nlp scientist

RELX Group

<div></div><div><div>Data Scientist III</div><div>
Are you interested in working with data Engineers and analytics to solve problems?</div><div>
Are you interested in bringing and building up your NLP and (gen) AI expertise to projects?</div><div></div><div>
About our team:</div><div>
At Elsevier, we help the world of research to make high-value decisions with confidence through a rich portfolio of services and products such as Scopus, Pure, and Scala. The high-quality connected data and insights that these products provide come from our Research Data Platform (RDP), the data powerhouse of Elsevier&rsquo;s analytics business. We are looking for a junior data scientist to join our RDP team and further advance our person disambiguation capabilities. In RDP, we are describing the world of scientific research as accurately as possible by profiling a wide range of entities, from People and Organizations to research artefacts such as Publications and Grants all the way to topics and concepts that characterize what research is about. Our entity-linking and disambiguation systems integrate data from a diverse set of sources that include millions of research articles to demonstrate market leading performance. The RDP team is large, full of talented people, and highly cross-functional and collaborative. As a data scientist, you will be working together with software engineers, analysts, product managers, and architects on selected areas of focus, and be part of the wider RDP Data Science team.</div><div></div><div>
About the Role:</div><div>
As a Data Scientist for the person domain, your focus will be on improving and measuring the quality of our person disambiguation methodology.</div><div>
You will work closely with our engineers, architects, product managers and other data scientists within the Person domain to continually improve person disambiguation algorithms and your base data will be millions of authors of scientific publications. With data quality being vital to Elsevier&rsquo;s success, there is a strong focus on measuring and improving data quality and coverage. At the same time, the increasingly large volume of data requires you to maintain and develop systems and models that scale well. We tackle some of the hardest data science challenges to solve pressing customer needs and we are looking for a talented, enthusiastic, and collaborative colleague to join our ranks.</div><div></div><div>
Responsibilities:-</div><ul><li><div>
You are passionate about the possibilities of creating value for customers by interconnecting data and improving the quality and richness of data at scale.</div></li><li><div>
You like to work with others as part of a multidisciplinary team to achieve a common goal, and you are eager to contribute and put your ideas across.</div></li><li><div>
Wiling to learn new things and come up with practical solutions to technical challenges.</div></li><li><div>
An interest in the data you&rsquo;re working with. Our data is largely text based.</div></li><li><div>
Hands-on experience developing (components of) large scale data science solutions.</div></li><li><div>
Preferably, a formal qualification in computer science, computational linguistics, data science, machine learning, or other quantitative disciplines.</div></li><li><div>
Demonstrable coding skills in Python.</div></li><li><div>
Knowledge of applying machine learning techniques.</div></li><li><div>
Experience working with data in files (e.g. csv or parquet)</div></li><li><div>
An understanding of statistics for the purpose of quantitative analysis.</div></li></ul><div>
Requirements:-</div><ul><li><div>
Experience with Databricks and/or Spark or Pandas</div></li><li><div>
Familiarity with tools such as Git or Jira</div></li><li><div>
Familiarity with agile methodologies</div></li><li><div>
Experience with NLP.</div></li><li><div>
Experience with databases</div></li></ul><div></div><div>
Work in a Way That Works for You:</div><div>
We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals.</div><div></div><div>
Working for You:</div><div>
We offer comprehensive benefits to support your health and well-being, including:</div><ul><li><div>
Health insurance for you and your family.</div></li><li><div>
Enhanced health insurance options at competitive rates.</div></li><li><div>
Group life insurance for financial security.</div></li><li><div>
Group accident insurance for protection against accidental death and permanent disability.</div></li><li><div>
Flexible working arrangements for work-life balance.</div></li><li><div>
Employee assistance programs for personal and work-related support.</div></li><li><div>
Medical screenings prioritize your well-being.</div></li><li><div>
Modern family benefits, including maternity, paternity, and adoption support.</div></li><li><div>
Long-service awards to recognize dedication.</div></li><li><div>
New baby gifts to celebrate parenthood.</div></li><li><div>
Subsidized meals at specific locations.</div></li><li><div>
Various paid time-off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays.</div></li><li><div>
Free transportation for home-office-home travel in select locations.</div></li></ul><div>
About Business:</div><div>
We are a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and creating a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world.</div><div></div><div><br>
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <div>Applicant Request Support Form</div> or please contact 1-855-833-5120.</div><div></div><div>
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <div>here</div>.</div><div></div><div>
Please read our <div>Candidate Privacy Policy</div>.</div><div></div><div>
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.</div><div></div><div><i>
USA Job Seekers:</i></div><div><div>
EEO Know Your Rights</div>.</div></div><div></div>

