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Thomson ReutersVia Unstop

Posted 1w ago

Data Scientist

Pay

Salary (undisclosed)

Location

Bangalore, India

On site

Apply by

22 Oct

Last day today

Skills this role screens for

PythonPredictive modelingSQLScikit-learnSnowflake

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About the role

Thomson Reuters is hiring for the role of Data Scientist!

The work

Responsibilities of the Candidate

  • Build digital solutions for various HR processes and workflows, People Analytics products, and related tools, using React front-end and FastAPI backend architectures.
  • Design and maintain backend data systems, including strong hands-on work with Snowflake, and build LLM-based workflows and Agentic AI solutions to support HR and People Analytics use cases.
  • Take the initiative to tackle new business problems and have the curiosity to explore large volumes of data.
  • Seamlessly work with various business stakeholders, understand their individual needs and design custom solutions.
  • Will interrogate data, conduct independent research, utilize various techniques to analyze it and, if needed, tackle ambiguous problems with maturity.

Who they want

Requirements

  • Must have at least 2-4 years of experience working in the data science domain.
  • Knowledge of advanced statistical modelling, testing, data mining, and data science techniques.
  • Has used modelling frameworks including Scikit-learn, PyTorch, and TensorFlow.
  • Highly proficient in Python and SQL (or any other querying language).
  • Has advanced Excel and PowerPoint skills.
  • Experience developing applications using React and FastAPI is a plus.
  • Experience developing AI-powered workflows or tools (e.g., LLM-based agents, automation pipelines) is a plus.
  • Strong logical and scientific approach to problem-solving.
  • Excellent organizational, analytical and problem-solving skills.
  • Ability to communicate complex results in a simple and concise manner at all levels within the organization.
  • Ability to excel in a fast-paced, startup-like environment.
  • Has experience building machine learning algorithms and implementing models in production.
  • Conceptual understanding of Hadoop and cloud computing like AWS.
  • Demonstrated participation on platforms like Kaggle is a plus.
  • Experience using Amazon Web services is a plus.
  • Experience with one or more of the following types of business analytics applications:
  • Sentiment Analysis and Topic Modelling.
  • Predictive Modelling.
  • Customer Segmentation / Profiling.
  • Designing & Implementing AI/LLM workflows, including prompt engineering.
  • Recommendation engines.

Thomson Reuters

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Where this listing comes from

From a public listing board (Unstop).

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