Data Science and Analytics Manager

Key Responsibilities

• Engage 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 Requirements