Analyst II, Data Science (R-19762)
Dun & Bradstreet Chennai, Tamil Nadu, India
Information Services · 5,001-10,000 employees
About the role
The analyst will implement, validate, and monitor analytical solutions while managing large datasets using tools like Python, PySpark, and SQL. They will also support MLOps/LLMOps processes and develop automation initiatives to improve operational efficiency.
What they look for
Requirements
Candidates must have 3 to 6 years of experience in Data Science or Data Analytics roles with strong programming proficiency. A solid understanding of Machine Learning, statistical techniques, and modern AI concepts like GenAI is required.
Full description
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
Dun & Bradstreet Technology and Corporate Services India LLP are looking for candidates for the role of an 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.
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Key Responsibilities:
- Work across a range of analytical solutions involving implementation, testing, validation, documentation, monitoring, investigations, and reporting.
- Extract, analyze, and validate large datasets from various data sources using tools such as Python, PySpark, SQL, and Hadoop to support analytics implementations and operational activities. Perform model scoring, result validation, impact analysis, score investigations, and periodic model monitoring to ensure accuracy and operational stability.
- Develop and support automation solutions, AI-driven tools, and operational efficiency initiatives to streamline analytical processes and reduce manual effort.
- Utilize custom-built frameworks and platforms for analytics implementations, validations, monitoring, reporting, and delivery activities.
- Support MLOps/LLMOps processes for deployment, monitoring, observability, validation, and governance of AI/ML solutions.
- Create and maintain technical documentation, implementation artifacts, operational procedures, and knowledge repositories.
Key Skills:
- 3 to 6 years of relevant experience in Data Analytics / Data Science roles.
- Strong programming skills in Python, PySpark, and SQL to manipulate data and develop production-ready solutions.
- Knowledge of LLM tools, GenAI concepts, and modern AI techniques.
- Sound knowledge and exposure to the application of Statistical and Machine Learning techniques.
- Familiarity with AI/ML model monitoring, observability, automation frameworks, and GenAI applications.
- Exposure to workflow orchestration, process automation, or AI-driven operational efficiency solutions will be an added advantage.
- Exposure to LLM agents/tools and certifications in GenAI will be an added advantage.
- Ability to interpret and translate data into meaningful business insights.
- Excellent verbal, written, communication, and presentation skills.
\nAll Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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