Data Scientist III

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Principal Scientist. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. You will be deploying AI/GenAI solutions to simplify acquisition of data and documents from &lsquo;000s of providers WW while maintaining trust. The structured data acquired is used in workflows from Personal Finance, Taxes and running businesses, thus powering prosperity around the world. Your job includes the following:</div><p><b><br>
Responsibilities</b></p><ul><li>Drives architecture decisions, influences and contributes to ML platform architecture and strategy</li><li>Creates a multi-year vision that connects product strategy with technology strategy</li><li>Practices excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization and the larger company</li><li>Leads team&rsquo;s work in one or more of ML, NLP, Statistics, or Optimization, and performs hands-on work in these domains.</li><li>Weighs ROI considerations of general and tailored capabilities for projects in the team</li><li>Creates new capabilities and technology shifts that solve critical business problems</li><li>Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends</li><li>Influences business leaders and architects around the company to shape mission-critical projects</li><li>Leads team and partners to the successful delivery and integration of ML solutions</li><li>Conducts design reviews, and holds teams to technical and operational rigor.</li><li>Acts as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community</li></ul><p><b><br>
Qualifications</b></p><ul><li>
PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field or equivalent work experience</li><li>
Solid knowledge of statistical techniques</li><li>
 3+ years as either a lead in a data science role or a management position in data science</li><li>
Strong communication skills and proven experience as an influencer at the executive level</li><li>
Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization</li><li>
6+ years&rsquo; experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)</li><li>
6+ years&rsquo; experience with a general-purpose programming language (e.g. Python, Scala, etc.)</li></ul><div><b>
Strongly Preferred:</b></div><ul><li>
 PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field</li><li>
Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization</li><li>
Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns</li><li>
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).</li><li>
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code</li><li>
Proven track record of influencing business leaders to shape mission-critical projects</li><li>
Proven track record of leading teams to successful delivery of ML solutions</li><li>
Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

Principal AI Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as an Applied Scientist.<br>
<br>
At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products.
<br>
<br>
As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon&rsquo;s global marketplaces around the world.
<br>
<br>
Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.<br>
<br>
Please visit https://www.amazon.science for more information<br>
<br>
<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.</li><li>Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.</li><li>Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.</li><li>Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.</li><li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.</li><li>Mentor and guide team of Applied Scientists from technical and project advancement stand point</li><li>Contribute research to science community and conference quality level papers.
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist II, Intl Seller Growth

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Principal Scientist. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. You will be deploying AI/GenAI solutions to simplify acquisition of data and documents from &lsquo;000s of providers WW while maintaining trust. The structured data acquired is used in workflows from Personal Finance, Taxes and running businesses, thus powering prosperity around the world. Your job includes the following:
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drives architecture decisions, influences and contributes to ML platform architecture and strategy
  </li>
  <li>
   Creates a multi-year vision that connects product strategy with technology strategy
  </li>
  <li>
   Practices excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization and the larger company
  </li>
  <li>
   Leads team&rsquo;s work in one or more of ML, NLP, Statistics, or Optimization, and performs hands-on work in these domains.
  </li>
  <li>
   Weighs ROI considerations of general and tailored capabilities for projects in the team
  </li>
  <li>
   Creates new capabilities and technology shifts that solve critical business problems
  </li>
  <li>
   Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
  </li>
  <li>
   Influences business leaders and architects around the company to shape mission-critical projects
  </li>
  <li>
   Leads team and partners to the successful delivery and integration of ML solutions
  </li>
  <li>
   Conducts design reviews, and holds teams to technical and operational rigor.
  </li>
  <li>
   Acts as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field or equivalent work experience
  </li>
  <li>
   Solid knowledge of statistical techniques
  </li>
  <li>
   3+ years as either a lead in a data science role or a management position in data science
  </li>
  <li>
   Strong communication skills and proven experience as an influencer at the executive level
  </li>
  <li>
   Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization
  </li>
  <li>
   6+ years&rsquo; experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
  </li>
  <li>
   6+ years&rsquo; experience with a general-purpose programming language (e.g. Python, Scala, etc.)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Strongly Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  </li>
  <li>
   Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization
  </li>
  <li>
   Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
  </li>
  <li>
   Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
  </li>
  <li>
   Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
  </li>
  <li>
   Proven track record of influencing business leaders to shape mission-critical projects
  </li>
  <li>
   Proven track record of leading teams to successful delivery of ML solutions
  </li>
  <li>
   Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
   <br/>
   <br/>
  </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>


