Summary: 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 analyzing 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? Then this opportunity is for you ! The ideal candidate is someone who can: 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 Have the curiosity to interrogate data, conduct independent research, utilize various techniques to analyze it and, if need be, tackle ambiguous problems with maturity Is firmly grounded in their understanding of statistical concepts and machine learning necessary to build various models, algorithms etc. Is technically strong to design solutions and reports for management Work well within a team and collaborate with colleagues across domains and geographies Learn the business quickly The skills that will make you successful are: Knowledge of advanced statistical modelling, testing, data mining, and data science techniques Has used modeling 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 with Tableau and other data visualization tools would be great (but not necessary for the role) 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 Ideal candidate profile: Must have at least 1-3 years of experience working in the data science domain Has experience building machine learning algorithms and implementing models in production Proficient at using Python or any other leading software/languages Knowledge of querying languages like T-SQL and relational databases Conceptual understanding of Hadoop and cloud computing like AWS Demonstrated participation on platforms like Kaggle is a plus Previous experience working on sales and marketing data 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 Customer Segmentation / Profiling Recommendation engines Required Skills and Education: Graduate degree in a STEM field Excellent communication skills Flexible and able to meet and learn the changing demands of the business and projects Excellent communications skills and has the right attitude/personality of a team player A demonstrable ability to assimilate new information thoroughly and quickly Good sense of humor, emotional maturity and the ability to work well under pressure Practical experience with the use of machine learning for business #LI-NG1 En Thomson Reuters creemos que lo que hacemos importa. Nos apasiona nuestro trabajo , inspirados por el impacto que tiene en nuestro negocio y en nuestros clientes. Como equipo , creemos en ganar como uno solo; colaborando para alcanzar objetivos compartidos y desarrollando experiencias desafiantes y significativas . Con más de 25.000 empleados en más de 100 paises , trabajamos con flexibilidad a través de las fronteras y realizamos innovaciones que ayudan a dar forma a las industrias de todo el mundo . Hacer que esto suceda es un proceso dinámico y en evolución; contamos con que cada empleado sea un catalizador para impulsar nuestro desempeño y el suyo propio. Como empresa global , confiamos en la diversidad cultural y pensamos en cumplir nuestros objetivos. Para asegurarnos que podemos hacerlo, buscamos talentos, empleados calificados en todas nuestras operaciones alrededor del mundo, independientemente de la raza , color , sexo, identidad y expresión de género , nacionalidad , religión , orientación sexual , discapacidad , edad , estado civil , y/o cualquier otra clasificación protegida según la ley aplicable. Thomson Reuters se enorgullece por ser un empleador con igualdad de oportunidades de empleo/acción, que ofrece un lugar de trabajo libre de drogas . También hacemos adaptaciones razonables para personas calificadas con discapacidades y para creencias religionas sinceras de acuerdo a la ley aplicableble. Protégete de ofertas de trabajo fraudulentas haz click aquí para más información. Podés encontrar más información sobre Thomson Reuters en thomsonreuters.com. Thomson Reuters proporciona a los profesionales la inteligencia , tecnologia y experiencia humana que necesitan para encontrar respuestas confiables . Permitimos que los profesionales de los mercados financieros y de riesgos , legales , fiscales , contables y de medios de comunicacion , tomen las decisiones más importantes , todo ello impulsado por la organizacion de noticas más confiable del mundo. Hear from one of our AI Experts, Shawn Malhotra, Thomson Reuters' Head of Engineering on the key components that go into innovating AI at Thomson Reuters.