Do you want to help us build further data science capabilities?And are you eager to work on the quality of data sources serving our end-user products?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 RoleAs a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members.ResponsibilitiesWorking closely with other data scientists and engineers to design, develop, and deploy AI solutions.Leading the development of advanced AI and machine learning models to solve complex business problems.Analyzing large datasets to identify patterns and trends that can inform AI development.Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.Evaluating and creating new frameworks and defining methodologies and governance.Mentoring junior data scientists and provide guidance on AI and machine learning best practices.Working with product leaders to apply data science solutions.Leading small- to medium-sized teams (direct or indirect).RequirementsPossess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.Possess advanced programming skills in Python, R, or other relevant languages for data analysis.Work in a way that works for youWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being 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 productive.Working for youWe know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:Retirement Benefits: 401(k) with match and an Employee Share Purchase PlanWellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off ProgramsShort-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital IndemnityFamily Benefits, including bonding and family care leaves, adoption, and surrogacy benefitsHealth Savings, Health Care, Dependent Care and Commuter Spending AccountsUp to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choiceAbout 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.Salary RangeTo be added when data can be disclosedLexisNexis, a division of RELX Group, is 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. 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 Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.RELX is a global provider of information and analytics for professional and business customers across industries.We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.In short, we enable our customers to make better decisions, get better results and be more productive.#J-18808-Ljbffrby Jobble

Lead Data Scientist - Cardiff - Hybrid Working About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, <a>risk.lexisnexis.com</a> About our Team: You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: This a Lead Data Scientist to manage a small team of data scientists. You will lead discussions with stakeholders on the requirements, deliverables, and prioritisation of projects. The role will balance supporting junior data scientists, shaping the future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling / scoring techniques. Responsibilities<ul><li>Managing a small team of data scientists building credit and fraud risk predictive models and other analytical product features</li><li>Assigning and managing projects via Agile project management tools.</li><li>Working with product owners to plan, track and deliver new analytical product features.</li><li>Developing and maintaining new frameworks, methodologies, and governance to support our strategic objectives.</li><li>Guiding stakeholders about our data science processes and requirements, ensuring that collaboration with other business teams runs smoothly.</li><li>Supporting senior leaders to shape and deliver our data science strategy.</li><li>Running analytical research projects and building predictive risk models as required.</li></ul> Requirements<ul><li>Experience of leading junior data scientists, either via direct line management or peer coaching.</li><li>Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences</li><li>Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders</li><li>Have expertise in data science and/or statistical analyses with experience of building advanced models.</li><li>Experience of coding languages used in the data science field (e.g. R, Python, SQL).</li><li>Experience of working with product development teams</li></ul> LexisNexis Risk Solutions is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Data Scientist - Cardiff, Wales. Hybrid About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, <a>risk.lexisnexis.com</a> About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science group. Responsibilities<ul><li> Building and testing credit and fraud risk statistical models to be used by existing and new customers</li><li>Providing complex analytical results in clear, simple messaging to evidence the value provided by our products</li><li>Following modelling best practices and provide feedback on ways to enhance current processes</li><li>Providing technical support and be a resource to internal partners in Product, Technology and Marketing teams</li><li>Researching new technologies and bring forward new ideas to the group</li><li>Supporting and help to shape our data science strategy</li></ul> Requirements<ul><li>Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Master's Degree</li><li>Be able to demonstrable experience or knowledge of applied modelling and analytics experience in applicable industry</li><li>Have good understanding of statistical methods applied to data analysis</li><li>Have user experience of R, Python or equivalent analytic software.</li><li>Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques</li><li>Have good written communication skills, including the ability to describe statistical results to non-statistical audiences.</li><li>Experience processing large data sets and matching/merging multiple data sets.</li></ul> LexisNexis Risk Solutions is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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