Role- Data scientist

Year of Experience- 10 to 18 years

Location-Pan India

Required Skill set- Python, PySpark, ML-Ops, NLP, AWS/ GCP/ Azure

Data Scientist:

10+ yrs of industry experience on customer projects involving model development and deployment
Provide AI/ML solution to business problems in BFSI domain and work with relevant stakeholders to provide actionable insights and data science solutions
Hands-on model selection, training and tuning
Data processing, feature engineering, feature selection and model fitting for in memory and out of memory data
Hands on knowledge of Python, SQL and related ecosystem of frameworks for model development and deployment (scikit-learn, Keras, tensorflow, pytorch, tensorflow, nltk, sagemaker)
Strong understanding of statistical modelling/machine learning/data mining/NLP/computer science concepts. Application of these across multiple deliverables in production with real users. NLP/Text analytics experience is required.
Expertise in working with Large Language Models, particularly GPT (Generative Pre-trained Transformer) variants
Experience with cloud technologies (AWS/Azure/GCP etc) for model development and preferably deployment
Ability to apply mathematics, machine learning, or quantitative analysis to solve sophisticated problems and deliver innovative solutions with keen attention to detail
Strong interpersonal, communication and presentation skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.

Good to Have -

Knowledge of Big Data tools and computational analytics is plus
Spark/pyspark, model development and deployment on cloud, model serving
Graph data modelling, graph analytics/data science, graph dashboard/reports visualization and hands on graph analytics tools/dbs (e.g. neo4j/tigergraph, networkX, graphx)

Data Scientist