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Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. Successful candidates will be part of a specialised customer-facing AI Labs team in our rapidly expanding Automation & Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.
You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge. Infosys Consulting offers exceptional opportunity for personal growth and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.
Responsibilities
Qualifications
Location: PAN India
Job ID: 153627753
Skills:
Machine Learning, Big Data, Text Mining, Statistical Analysis, Modeling, Optimization, agile practices
Skills:
Machine Learning, Natural Language Processing, Neural Networks, SAS, Matlab, Python, Sql, data analysis tools, R, Statistical Modeling, genetic algorithms
Skills:
Python, Sample size determination, Statistical power calculations, Causal Analytics, CausalPy, scipy.stats, Quasi-Experimental Observational Causal Inference, DoWhy, Impact Attribution, Lift Measurement, Variance reduction techniques, Synthetic Controls, Uplift modeling techniques, statsmodels, Uplift Behavioral Attribution, Experimental Design
Skills:
snowflake , SQL Server, Kafka, Redshift, Sql, Tensorflow, Numpy, Pandas, DB2, Pytorch, Spark, Databricks, Azure, Python, AWS, Airflow, scikit-learn, MLflow, R, Kubeflow
Skills:
snowflake , Databricks, Data Modeling, Python, Sql, Etl, ELT, data quality checks, pipeline development, R