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Senior Data Scientist

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Work with low to minimum supervision to solve business problems using data and analytics

Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing

  • Build end-to-end data pipelines to process data at scale

  • Build machine learning, predictive and statistical models

  • Use natural language processing to extract insight from text

  • Design Tableau or Power BI dashboards and visualizations

  • Present results and data stories to stakeholders

From the employer’s posting
Work with low to minimum supervision to solve business problems using data and analytics
Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing
Build end to end data pipelines to handle and process data at scale
Build machine learning models and/or statistical solutions
Use Natural Language Processing to extract insight from text
Design visualizations and build dashboards in Tableau and/or PowerBI
Present results to stakeholders (and tell stories using data) using power point and/or dashboards

What you’ll bring

All qualifications

Core experience

  • At least 6 years of data science experience
  • Highly proficient in Python and SQL
  • Experience with Scikit-learn, PyTorch, Keras or NLTK
  • Experience with Tableau and/or Power BI
  • Experience with Amazon Web Services and SageMaker
Qualification wording
Must have a minimum of 6 years of experience working in the data science domain
Highly proficient in Python Highly proficient in SQL
Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK
Experience with Tableau and/or PowerBI
Has worked with Amazon Web Services and Sagemaker
Education & alternatives
- Consulting Experience with a premier consulting firm - Advanced degree in a quantitative field (ex. Master’s, PhD. #LI-VGA1

About Thomson Reuters

We serve professionals across legal, tax, accounting, compliance, government, and media.

In the employer’s words · Read in context

Apply at Thomson Reuters

Posting record

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Open 5 monthsWe first saw this posting 176 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 12, 2026176 days ago
Recorded sightings
189
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 176

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Thomson Reuters is hiring

19 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Power BI
  • SageMaker
  • Snowflake
  • Tableau
  • Keras
  • PyTorch
  • scikit-learn
Where the posting names them
- Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK - Highly proficient in Python - Highly proficient in SQL
- Highly proficient in Python - Highly proficient in SQL - Experience with Tableau and/or PowerBI
- Experience with Tableau and/or PowerBI - Has worked with Amazon Web Services and Sagemaker - Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica
- Segmentation - Familiar with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake - Proficient in machine learning, statistical modelling, and data science techniques
- Design database models (if a data mart or operational data store is required to aggregate data for modeling) - Design visualizations and build dashboards in Tableau and/or PowerBI - Extract business insights from the data and models
- Highly proficient in SQL - Experience with Tableau and/or PowerBI - Has worked with Amazon Web Services and Sagemaker
- Degree preferred in a quantitative field (Computer Science, Statistics, etc. - Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK - Highly proficient in Python

Your next step

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Has Thomson Reuters posted this job before?

Yes. We’ve followed one other Senior Data Scientist job there since May 2026. It came down after 28 days.

  1. KarnatakaCame down after 28 days, first seen May 12
  2. This jobUp 177 days so far, first seen May 12

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Data scientist.  Work with stakeholders to build end to end data pipelines, ML based models and conduct business analysis.

About the Role:

  • Work with low to minimum supervision to solve business problems using data and analytics

  • Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing

  • Work with various business stakeholders, to understand and document requirements

  • Design an analytical framework to provide insights into a business problem

  • Explore and visualize multiple data sets to understand data available for problem solving

  • Build end to end data pipelines to handle and process data at scale

  • Build machine learning models and/or statistical solutions

  • Build predictive models

  • Use Natural Language Processing to extract insight from text

  • Design database models (if a data mart or operational data store is required to aggregate data for modeling)

  • Design visualizations and build dashboards in Tableau and/or PowerBI

  • Extract business insights from the data and models

  • Present results to stakeholders (and tell stories using data) using power point and/or dashboards

  • Work collaboratively with other team members

About You:

  • Must have a minimum of 6 years of experience working in the data science domain

  • Degree preferred in a quantitative field (Computer Science, Statistics, etc.

  • Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK

  • Highly proficient in Python

  • Highly proficient in SQL

  • Experience with Tableau and/or PowerBI

  • Has worked with Amazon Web Services and Sagemaker

  • Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica

  • Experience with one or more of the following types of business analytics applications:

  • Predictive analytics for customer retention, cross sales and new customer acquisition

  • Pricing optimization models

  • Segmentation

  • Familiar with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake

  • Proficient in machine learning, statistical modelling, and data science techniques

  • Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations

  • 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

  • Consulting Experience with a premier consulting firm

  • Advanced degree in a quantitative field (ex. Master’s, PhD.                                                                                

#LI-VGA1


What’s in it For You?

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

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Location & working pattern

India, Bengaluru, Karnataka

What’s in it For You? - Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected. - Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
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