Manager - Data Science and AI
3 days ago
Key ResponsibilitiesEngage with clients to understand their business objectives and challenges, providing data-driven recommendations and AI/ML solutions that enhance decision-making and deliver tangible value.Translate business needs - particularly within financial services domains such as marketing, risk, compliance and customer lifecycle management into well-defined machine learning problem statements and solution workflows.Solve business problems using analytics and machine learning techniques: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.Be a master storyteller for our services and solutions to our clients at various stages of engagement such as pre-sales, sales, and delivery using data-driven insights.Stay current with developments in AI, ML modelling, and data engineering best practices, and integrate them into project work.Mentor junior team members, provide guidance on modelling practices, and contribute to an environment of continuous learning and improvement.Job Requirements4 to 7 years of relevant experience in building ML solutions, with a strong foundation in machine learning modelling and deployment.Strong exposure to banking, payments, fintech or Wealth/Asset management domains, with experience working on problems related to:Marketing analytics for product cross-sell/up-sell and campaign optimizationCustomer churn and retention analysisCredit risk assessment and scoring modelsFraud detection and transaction risk modelingCustomer segmentation for personalized targetingExperience in developing traditional ML models across business functions such as risk, marketing, customer segmentation, and forecasting.Bachelor’s or Master’s degree from a Tier 1 technical institute or MBA from Tier 1 instituteProficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch.Experience in end-to-end model development lifecycle: data preparation, feature engineering, model selection, validation, deployment, and monitoring.Eagerness to learn and familiarity with developments in Agentic AI spaceStrong problem-solving capabilities and the ability to independently lead tasks or contribute within a team settingEffective communication and presentation skills for internal and client-facing interactionsAbility to bridge technical solutions with business impact and drive value through data science initiatives
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Ai software engineer
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Senior data engineer
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Director of Engineering
6 days ago
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AI and Databricks
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AI and Databricks
7 days ago
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AI Developer
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Gen AI
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