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Senior / Managing Research Scientist

SHL

地点
Thames Ditton, United Kingdom
发布日期
2026年10月6日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

Job Description Say yes to a better tomorrow! SHL, People Science. People Answers. Are you ready to take your career and expertise in people science to the next level? SHL is hiring for a Senior Scientist to join their team in the Americas! The Senior Scientist will be responsible for designing and prototyping next-generation assessments that combine rigorous psychometric measurement with modern, AI-enabled candidate experiences. Working cross-functionally with Product, Legal, and client-facing teams, this individual will transform assessment concepts into functional proofs of concept and serve as a subject-matter expert in psychometrics and AI/ML-based scoring. The position requires strong professional leadership, deep expertise in test development and validation standards, and a commitment to scientific rigor, high-quality documentation, and ethical best practices. The successful candidate will advance assessment innovation within practical commercial constraints while developing recognized expertise both within SHL and across the broader field. An excellent benefits package is offered in a culture where career development, with ongoing manager guidance, collaboration, flexibility, diversity and inclusivity are all intrinsic to our culture. There is a huge investment in SHL currently so there’s no better time to become a part of something transformational. Thames Ditton Office is preferred/ Open to Remote. Hybrid working is available All applicants must have the right to work. What You Will Be Doing Designing novel assessments and measurement concepts, including simulations, situational judgment tests, adaptive and game-based formats, and conversational/LLM-driven task typesBuilding working prototypes, taking measurement concepts to functional proofs-of-concept using modern AI tooling and agentic workflowsOwning psychometric quality across reliability, validity, and scoring, combining established psychometric theory with AI/ML scoring approaches to deliver accurate, robust, and explainable resultsBuilding fairness and legal defensibility into assessments from the design stage, maintaining current knowledge of relevant regulation (EEOC guidelines, SIOP best practices, EU AI Act, NYC Local Law 144, and emerging requirements) and applying it through development and audit processesTranslating measurement constructs and scoring models into assessment experiences that candidates find engaging and credible, balancing integrity and validity controls against candidate experienceRunning validation studies (criterion-related, content, and construct) and communicating findings to technical and non-technical audiencesPartnering across Product, Engineering, Legal, and client-facing teams to advance prototypes toward production-ready solutionsMonitoring advances in AI/ML and psychometrics, distinguishing genuine measurement value from novelty, and bringing relevant developments into practice responsibly What we are looking for from you: Essential Master’s or PhD in Industrial-Organizational Psychology, Psychometrics, Quantitative Psychology, Data Science or a closely related field5+ years of post-graduate experience designing, developing, or validating assessments used in organizational decision-makingDemonstrated experience leading innovation in assessment design or applied research, evidenced through published work, technical reports, conference presence, or leading-edge project workStrong applied psychometrics, including CTT and/or IRT, reliability and validity evidence, factor analysis, and statistical modelingHands-on technical proficiency in Python and/or R, and demonstrated fluency with current AI tools, including LLM APIs, prompt design, and modern prototyping workflowsWorking knowledge of the legal and professional landscape governing selection, including the Uniform Guidelines, SIOP Principles, the Standards for Educational and Psychological Testing, and the evolving regulatory landscape for AI in hiringDemonstrated ability to communicate measurement concepts clearly to mixed technical and non-technical audiences Desirable: PhD in a relevant disciplineStrong applied psychometrics, including CTT and/or IRT, reliability and validity evidence, factor analysis, and statistical modelingFront-end or interactive prototyping experienceA record of published or applied research in assessment, measurement, or selection Closing Date: October 5 th , 2026 – Posting may close sooner depending on applicant volume. Get In Touch Find out how this one-off opportunity can help you to achieve your career goals by making an application to our knowledgeable and friendly Talent Acquisition team. Choose a new path with SHL. About Us We unlock the possibilities of businesses through the power of people, science and technology.We started this industry of people insight more than 40 years ago and continue to lead the market with powerhouse product launches, ground-breaking science and business transformation.When you inspire and transform people’s lives, you will experience the greatest business outcomes possible. SHL’s products insights, experiences, and services can help achieve growth at scale. What SHL Can Offer You Diversity, equity, inclusion and accessibility are key threads in the fabric of SHL’s business and culture (find out more about DEI and accessibility at SHL ) Employee benefits package that takes care of you and your family.Support, coaching, and on-the-job development to achieve career successA fun and flexible workplace where you’ll be inspired to do your best work (find out more LifeAtSHL )The ability to transform workplaces around the world for others. SHL is an equal opportunity employer. We support and encourage applications from a diverse range of candidates. We can, and do make adjustments to make sure our recruitment process is as inclusive as possible.

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职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

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