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?qū)I(yè)信息分析服務(wù)商，總部位于英國(guó)倫敦，面向科技和醫(yī)學(xué)、風(fēng)險(xiǎn)與商業(yè)分析、法律和會(huì)展領(lǐng)域的專(zhuān)業(yè)及商業(yè)客戶提供服務(wù)。 2022年，勵(lì)訊集團(tuán)全年?duì)I收85億英鎊，市場(chǎng)總值約為484億英鎊。 我們?cè)谌驌碛谐^(guò)35,000名員工，在40多個(gè)國(guó)家和地區(qū)設(shè)立辦事機(jī)構(gòu)，為180多個(gè)國(guó)家和地區(qū)的客戶提供專(zhuān)業(yè)服務(wù)。 2022年，在環(huán)境、社會(huì)和公司治理（ESG）方面，勵(lì)訊集團(tuán)連續(xù)第七年在摩根士丹利資本國(guó)際公司(MSCI)保持其AAA的ESG評(píng)級(jí)；在Sustainalytics公司的 ESG風(fēng)險(xiǎn)評(píng)估中位于同行業(yè)前列。旗下公司：Elsevier - 專(zhuān)注科學(xué)、技術(shù)和醫(yī)學(xué)業(yè)務(wù) 愛(ài)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(gè)國(guó)家的客戶提供服務(wù)。自2001年正式進(jìn)入中國(guó)以來(lái)，愛(ài)思唯爾在中國(guó)不斷穩(wěn)步發(fā)展，為中國(guó)科研和醫(yī)療持續(xù)提供支持與服務(wù)。 通過(guò)將高質(zhì)量信息和數(shù)據(jù)集與分析工具相結(jié)合，愛(ài)思唯爾幫助研究人員和醫(yī)療保健專(zhuān)業(yè)人員推動(dòng)科學(xué)發(fā)展并改善醫(yī)療成果，支持有洞察力的及關(guān)鍵的決策制定。旗下期刊：?創(chuàng)刊于1823年的The Lancet（《柳葉刀》）?Cell Press（細(xì)胞出版社）的2旗艦刊物之一Cell（《細(xì)胞》）?42000種電子書(shū)籍以及諸多經(jīng)典參考書(shū)，如Gray's Anatomy（《格氏解剖學(xué)》）旗下產(chǎn)品：?SciVal 是一個(gè)基于網(wǎng)絡(luò)的分析解決方案，提供針對(duì)全球?qū)W術(shù)界、業(yè)界和政府部門(mén)研究機(jī)構(gòu)的研究表現(xiàn)洞察。?Scopus 是一個(gè)專(zhuān)業(yè)的摘要和索引數(shù)據(jù)庫(kù)，其內(nèi)容來(lái)自7,000多家出版商的2.7萬(wàn)多本期刊，幫助研究人員跟蹤和發(fā)現(xiàn)各個(gè)研究領(lǐng)域的全球進(jìn)展。?ScienceDirect 是全球廣泛使用的經(jīng)同行評(píng)議的科學(xué)與醫(yī)學(xué)研究原文數(shù)據(jù)庫(kù)，擁有來(lái)自4,600多本期刊和4.5萬(wàn)多本電子書(shū)的2000多萬(wàn)篇文章，每月的獨(dú)立訪問(wèn)者總數(shù)高達(dá)1800多萬(wàn)。?ClinicalKey 是愛(ài)思唯爾旗艦臨床醫(yī)學(xué)參考數(shù)據(jù)平臺(tái)，為90多個(gè)國(guó)家和地區(qū)的5,000多家機(jī)構(gòu)的醫(yī)生、護(hù)士、醫(yī)學(xué)生和教育工作者提供服務(wù)。?Reaxys 是愛(ài)思唯爾的化學(xué)研究平臺(tái)，涵蓋2.6億種物質(zhì)和6100萬(wàn)個(gè)反應(yīng)的數(shù)據(jù)，收錄了1.03億份文件和3700萬(wàn)項(xiàng)專(zhuān)利。?Sherpath 是一個(gè)適應(yīng)性的教學(xué)和學(xué)習(xí)解決方案，在600多個(gè)機(jī)構(gòu)提供個(gè)性化的學(xué)習(xí)路徑，支持了20多萬(wàn)例課程注冊(cè)。旗下公司：LexisNexis - 專(zhuān)注法律業(yè)務(wù) LexisNexis? Legal & Professional 總部位于紐約，在全球擁有 11,300 名員工，為 150 多個(gè)國(guó)家的客戶提供服務(wù)。 提供法律、知識(shí)產(chǎn)權(quán)、監(jiān)管和商業(yè)信息和分析洞察，幫助客戶提高生產(chǎn)力、改進(jìn)決策并取得更好的成果。旗下產(chǎn)品：?PatentSight 數(shù)據(jù)庫(kù)對(duì)來(lái)自100多個(gè)國(guó)家的超過(guò)1.44億份專(zhuān)利文件，進(jìn)行了創(chuàng)新實(shí)力評(píng)級(jí)。?LexisNexis 的數(shù)據(jù)庫(kù)包括超過(guò)2.93億份法庭摘要和文件，超過(guò)1.59億份專(zhuān)利文件，425萬(wàn)份（美國(guó)）州審判令，以及145萬(wàn)份陪審團(tuán)裁決與和解文件。?2022年，Law360 發(fā)布了5.5萬(wàn)多篇新聞和分析文章。?自2016年以來(lái)，法律分析工具 Lex Machina 已經(jīng)規(guī)范了超過(guò)1.02億次的律師名稱(chēng)和超過(guò)5400萬(wàn)次當(dāng)事人名稱(chēng)。旗下公司：LexisNexis Risk Solutions - 專(zhuān)注風(fēng)險(xiǎn)業(yè)務(wù) LexisNexis Risk Solutions 總部位于美國(guó)佐治亞州阿爾法利塔，在全球擁有約 10,800 名員工，為 180 多個(gè)國(guó)家的客戶提供服務(wù)。 風(fēng)險(xiǎn)業(yè)務(wù)將公共和行業(yè)特定內(nèi)容與先進(jìn)的技術(shù)和算法相結(jié)合，為客戶提供基于信息的分析和決策工具，幫助客戶評(píng)估和預(yù)測(cè)風(fēng)險(xiǎn)，并提高運(yùn)營(yíng)效率。旗下品牌：?ICIS 是全球獨(dú)立的大宗市場(chǎng)信息服務(wù)商。我們連接數(shù)據(jù)、市場(chǎng)和客戶，全面展示全球大宗品市場(chǎng)全貌，主力客戶定制最為睿智的商業(yè)決策，最終實(shí)現(xiàn)全球資源的優(yōu)化配置。?Cirium 實(shí)時(shí)追蹤全球99%的航班，并為全球排名前100的大多數(shù)航空公司提供服務(wù)，這些公司的客運(yùn)總量占2022年全球航空客運(yùn)量的90%以上。旗下公司：RX - 專(zhuān)注展覽業(yè)務(wù) 我們的展覽會(huì)綜合利用行業(yè)專(zhuān)業(yè)知識(shí)、大型數(shù)據(jù)集和技術(shù)手段，使我們的客戶能夠通過(guò)面對(duì)面或數(shù)字化的方式建立業(yè)務(wù)，幫助客戶創(chuàng)造數(shù)十億美元的收入，為當(dāng)?shù)厥袌?chǎng)和世界各地國(guó)家的經(jīng)濟(jì)發(fā)展做出貢獻(xiàn)。