Machine Learning & Applied Research Scientist Full-time

About the Role

• Familiarizing and adopting work methodology aligning with the existing ACoE organization.
• Contributing to the Solutioning/POCs for key initiatives already in-flight
• Applying modern development practices in the delivering POC’s/prototypes in intelligent Automation technologies.
• Make sure ACoE continues to delivery intelligent automation capabilities on-prem and cloud adding decision and conversational intelligence
• Become a key member of a high performing team that can take ownership of innovative projects from inception to delivery.
• Proactively look for and explore opportunities where ACoE can improve the status quo or generate new business value
• Drive data and analytics through insights, reporting, and predictive models that support finance strategy and ensure proper implementation of analytics driven decision via various automation techniques.
• Implement NLP where applicable and complete the use cases as per requirements.
• Having experience in implementing chatbot functionality.
• Connect to Database and integrate the code with the visualization tools by enabling interaction with database/bot/Power BI
• Create technical documentation for reference and reporting
• Develop intuitive software that meets and exceeds the needs of the company
• Experience working with SAP (ERP), SFDC, Microsoft Office preferred
• Have led a team of junior developers to guide/mentor them on best practices of RPA solution
• Owned review of production ready deliverables.
• Relevant experience/awareness in Python, Chatbots, OCR, ML and AI techniques
• Experience in creating workflows, storyboards, user flows, process flows and site maps.
• Knowledge of frameworks/systems like AngularJS, Git and more
• Experience in Power BI or any visualizations tools is preferrece

About You

• Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems.
• 3 to 5 years of experience.
• Demonstrate experience designing cloud-native applications in AWS – particularly those involving ML models.
• Have hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
• Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
• Can understand and translate between language and methodologies used both in research and engineering fields.
• Have been successfully taking and integrating Machine Learning solutions to production-grade software.

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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.