Chief Data Insights Officer

4 days ago

bangalore, India beBeeDataScience Full time

Job Title: Data Science and AI ManagerAbout the Role:We are seeking a highly skilled Data Science and AI Manager to lead our team in delivering innovative data-driven solutions.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 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.Required Skills and Qualifications:4 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, customer churn, credit risk assessment, fraud detection, and customer segmentation.Bachelor's or Master's degree from a Tier 1 technical institute or MBA from Tier 1 institute.Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, and 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 space.Benefits:Opportunity to work with cutting-edge technologies and contribute to innovative projects.Collaborative and dynamic work environment.Continuous learning and professional growth opportunities.About Us:We are a company dedicated to delivering data-driven solutions that drive business value. Our team is passionate about leveraging AI and ML to solve real-world problems and make a meaningful impact.

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