Data Scientist
AI in this role
Would you like to be part of an exciting journey that is shaping the way businesses and industry are using data? Are you excited by the prospect of analysing data and finding hidden trends and meaning from it? Do you want to be on the cutting edge of analytics, leveraging predictive models and machine learning to drive business impact?
About the role
In this opportunity as a Data Scientist, you will:
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 need be, tackle ambiguous problems with maturity
About you
You're a fit for the role of Data Scientist if your background includes:
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
#LI-NG1
What’s in it For You?
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.
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.
How we rate this
Data Scientist at Thomson Reuters rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- What's a project where you used scikit-learn hands-on?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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