Applied Machine Learning Scientist - Zug, Schweiz - Thomson Reuters

Thomson Reuters
Thomson Reuters
Geprüftes Unternehmen
Zug, Schweiz

vor 1 Monat

Lena Schneider

Geschrieben von:

Lena Schneider

beBee Recruiter


Beschreibung
What does Thomson Reuters Labs do? We experiment, we build, we deliver.

We support the organization and our customers through applied research and the development of new products and technologies in close collaboration with the Product and Engineering teams.

TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.

In addition to this co-development and innovation, we also invest in long term research that can shape the future for our products and customers.


As an Applied Machine Learning Scientist in TR Labs, you will be part of a global interdisciplinary team of experts.

We hire specialists and generalists across a variety of AI research areas, as well as Engineering and Design, to drive the company's digital transformation.

TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

About the role

As an Applied Machine Learning Scientist, you will:


  • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
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Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will connect complex business requirements with development deliverables. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.
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Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate to improvement rapidly with a mindset for failing fast and learning continuously from data.
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Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

About you

  • Basic qualifications_
  • Master's or Bachelor's with a comparable level of experience (3+ years for Master's or 6+ years for Bachelor's) or PhD in a relevant discipline
  • Software engineering and / or data engineering skills for prototyping
  • Experience as a technical contributor in aspects of the following:
  • comfort in dealing with uncertainty and ambiguity in problem statements and paths to success
- executing the research and development with an iterative mindset and approach
- communication of progress and plans with varied stakeholders

  • Preferred qualifications_
  • 5+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry
  • Experience in a fastpaced, agile environments managing uncertainty and ambiguity
  • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment
  • Outstanding communication and datadriven decisionmaking collaboration with Product + Business Stakeholders
  • Diverse experiences across problem spaces, companies and cultures
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:


  • Technology:Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
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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.
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Wellbeing:Comprehensive benefit plans; flexible and supportive benefits for work-life balance: global minimum parental leave, 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.
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Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
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Learning & Development:LinkedIn Learning access; enterprise-wide company learning days, internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
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Social Impact:Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
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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 la

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