Are you passionate about data and eager to make a significant impact? We are seeking a highly motivated Data Scientist with strong organizational and technical skills. In this role, you will leverage predictive models, machine learning, and generative AI to drive business insights and facilitate informed decision-making. Your contributions will help Thomson Reuters rapidly scale data-driven initiatives and create more revenue opportunities for our segment stakeholders. If you're excited about working on the cutting edge of analytics, apply now and be part of our innovative journey!
Shift Timing - 12:00 PM - 9:00 PM
Hybrid Work Model: Work from Office Twice a week
About the Role:
Engage with stakeholders, business analysts and project team to understand the data requirements.
Work in multiple business domain areas including Sales and Marketing, Finance, Customer Service etc.
Design analytical frameworks to provide insights into a business problem.
Explore and visualize multiple data sets to understand data available and prepare data for problem solving.
Build machine learning models and/or statistical solutions.
Build predictive models, generative AI solutions.
Extract business insights from the data and models.
Present results to stakeholders (and tell stories using data) using power point and/or dashboards.
About You:
Must have at least 2-4 years of experience working in the data science domain
Bachelors’ and/or Masters in from any stream (background in quantitative fields like Computer Science, Data Science, Artificial Intelligence etc.
Excellent organizational, analytical and problem-solving skills
Ability to communicate complex results in a simple and concise manner at all levels within the organization
Should be flexible and adaptable to meet and learn the changing demands of the business and projects. Good sense of humor, emotional maturity and the ability to work well under pressure
Excellent presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations.
Highly Proficient at using Python and SQL and should have knowledge of relational databases
Practical experience with modern classification algorithms such as XGBoost, LightGBM, AdaBoost and others.
Has experience building machine learning algorithms and implementing models in production
Experience building Generative AI solutions using Large Language Models and AI Agents.
Hands on with Prompt Engineering
Demonstrated participation on platforms like Kaggle is a plus
Previous experience working on sales and marketing data is a plus
Experience with Tableau and other data visualization tools would be great
Experience with Amazon Web services and SageMaker
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
Recommendation engines
POC’s in building Generative AI solutions (GPT, Llama etc.)
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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.