Senior Data Scientist - VP

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 data. - 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 data. - 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.