الوصف الوظيفي
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 RoleTake the initiative to tackle new business problems and have the curiosity to explore large volumes of dataSeamlessly work with various business stakeholders, understand their individual needs and design custom solutionsHave the curiosity to interrogate data, conduct independent research, utilize various techniques to analyze it and, if need be, tackle ambiguous problems with maturityIs 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 managementWork well within a team and collaborate with colleagues across domains and geographiesLearn the business quicklyAbout YouThe skills that will make you successful are:Knowledge of advanced statistical modelling, testing, data mining, and data science techniquesHas used modelling frameworks including Scikit-learn, PyTorch, and TensorFlowHighly proficient in Python and SQL (or any other querying language)Has advanced Excel and PowerPoint skillsExperience with Tableau and other data visualization tools would be great (but not necessary for the role)Strong logical and scientific approach to problem-solvingExcellent organizational, analytical and problem-solving skillsAbility to communicate complex results in a simple and concise manner at all levels within the organizationAbility to excel in a fast-paced, startup-like environmentMust have at least 3-5 years of experience working in the data science domainHas experience building machine learning algorithms and implementing models in productionProficient at using Python or any other leading software/languagesKnowledge of querying languages like T-SQL and relational databasesConceptual understanding of Hadoop and cloud computing like AWSDemonstrated participation on platforms like Kaggle is a plusPrevious experience working on sales and marketing data is a plusExperience using Amazon Web services is a plusExperience with one or more of the following types of business analytics applications:Sentiment Analysis and Topic ModellingCustomer Segmentation / ProfilingRecommendation engines#LI-NG1What'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 connectedWellbeing: 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.Protect yourself from fraudulent job postings click here to know more.More information about Thomson Reuters can be found on https://thomsonreuters.com.
