Senior Analyst, Data Science (R-17090)

Posted 6 Days Ago
Be an Early Applicant
Chennai, Tamil Nadu
Hybrid
Mid level
Artificial Intelligence • Big Data • Fintech • Machine Learning • Software • Generative AI • Big Data Analytics
A leading global provider of business decisioning data and analytics for almost 200 years.
The Role
As a Senior Analyst in Data Science, you will be responsible for implementing analytical solutions, extracting and analyzing data from various sources, creating data pipelines, and applying MLOps frameworks for real-time monitoring of AI/ML models. Collaborating with global teams, you will ensure timely deliveries and develop insights from data.
Summary Generated by Built In

Why We Work at Dun & Bradstreet

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.


Overview


Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidate 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 Implementation, Testing, Validation, Documentation, AI/ML Observability, Monitoring, and Reporting.
  • Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc., to perform multiple analysis.
  • Creating data pipelines, performing model scoring, and validating model results. Utilize custom built automated frameworks for all deliverables.
  • Work on MLOps frameworks to deploy, monitor and validate AI / ML models in real time.
  • Work with multiple teams such as Data Supply, Product, Governance, PMO, Technology to implement analytical solutions and models.

Requirements

  • 4 to 6 years of relevant experience in Data Analytics / Data Science roles.
  • Strong programming skill in tools such as Pyspark, Python, SQL to manipulate data and create deployable production code.
  • Knowledge of Python packages and tools.
  • Sound knowledge and exposure to application of Statistical / Machine Learning techniques.
  • Experience in building and optimizing data pipelines, architectures and data sets.
  • Creating API solutions and performing testing of API based products.
  • Ability to interpret and translate data into meaningful business insights.
  • Knowledge of LLM frameworks/GPT, LangSmith, LangChain will be additional advantage.
  • Excellent verbal, written communication and presentation skills.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.


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Top Skills

Pyspark
Python
SQL
The Company
HQ: Jacksonville, FL
6,317 Employees
Hybrid Workplace
Year Founded: 1841

What We Do

For almost 200 years, Dun & Bradstreet has helped clients and partners grow and thrive through the power of data, analytics, and data-driven solutions. Our more than 6,000 employees around the world are dedicated to this unique purpose, and we are guided by important values that make us the established leader in business  decisioning data and analytical insights. Our data & insights are valuable at all phases of a business lifecycle and whatever the economic environment.

Why Work With Us

We are at a transformational moment in our company journey, and we’re excited about it. Each day, we are taking steps to transform our culture into one that activates our people’s best work, exploring what needs to change to accelerate creativity and innovation, and challenging ourselves to think differently about how we interact.

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