Dun & 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 6,000+ 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 dnb.com/careers.
Dun & Bradstreet Technology and Corporate Services India LLP are looking for candidates for the role of senior analyst to support the data science team. The candidate needs to work closely with the team based in India and across a range of analytics leaders who are located globally to fulfill the deliverables on a timely basis.
Key Responsibilities:
Work across range of analytical solutions that includes design, development, validation, calibration, documentation, implementation and reporting
Generate analytical insights by performing multiple analysis using Python/Pyspark/SQL etc
Develop predictive solutions using advanced statistical techniques to enable better decision making
Support in different GenAI initiatives
Research and stay up to date on the latest advancements in generative AI technologies and methodologies
Build and deploy applications leveraging generative models, APIs and Frameworks
Serve as a subject matter expert on using machine learning, deep learning, GenAI techniques
Collaborate with technology teams to implement analytical solutions and models
Work with stakeholders in providing additional analysis based on specific needs
Key Skills:
5 to 8 years of relevant experience in data analytics/data science/GenAI roles
Strong programming skills in tools such as Pyspark, Python, 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
Sound knowledge in GenAI tools & techniques and should have experience in utilizing the LLM’s to solve business problem statements
Good understanding of RAG and agentic architectures
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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