Data Science-Manager
Data Science-Manager
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Job Description
Industry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob 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 8 years of hands on experience
Must Have:
Proficient in developing strategies for Fintech Payments and Ecommerce products and services to enhance market performance and customer experience
Experienced in financial data analysis including transaction trends optimization strategies and customer engagement metrics
Skilled in developing algorithms/models for financial processes and improving system efficiency and transaction flow
Hands-on experience in developing models using Log-Log Log-Linear Bayesian Regression algorithms as well as machine learning algorithms like Random Forest XGBoost. Also familiar with Unsupervised ML Ensembles & Deep Learning
Experience in Data analysis for e.g: data cleansing standardization and data preparation for the machine learning use cases
Ability to convert problem statements into actionable solutions to derive business outcomes
Good communication and presentation skills
Multi-task and manage deadlines responsible for incorporating client/user feedback into actionable insights
Experience in machine learning frameworks and tools (For e.g. scikit-learn mlr caret H2O TensorFlow Pytorch MLlib)
4 years of advanced level programming experience in SQL and Python/Pyspark to guide teams
Expertise with visualization tools for e.g: Tableau PowerBI Hydra etc. and MS applications(PowerPoint Excel etc.) to analyze and communicate insights effectively
Nice to have:
Comprehensive understanding of the financial services industry including trends consumer behavior and digital transaction systems globally
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
Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML GCPs Vertex AI platform AWS SageMaker)
Working knowledge of containerization (e.g. AWS EKS Kubernetes) Dockers and data pipeline orchestration (e.g. Airflow)
Experience with model explainability and interpretability techniques
Professional and Educational Background:
BE / / MCA / / M.E / /Masters Degree /MBA
Travel Requirements
0%Job Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
