
Data Science and AI Leadership Position
1 week ago
At our organization, we are seeking a highly skilled Data Science and AI Professional to lead our team in delivering innovative solutions that drive business value. The ideal candidate will have a strong foundation in machine learning modelling, deployment, and cloud-native ML pipelines.
- 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, particularly within financial services domains such as marketing, risk, compliance, and customer lifecycle management.
- 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.
- 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.
Key Requirements:
- 4-7 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 optimization, customer churn and retention analysis, credit risk assessment and scoring models, fraud detection and transaction risk modeling, and customer segmentation for personalized targeting.
- 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, 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.
- Strong problem-solving capabilities and the ability to independently lead tasks or contribute within a team setting.
- Effective communication and presentation skills for internal and client-facing interactions.
- Ability to bridge technical solutions with business impact and drive value through data science initiatives.
We offer a dynamic and collaborative work environment, opportunities for professional growth, and a competitive compensation package.
Apply now to join our team and become a part of our mission to deliver innovative solutions that drive business value.
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