Senior Data Scientist - VP (India)

As a Senior Data Scientist - Vice President at Barclays, your role involves driving strategic insights from large data sets, developing predictive models, and leading cross-functional initiatives to improve business outcomes.**Key Responsibilities:**- Identify, collect, and extract data from internal and external sources.- Perform data cleaning, wrangling, and transformation to ensure quality and suitability for analysis.- Develop and maintain efficient data pipelines for automated acquisition and processing.- Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the Develop and implement predictive models to forecast future outcomes and identify potential risks and opportunities.- Collaborate with business stakeholders to add value from data through Data Science initiatives.**Qualifications Required:**- Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders.- Experience with machine learning methods such as PCA, MDS, factor analysis, regression, choice models, cluster analysis, and more.- Strong coding skills in Python and understanding of technologies like GenAI, LLMs, and the RAG framework.- Masters or PhD in a highly numerate discipline (Statistics, Mathematics, Physics, Computer Science, Engineering) is desirable.- Proficiency in SQL, Tableau/PowerBI, PySpark, Hadoop, and front-end frameworks would be beneficial.The company is located in Gurugram, India.Please note that detailed information about the company was not provided in the job description. As a Senior Data Scientist - Vice President at Barclays, your role involves driving strategic insights from large data sets, developing predictive models, and leading cross-functional initiatives to improve business outcomes.**Key Responsibilities:**- Identify, collect, and extract data from internal and external sources.- Perform data cleaning, wrangling, and transformation to ensure quality and suitability for analysis.- Develop and maintain efficient data pipelines for automated acquisition and processing.- Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the Develop and implement predictive models to forecast future outcomes and identify potential risks and opportunities.- Collaborate with business stakeholders to add value from data through Data Science initiatives.**Qualifications Required:**- Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders.- Experience with machine learning methods such as PCA, MDS, factor analysis, regression, choice models, cluster analysis, and more.- Solid coding skills in Python and understanding of technologies like GenAI, LLMs, and the RAG framework.- Masters or PhD in a highly numerate discipline (Statistics, Mathematics, Physics, Computer Science, Engineering) is desirable.- Proficiency in SQL, Tableau/PowerBI, PySpark, Hadoop, and front-end frameworks would be beneficial.The company is located in Gurugram, India.Please note that detailed information about the company was not provided in the job description.