Lead Data ScientistWould you like to be part of a team that delivers high-quality software to our customers?Do you enjoy ensuring the quality of software products delivered?About our TeamLexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.About the RoleThe Data Scientist role conduct experiments on large datasets to ****uate the feasibility, results, and performance of NLP& LLM (Large Language Model). This DS make sound engineering decisions and improve software development practices with an eye for performance and reliability.Responsibilities:?Data Analysis and Modeling: Perform advanced data analysis, modeling, and machine learning to develop predictive and pre****ive models that drive business outcomes.?Data Collection and Preparation: Collect, clean, and preprocess large datasets, ensuring data quality and reliability.?Machine Learning and AI: Develop and implement machine learning algorithms and AI solutions to solve complex business problems.?Data Visualization: Create informative and compelling data visualizations to communicate results and insights to stakeholders effectively.?Collaboration: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify opportunities and address business challenges.?Research and Innovation: Stay up-to-date with the latest trends and techniques in data science and contribute to the development of innovative solutions.?Model Deployment: Assist in the deployment of machine learning models into production environments.?Documentation: Maintain comprehensive documentation of projects, models, and code for knowledge sharing and reproducibility.Requirements: ?Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.?Proven experience (5-8 years) working in data science, machine learning, or AI, with a track record of delivering impactful projects.?Proficiency in programming languages such as Python, as well as relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).?Experience with generative AI models and techniques (e.g., LLMs, GANs) for content generation.?Expertise in **** engineering for fine-tuning language models like GPT-3.5 or similar models.?Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques.?Exceptional problem-solving skills and the ability to work independently and as part of a team.?Excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders.Work in a way that works for youWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productiveWorking for youWe know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:- Medical and Life Insurance: Coverage for Medical and life risk.- Long-Service Award: Recognition for loyalty and dedication.- Marriage and New Baby Gifts: Celebratory tokens for special life events.- Festivals and Birthday Gifts: Spreading joy on occasions that matter.- Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.- Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.- Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday - Family Care leave (Maternity/Paternity Leave and Adoption Leave)About the BusinessLexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

RELX是全球專業信息分析服務商，總部位于英國倫敦，面向科技和醫學、風險與商業分析、法律和會展領域的專業及商業客戶提供服務。 2022年，勵訊集團全年營收85億英鎊，市場總值約為484億英鎊。 我們在全球擁有超過35,000名員工，在40多個國家和地區設立辦事機構，為180多個國家和地區的客戶提供專業服務。 2022年，在環境、社會和公司治理（ESG）方面，勵訊集團連續第七年在摩根士丹利資本國際公司(MSCI)保持其AAA的ESG評級；在Sustainalytics公司的 ESG風險評估中位于同行業前列。旗下公司：Elsevier - 專注科學、技術和醫學業務 愛思唯爾總部位于阿姆斯特丹，在全球擁有約 9,500 名員工，為 180 多個國家的客戶提供服務。自2001年正式進入中國以來，愛思唯爾在中國不斷穩步發展，為中國科研和醫療持續提供支持與服務。 通過將高質量信息和數據集與分析工具相結合，愛思唯爾幫助研究人員和醫療保健專業人員推動科學發展并改善醫療成果，支持有洞察力的及關鍵的決策制定。旗下期刊：?創刊于1823年的The Lancet（《柳葉刀》）?Cell Press（細胞出版社）的2旗艦刊物之一Cell（《細胞》）?42000種電子書籍以及諸多經典參考書，如Gray's Anatomy（《格氏解剖學》）旗下產品：?SciVal 是一個基于網絡的分析解決方案，提供針對全球學術界、業界和政府部門研究機構的研究表現洞察。?Scopus 是一個專業的摘要和索引數據庫，其內容來自7,000多家出版商的2.7萬多本期刊，幫助研究人員跟蹤和發現各個研究領域的全球進展。?ScienceDirect 是全球廣泛使用的經同行評議的科學與醫學研究原文數據庫，擁有來自4,600多本期刊和4.5萬多本電子書的2000多萬篇文章，每月的獨立訪問者總數高達1800多萬。?ClinicalKey 是愛思唯爾旗艦臨床醫學參考數據平臺，為90多個國家和地區的5,000多家機構的醫生、護士、醫學生和教育工作者提供服務。?Reaxys 是愛思唯爾的化學研究平臺，涵蓋2.6億種物質和6100萬個反應的數據，收錄了1.03億份文件和3700萬項專利。?Sherpath 是一個適應性的教學和學習解決方案，在600多個機構提供個性化的學習路徑，支持了20多萬例課程注冊。旗下公司：LexisNexis - 專注法律業務 LexisNexis? Legal & Professional 總部位于紐約，在全球擁有 11,300 名員工，為 150 多個國家的客戶提供服務。 提供法律、知識產權、監管和商業信息和分析洞察，幫助客戶提高生產力、改進決策并取得更好的成果。旗下產品：?PatentSight 數據庫對來自100多個國家的超過1.44億份專利文件，進行了創新實力評級。?LexisNexis 的數據庫包括超過2.93億份法庭摘要和文件，超過1.59億份專利文件，425萬份（美國）州審判令，以及145萬份陪審團裁決與和解文件。?2022年，Law360 發布了5.5萬多篇新聞和分析文章。?自2016年以來，法律分析工具 Lex Machina 已經規范了超過1.02億次的律師名稱和超過5400萬次當事人名稱。旗下公司：LexisNexis Risk Solutions - 專注風險業務 LexisNexis Risk Solutions 總部位于美國佐治亞州阿爾法利塔，在全球擁有約 10,800 名員工，為 180 多個國家的客戶提供服務。 風險業務將公共和行業特定內容與先進的技術和算法相結合，為客戶提供基于信息的分析和決策工具，幫助客戶評估和預測風險，并提高運營效率。旗下品牌：?ICIS 是全球獨立的大宗市場信息服務商。我們連接數據、市場和客戶，全面展示全球大宗品市場全貌，主力客戶定制最為睿智的商業決策，最終實現全球資源的優化配置。?Cirium 實時追蹤全球99%的航班，并為全球排名前100的大多數航空公司提供服務，這些公司的客運總量占2022年全球航空客運量的90%以上。旗下公司：RX - 專注展覽業務 我們的展覽會綜合利用行業專業知識、大型數據集和技術手段，使我們的客戶能夠通過面對面或數字化的方式建立業務，幫助客戶創造數十億美元的收入，為當地市場和世界各地國家的經濟發展做出貢獻。