Experience required: 2-5 Yrs
Skills: Data Science, Machine Learning, Predictive Modeling, generative ai, Data Analytics, R Program, Python, SQL

Role & responsibilities

Understand business requirements by engaging with business teams
Data extraction from valuable data sources & automating data collection process.
Data processing, cleaning, and validating integrity of data to be used for analysis.
Exploratory data analysis to identify trends and patterns in large amount of data.
Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc.
Present insights using data visualization techniques.
Propose solutions and strategies to various complex business challenges
Build GenAI models using RAG frameworks for chatbots, summarisation etc.

Develop model deployment pipeline using Lambda, ECS etc

Preferred candidate profile

Knowledge of statistical programming languages like R, Python and database query languages like SQL and statistical tests like distributions, regression etc.
Experience in data visualization tools like tableau, QlikSense etc.
Ability to write comprehensive reports, with an analytical mind and inclination for problem-solving.
Exposure in advanced techniques like GenAI, neural networks, NLP, image, and speech processing.
Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development and deployment

Role: Business Intelligence & Analytics - Other
Industry Type: Insurance
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Business Intelligence & Analytics
Education
PG: M.Tech in Any Specialization, MBA/PGDM in Any Specialization

Role & responsibilities

Develop model deployment pipeline using Lambda, ECS etc

Preferred candidate profile

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