Role Value Proposition
Data Scientist plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical skills, machine learning. It is an individual contributor role. This role mentors data scientists . It is an individual contributor role, expected to solve wide ranging business problems
Experience
8-10+ years of relevant experience
Education
Bachelors degree in computer science, information technology or equivalent educational qualification
Responsibilities
Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data
Perform exploratory data analysis, feature engineering
Monitor, evaluate and improve model performance.
Ensure model development follows quality, security , compliance, explainability and responsible use of AI guidelines,
Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)
Mentor Data Scientists
Independently lead design, solutioning & estimations
Technical Skills
Python
Statistics, hypothesis testing, Feature engineering, Modeling
Machine learning frameworks: SCikit-learn, TensorFlow, Pytorch,
Natural language processing (NLP): spacy, Transformers, OCR
Generative AI: Large language Models, prompt engineering
Communication skills, analytical skills, structured problem-solving skills.,
Mentorship experience
Storytelling skills ,Partner & Stakeholder engagement experience
Good To have
Azure ML or cloud AI/ML Services
ML Ops
Banking Financial Services and Insurance domain knowledge 