performance, leveraging machine learning techniques to analyze large datasets, and improve overall processes
• Strong understanding of transactional data and relational databases for detailed analysis,creating interactive visualizations, and conducting ad-hoc inquiries to drive insights and decision-making
• Solid understanding of statistics, including statistical tests, and distributions relevant to user payments journey analysis, funnel analysis, AB testing and product services optimization
• Experience in data analysis, including data cleansing, standardization, and preparation for machine learning applications within digital payment systems
• Proficiency in machine learning frameworks and tools (e.g., scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib)
• 4+ years’ experience in advanced programming skills in SQL and Python/Pyspark, especially in the context of large-scale transactional data
• Expertise with visualization tools (e.g., Tableau, PowerBI, Hydra) and MS applications
  
  

• Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP’s Vertex AI platform, AWS SageMaker)
• Experience in applying Large Language Models (LLMs) to enhance customer service automation, fraud detection, and transaction analysis within digital payment systems, utilizing NLP techniques for text-based insights and decision-making
• Good Communication and presentation skills