Do you like big data / Artificial Intelligence / emerging technologies? How do you feel about skunk works?
Thomson Reuters Labs, Singapore is located in the heart of Singapore’s Central Business District and leverages the vibrant innovation and FinTech ecosystem in Singapore to drive experimentation and fuel collaborative projects across Asia. (More info at labs.tr.com)
What do we do? We experiment. We play with big data sets to discover what new products, services, or analysis we can create for our customers
You might be familiar with Reuters News, but you might not know that Thomson Reuters is also one of the leading sources of information for the world’s top companies in finance, risk, legal, tax and accounting, intellectual property and science, and media. The best part? We have data. Lots and lots of data. Over 60,000 TBs worth of data. That’s about 20,000 times more data than exists in Wikipedia.
Come tinker along with us.
Learn from Data Scientists in our global labs in Waterloo, Boston, London, Zurich, San Francisco and Cape Town. Pick the brains of PhD’s and Masters grads with experience in big data, statistics, machine learning, natural language processing, artificial intelligence, and data visualization.
Thomson Reuters Labs – Singapore operates like a start-up within a large corporate. We partner with internal teams, external customers, and third parties, such as start-ups and academics, creating rapid prototypes and data-driven innovations that land in the hands of real users in just a few short weeks.
We are currently seeking a passionate Data Scientist with an entrepreneurial spirit to join our core team in Singapore. You are outspoken, driven and curious, capable of building data-driven insights that address complex current and future business problems. In this role, you will demonstrate the art of the possible and have significant and direct impact on our company's products. You will talk data and tech and build external and internal relationships with technology and business leaders.
Master’s Degree or PhD in relevant technical field, such as computer science, statistics, finance, applied mathematics, or a related discipline.
3+ years of industry or academic experience in data mining and analytics.
Demonstrated ability to effectively engage with business and technology stakeholders.
Experience producing and rapidly delivering minimum viable products.
Experience in one or more of:
text mining or data mining
Experience working with programming and scripting languages such as:
Experience with relational, NoSQL, or Graph databases.
Big data analytics or visualization (Hadoop, Hive, NoSQL, Spark, Shark, Hive, Mahout, Impala, Solr, HBase, Pig, Cascading, Elastic Search, Tableau, D3)
Understanding of Buy side, Sell Side – front office, middle office and back office operations.
At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With more than 45,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.
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 country or local law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.