Solutions Analyst About our team: LexisNexis Intellectual Property is committed to extracting value from patent data to enable companies and investors to make informed strategic decisions. We recognize the importance of intellectual property as a growing mainstream asset class and the role of patents in providing a window into who is leading technology innovation, where, and at what pace. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is transforming how actionable insights are extracted from patent data. Information can now be accessed with efficiency, accuracy, and at a speed that traditional methods simply cannot achieve . About the role: At LexisNexis Intellectual Property, we are committed to delivering high-quality solutions tailored to the specific needs of our customers. As a Solutions Analyst, you will be a key part of the Solutions and Consulting Team, responsible for designing and deploying custom classifiers across our growing customer base. You will collaborate closely with internal teams and customers and play a key part in all aspects of the delivery process from scoping support through to project delivery. The primary responsibility of this role will be the training of machine learning classifiers using patent data across a variety of technologies and industries. This supervised learning process is conducted using the proprietary LexisNexis Classification platform - no prior experience with machine learning techniques is required. This role follows a hybrid work model, requiring four days per month in the office Requirements: Early Focus Initially, you will focus on: \\+ Training supervised machine learning classifiers with curated patent data to enable automated patent tagging against specific technologies. \\+ Conducting desk-based research into various technologies and products. \\+ Working with customers to understand their specific needs and challenges. \\+ Defining and structuring project scopes to develop client classifier taxonomies. \\+ Participating in customer meetings for scoping and data review with a lead analyst, gaining valuable exposure to client interactions. \\+ This role is ideal for inquisitive individuals with a strong interest in both established and emerging technologies. You can expect a collaborative environment with opportunities to problem-solve and contribute to qualitative and quantitative analysis. As the role progresses, you will be: \\+ Working with customers to understand their specific needs and challenges. \\+ Ad-hoc data analysis and presentation when required to meet a customer goal. \\+ Leading customer meetings for scoping, data review, and data presentation purposes. \\+ Opportunity to also contribute to our Solutions & Consulting opportunities using tools from across our product suite. About you- No previous experience in machine learning, programming, or data analysis platforms is required. The core requirements are: \\+ A bachelor's degree in a STEM field. \\+ Knowledge of the Intellectual Property field is desirable but not required. \\+ Intermediate Excel & PowerPoint skills. \\+ A keen interest in innovation and technology trends. \\+ Strong collaboration skills and the ability to work in a multi-disciplinary team. \\+ An analytical mindset and enthusiasm for data-driven storytelling. \\+ Strong communication skills with the ability to participate in customer-facing activities. Why Join Us? If you are fascinated by the changes happening in the legal market and want to get to the heart of innovation in this space, then this is the role for you. Come and join our award-winning and growing team! Work in a way that works for you We promote a healthy work/life balance across the organization. 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 for you We 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: \\+ Generous holiday allowance with the option to buy additional days. \\+ Health screening, eye care vouchers, and private medical benefits \\+ Wellbeing programs \\+ Life assurance \\+ Access to a competitive contributory pension scheme \\+ Save As You Earn share option scheme. \\+ Travel Season ticket loan. \\+ Electric Vehicle Scheme \\+ Optional Dental Insurance \\+ Maternity, paternity, and shared parental leave \\+ Employee Assistance Programme \\+ Access to emergency care for both the elderly and children \\+ RECARES days, giving you time to support the charities and causes that matter to you. \\+ Access to employee resource groups with dedicated time to volunteer. \\+ Access to extensive learning and development resources. \\+ Access to employee discounts scheme via Perks at Work. About our business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy, and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here () to access benefits specific to your location. 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 or please contact 1-855-833-5120. 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 here. Please read our Candidate . 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. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

A bachelor's degree in a STEM field is a core requirement. Intermediate skills in Excel and PowerPoint are necessary. The role requires a keen interest in innovation and technology trends, along with strong collaboration and communication skills. An analytical mindset and enthusiasm for data-driven storytelling are also important. Knowledge of the Intellectual Property field is desirable but not required.