Thomson Reuters

<div><p>A n experienced Lead Applied Scientists with a strong track record of delivering impactful ML/NLP work. Can own the science/research aspect of a small project and confidently interact with stakeholders/experts to define scope and deliverables. Can lead a small team of scientists working on the project and define sprints/tasks/milestones. Champions best practices/ways of working. Understands engineering/deployment aspects of ML. Needs to work on wider awareness and impact beyond individual projects and with other roles (engineers/designers).
</p><p></p><p>About the role
</p><ul><li>Provide granular scientific leadership, owning the research and development of ML/NLP models and pipelines from concept to delivery
</li><li>Lead small to large, complex projects, including defining scope, sprints, tasks, and milestones for a team of scientists
</li><li>Act as the technical lead and key point of reference on projects, ensuring high-quality research deliverables
</li><li>Translate customer and stakeholder needs into clear technical requirements, and work directly with cross-functional partners
</li><li>Contribute to long-term AI strategy by providing input to business stakeholders, mid&ndash;senior leadership, and Labs leadership
</li><li>Develop deep knowledge of TR customers and data infrastructure across multiple products to inform solution design and shared Labs capabilities
</li><li>Champion best practices, effective ways of working, and strong collaboration with engineering and design teams
</li></ul><p></p><p>About you
</p><ul><li>Experienced ML/NLP scientist with a strong track record of delivering impactful research and product outcomes.
</li><li>10+ years of Experience candidates with Strong focus on NLP and Machine Learning
</li><li>Able to independently own the science/research aspect of projects and confidently engage with stakeholders and subject-matter experts
</li><li>Demonstrated expertise through product deliverables, published research, and/or intellectual property in one or more relevant technical areas
</li><li>Proven ability to design novel ML/NLP approaches to complex business problems and contribute to broader research themes and capabilities
</li><li>Solid understanding of engineering and deployment aspects of ML solutions
</li><li>Recognized as a main technical point of reference and trusted advisor within project teams
</li><li>Committed mentor and coach, supporting individuals with varied ML/NLP experience and helping to grow the overall capability of the team.
</li></ul><p></p><p>#LI-AD1
</p><p></p><p><b>What&rsquo;s in it For You?
</b></p><div><div><div><div><ul><li><p><b>Hybrid Work Model: </b>We&rsquo;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.
</p></li><li><p><b>Flexibility &amp; Work-Life Balance: </b>Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
</p></li><li><p><b>Career Development and Growth: </b>By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
</p></li><li><p><b>Industry Competitive Benefits: </b>We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
</p></li><li><p><b>Culture: </b>Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
</p></li><li><p><b>Social Impact: </b>Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
</p></li><li><p><b>Making a Real-World Impact: </b>We are one of the few companies globally 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.
</p></li></ul></div></div></div></div><p></p><p><b>About Us
</b></p><p></p><p>Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
</p><p></p><p>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. 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.
</p><p></p><p>As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 Employer providing a drug-free workplace.
</p><p></p><p>We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here .
</p><p></p><p>Learn more on how to protect yourself from fraudulent job postings here .
</p><p></p><p>More information about Thomson Reuters can be found on thomsonreuters.com.</p></div>

