Data Scientist

Thomson Reuters

. Build digital solutions for HR processes and workflows, People Analytics products, and related tools using React front-end and FastAPI backend architectures .

Posted 10/23/2026full-timeBengaluru • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in building digital solutions for HR processes using React and FastAPI, with strong expertise in data science techniques, machine learning model development, and data analysis. Capable of designing AI-powered workflows and effectively communicating complex results to stakeholders.

Highest-signal resume keywords

Python ProgrammingMachine Learning Model DevelopmentData Science TechniquesReact Application DevelopmentFastAPI Backend Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningStatistical ModellingScikit-learnPyTorchTensorFlowSQLPredictive ModellingSentiment AnalysisTopic ModellingRecommendation Engines

Soft Skills

Problem-SolvingAnalytical SkillsOrganizational SkillsCommunication Skills

Tools & Technologies

SnowflakeExcelPowerPointAWSHadoop

Industry Keywords

People AnalyticsAI WorkflowsLLM-Based SolutionsCustomer SegmentationAutomation Pipelines

Tech Stack

Tools & technologies

AWSCloudHadoopPythonPyTorchReactScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Build digital solutions for HR processes and workflows, People Analytics products, and related tools using React front-end and FastAPI backend architectures
Design and maintain backend data systems with hands-on Snowflake work
Build LLM-based workflows and Agentic AI solutions for HR and People Analytics use cases
Tackle new business problems and explore large volumes of data
Work with business stakeholders to understand needs and design custom solutions
Interrogate data and conduct independent research
Apply analytical techniques to ambiguous problems
Develop and implement machine learning models in production

Requirements

What you’ll need

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
Experience with Scikit-learn, PyTorch, and TensorFlow modelling frameworks
Highly proficient in Python and SQL or another querying language
Advanced Excel and PowerPoint skills
Experience developing applications using React and FastAPI is a plus
Experience developing AI-powered workflows or tools, such as LLM-based agents and 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 simply and concisely at all organizational levels
Ability to excel in a fast-paced, startup-like environment
Experience building machine learning algorithms and implementing models in production
Conceptual understanding of Hadoop and cloud computing such as AWS
Demonstrated participation on platforms like Kaggle is a plus
Experience using Amazon Web Services is a plus
Experience with sentiment analysis and topic modelling
Experience with predictive modelling
Experience with customer segmentation/profiling
Experience designing and implementing AI/LLM workflows, including prompt engineering
Experience with recommendation engines

Benefits

Comp & perks

Flexible hybrid working environment for office-based roles
Flexible work arrangements, including work from anywhere for up to 8 weeks per year
Continuous learning and skill development through Grow My Way programming
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Opportunities to participate in pro-bono consulting projects and ESG initiatives
Reasonable accommodations for qualified individuals with disabilities and sincerely held religious beliefs