GTM Analytics - Data Scientist

IND-BLR-Salarpuria Sattva Knowledge Court

Thomson Reuters

Thomson Reuters empowers professionals with cutting-edge technology solutions informed by industry-leading content and expertise.

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Job Summary:

As a Data Scientist within our Global Tax Technology organization, you will drive the integration of data science into our tax technology products and services. Collaborating closely with business partners, you will identify requirements, design experiments, develop models, evaluate performance, and implement solutions. This role involves engaging with various teams across the organization, including product management, development, QA, support, and external vendors.

About the role:

  • Apply statistical methods and machine learning algorithms to enhance complex systems and processes.
  • Utilize exploratory analysis techniques (e.g., regression, classification, clustering) to identify patterns within extensive datasets.
  • Construct predictive models (e.g., linear regression, decision trees, random forest) and assess their performance using metrics like accuracy, precision, and recall.
  • Conduct statistical tests to analyze datasets and identify significant differences between groups.
  • Communicate findings effectively through clear visualizations and reports.
  • Collaborate with cross-functional teams to align business objectives with analytical solutions.
  • Design and implement A/B testing strategies to measure the impact of interventions on key metrics.
  • Ensure timely and high-quality delivery of data science projects within scope.

About You:

  • Bachelor’s degree in computer science, statistics, or a related field.
  • 2+ years of experience in data science or applied mathematics.
  • Proficiency in SQL and experience working with large relational databases.
  • Familiarity with data warehousing concepts and dimensional data modeling.
  • Strong analytical skills with the ability to derive insights from complex datasets.
  • Experience developing machine learning models and evaluating their performance.
  • Proficiency in Python programming language.
  • Effective communication and presentation skills.
  • Passion for tackling complex challenges and creating business value through data.

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What's in it For You?


You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

  • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

  • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

  • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

  • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

  • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet 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.


Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

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 that celebrate diversity and inclusion. 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. 

Accessibility 

As a global business, we rely on diversity of culture and thought to deliver on our 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/Affirmative Action 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.

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing Classification Clustering Computer Science Data Warehousing Machine Learning Mathematics ML models Python RDBMS SQL Statistics Testing

Perks/benefits: Career development Flex hours Flex vacation Health care Startup environment

Region: Asia/Pacific
Country: India

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