Senior Data Scientist I
Job Description
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
8-10+ years of relevant experience
Bachelors degree in computer science, information technology or equivalent educational qualification
8-10+ years of relevant experience
Bachelors degree in computer science, information technology or equivalent educational qualification
- 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
- Azure ML or cloud AI/ML Services
- ML Ops
- Banking Financial Services and Insurance domain knowledge
More Info
Job Type:
Industry:
Employment Type:
Key Skills
Generative AI
Prompt engineering
Machine learning frameworks
Cloud AI ML Services
Feature engineering
Large language Models
ML Ops
SCikit-learn
spacy
About Company
Skills:
Keras, Tensorflow, Python, Nlp, Machine Learning, Opencv, Predictive Analytics, Cv
Skills:
Retrieval-augmented generation (RAG), Large Language Models (LLMs), Python, Generative AI, Prompt engineering, Deep learning techniques, reinforcement learning, AI performance optimization, Model training, AI orchestration patterns, Agentic AI, Semantic reasoning, Knowledge graphs, AI pipelines, LLM frameworks, Structured data systems, Fine-tuning, AI frameworks, Transformer-based architectures, Model evaluation
Skills:
Pytorch, distributed training, applied deep learning, programming fundamentals, ML pipelines, large-scale datasets, supervised learning, Statistics
Skills:
MLops, AWS, Terraform, Python, Agentic AI, LLMs
Skills:
Python, Machine Learning, Data Science