Lead Applied Research Scientist - I

<div><p><b>Summary:
</b></p><p>Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs is seeking a ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.
</p><p></p><p><b>What does Thomson Reuters Labs do? </b>We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax &amp; Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long-term research for the future.
</p><p></p><p>As an <b>Applied Scientist Intern </b>, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company&rsquo;s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.
</p><p></p><p><b>About The Role:
</b></p><p>As an <b>Applied Scientist Intern, </b>you will:
</p><ul><li><p><b>Experiment and Develop </b>: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.
</p></li><li><p><b>Collaborate: </b>Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
</p></li><li><p><b>Innovate: </b>You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.
</p></li></ul><p></p><p><b>About You:
</b></p><p>You are a fit for the <b>Applied Scientist </b><b>Intern </b>role if your background includes some of the following:
</p><ul><li><p>Be currently enrolled in a PhD program relevant discipline or a Master&rsquo;s program with research experience.
</p></li><li><p>Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods, including Large Language Models.
</p></li><li><p>Have e xperience creating and evaluating experiments related to Machine Learning or Large Language Models.
</p></li><li><p>Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS)
</p></li><li><p>Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace.
</p></li><li><p>Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
</p></li><li><p>Have good communication skills and the ability to work collaboratively as part of a team.
</p></li></ul><p></p><p>This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!
</p><p></p><p><b>Opportunities For Our Applied Science Interns:
</b></p><ul><li><p><b>Learning &amp; Development </b>: On-the-job coaching &amp; learning as well as the opportunity to work with cutting-edge methods and technologies
</p></li><li><p><b>Data and High-Impact Problems </b>: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax &amp; Accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data
</p></li><li><p><b>Competitive Compensation: </b>The opportunity to earn while learning new skills
</p></li></ul><p></p><p>#LI-SS
</p><p></p><p><b>What&rsquo;s in it For You?
</b></p><ul><li><p><b>Flexibility &amp; Work-Life Balance: </b>Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our commitment of empowering employees to achieve a better work-life balance.
</p></li><li><p><b>Career Development and Growth: </b>By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
</p></li><li><p><b>Industry Competitive Benefits: </b>We offer comprehensive benefit plans to include paid leave, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
</p></li><li><p><b>Culture: </b>Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
</p></li><li><p><b>Social Impact: </b>Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
</p></li><li><p><b>Making a Real-World Impact: </b>We are one of the few companies globally 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.
</p></li></ul><p></p>Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.&amp;#xa;&amp;#xa;For any eligible US locations, unless otherwise noted, the base compensation hourly range for this role is $40 - $50/hr.&amp;#xa;Base pay is positioned within the range based on several factors including an individual&rsquo;s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.&amp;#xa;
<p></p><p><b>About Us
</b></p><p></p><p>Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
</p><p></p><p>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. 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.
</p><p></p><p>As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 Employer providing a drug-free workplace.
</p><p></p><p>Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
</p><p></p><p>Learn more on how to protect yourself from fraudulent job postings here.
</p><p></p><p>More information about Thomson Reuters can be found on thomsonreuters.com</p></div>

Applied Scientist Intern

<div><p><b>Senior Applied Research Scientist
</b><br>
<br>
Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.<br>
<br>
<br>
<br>
<b><i>About the Role:
</i></b><br>
<br>
Senior Applied Scientists are experts in Machine Learning / NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.
<br>
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<b><i>As a Senior Applied Scientist, you will:
</i></b></p><ul><li>Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation.
</li><li>Operate in an agile way, pushing for quick iterations guided by customers&rsquo; needs.
</li><li>Be accountable for all research deliverables on small to medium-sized projects
</li><li>Communicate research in peer-reviewed publications and develop patentable ideas ensuring competitiveness of the company&rsquo;s products and services.
</li><li>Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements.
</li>Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining.<br>
<li>
</li></ul><p><br>
<br>
<b><i>About You:
</i></b><br>
<br>
<b><i>You&rsquo;re a fit for the role of Senior Applied Scientist if your background includes:
</i></b></p><ul><li>PhD in a relevant discipline or Master&rsquo;s plus a comparable level of experience
</li><li>5+ years of hands-on experience building IR / NLP systems for commercial applications
</li><li>Experience writing production code and ensuring well-managed software delivery
</li><li>Demonstrable experience translating complex problems into successful AI applications
</li><li>Outstanding communication, problem-solving, and analysis skills
</li><li>Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback
</li>(Preferred) Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.<br>
<li>
</li></ul><p><br>
<br>
<br>
#LI-SM2
</p><p></p><p><b>What&rsquo;s in it For You?
</b></p><ul><li><p><b>Hybrid Work Model: </b>We&rsquo;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.
</p></li><li><p><b>Flexibility &amp; Work-Life Balance: </b>Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
</p></li><li><p><b>Career Development and Growth: </b>By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
</p></li><li><p><b>Industry Competitive Benefits: </b>We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
</p></li><li><p><b>Culture: </b>Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
</p></li><li><p><b>Social Impact: </b>Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
</p></li><li><p><b>Making a Real-World Impact: </b>We are one of the few companies globally 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.
</p></li></ul>In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&amp;D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption &amp; Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
<p></p>Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.&amp;#xa;&amp;#xa;For any eligible US locations, unless otherwise noted, the base compensation range for this role is $140,000 - $260,000.&amp;#xa;&amp;#xa;This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.&amp;#xa;Base pay is positioned within the range based on several factors including an individual&rsquo;s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.&amp;#xa;
<p></p><p><b>About Us
</b></p><p></p><p>Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
</p><p></p><p>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. 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.
</p><p></p><p>As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 Employer providing a drug-free workplace.
</p><p></p><p>Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here .
</p><p></p><p>Learn more on how to protect yourself from fraudulent job postings here .
</p><p></p><p>More information about Thomson Reuters can be found on thomsonreuters.com.</p></div><p></p>

Senior Applied Scientist – Research Products

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