Data Science-Senior Associate
Data Science-Senior Associate
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Job Description
Industry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
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 youll 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 analysiscreating 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
(PowerPoint Excel etc.) to analyze and communicate insights effectively
Nice to have:
Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML GCPs 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
Professional and Educational Background:
BE / / MCA / / M.E / /Masters Degree /MBA
Travel Requirements
0%Job Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
