Job Description

Chennai - IndiaTechnology /Employee: Full Time /HybridWhy We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,500+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at .Experience in BFSI domain / Statistical Modelling & Validation is an added advantage Knowledge of Python packages and tools Develop Predictive Solutions using advanced statistical techniques to enable better decision making Dun & Bradstreet Technology and Corporate Services India LLP is the global center of excellence for providing technology and analytics solutions and services to Dun & Bradstreet and its clients globally. We specialize in delivering predictive models and decision management solutions to convert raw data into actionable insights. Our customers include banks, financial services organizations, credit bureaus, rating agencies and thousands of businesses across the globe. Headquartered in Hyderabad (India), the company employs high caliber data scientists, economists, analytics professionals and data engineers from some of the finest institutions in the country striving to create more transparent credit & business environment and robust economies.Key Skills Strong Analytical and Problem-Solving Skills, Statistical Modelling, Data Analysis, Risk Scorecard Development, Machine Learning etc.Primary Responsibilities Include but Are Not Limited To:

• Work across range of Analytical Solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting
• Work across range of Analytical Solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting
• Generate Analytical Insights on various customer portfolios
• *Develop Predictive Solutions using advanced statistical techniques to enable better decision making
• Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP and development of new capabilities
• Serve as a Subject Matter Expert on using Machine Learning techniques
• Collaborate with Technology teams to implement analytical solutions and models
• Work with stakeholders in providing additional analysis based on specific needs

Requirements:

• 5 to 8 years of relevant experience in Data Analytics / Data Science roles
• Strong programming skills in tools such as Pyspark, Python, R, SQL to manipulate data and conduct statistical analysis
• Knowledge of Python packages and tools
• Sound Knowledge and proven experience on application of Statistical / Machine Learning Techniques
• Experience in BFSI domain / Statistical Modelling & Validation is an added advantage
• Ability to interpret and translate data into meaningful business insights
• Excellent verbal, written communication and presentation skills

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Dun & Bradstreet