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- Tasks: Design and deploy custom classifiers using patent data and train machine learning models.
- Company: Leading intellectual property solutions firm in Greater London.
- Benefits: Generous holiday allowance, medical benefits, and a pension scheme.
- Other info: Enjoy a hybrid work model with great career development opportunities.
- Why this job: Join a dynamic team and work on innovative projects that shape the future of technology.
- Qualifications: Bachelor's degree in a STEM field required.
The predicted salary is between 40000 - 50000 £ per year.
A leading intellectual property solutions firm seeks a Solutions Analyst in Greater London to design and deploy custom classifiers. The role involves training supervised machine learning classifiers using patent data, conducting research, and collaborating with clients to define project scopes.
A bachelor's degree in a STEM field is required. The role offers a hybrid work model with generous employee benefits including holiday allowance, medical benefits, and a pension scheme.
Solutions Analyst — Hybrid Patent Data & ML Training employer: LexisNexis Intellectual Property Solutions
Contact Detail:
LexisNexis Intellectual Property Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Analyst — Hybrid Patent Data & ML Training
✨Tip Number 1
Network like a pro! Reach out to professionals in the intellectual property and machine learning fields. Use platforms like LinkedIn to connect with people who work at firms you're interested in, and don't be shy about asking for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects or research you've done related to patent data or machine learning. This can really help you stand out when you're chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Research common questions for Solutions Analyst roles and practice your answers. Be ready to discuss how you would approach designing classifiers and collaborating with clients.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team. Don't miss out on the chance to land that dream job!
We think you need these skills to ace Solutions Analyst — Hybrid Patent Data & ML Training
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and patent data. We want to see how your skills align with the role, so don’t be shy about showcasing your STEM background!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Solutions Analyst position and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Research Skills: Since the role involves conducting research, include examples of past projects where you’ve successfully gathered and analysed data. We’re keen to see how you approach problem-solving and project scopes!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at LexisNexis Intellectual Property Solutions
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and patent data. Familiarise yourself with common classifiers and their applications. Being able to discuss specific examples will show that you're not just knowledgeable but also passionate about the field.
✨Research the Company
Take some time to understand the firm’s mission and values. Knowing what they stand for and how they operate will help you tailor your answers and demonstrate that you’re a good fit for their culture.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This shows your interest in the role and helps you gauge if the company is the right fit for you. Think about asking about their current projects or how they measure success in this position.
✨Show Your Collaborative Side
Since the role involves working with clients and defining project scopes, be prepared to discuss your experience in teamwork and collaboration. Share examples of how you've successfully worked with others to achieve a common goal, especially in a technical context.