Solutions Analyst
Posted 7 days 10 hours ago by LexisNexis Risk Solutions
- Location: HOME BASED, London, City of, United Kingdom
- Contract Type: Regular
- Schedule: 35
- Job ID: R93085
About the Business
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.
About the Team
We are committed to delivering high-quality solutions tailored to the specific needs of our customers.
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
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 pre-sales 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 'Cipher' platform - no prior experience with machine learning techniques is required.
Responsibilities
Early Focus:
- 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.
Requirements:
- 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.
- 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.
- Most importantly, you must be a motivated self-starter who can effectively prioritize work to ensure timely project delivery.
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. 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-. EEO Know Your Rights.