Senior Analyst, Data Science (R-17677)

Posted 9 Days Ago
Be an Early Applicant
Chennai, Tamil Nadu
Hybrid
Senior 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 develop and implement analytical solutions, generate insights, and collaborate globally with the analytics team to support decision-making.
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.


Dun & Bradstreet Technology and Corporate Services India LLP is 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

Primary Responsibilities

  • Work across range of Analytical Solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting
  • Generate Analytical Insights by performing multiple analysis using Python/ Pyspark /Hadoop/ SQL/ etc.
  • Develop Predictive Solutions using advanced statistical techniques to enable better decision making
  • Support in different GenAI initiatives
  • 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, 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

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
  • Sound knowledge in GenAI tools and techniques and should have experience in developing models
  • 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

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

Hadoop
Pyspark
Python
SQL
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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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