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- Tasks: Design experiments and oversee projects in knowledge graphs and machine learning.
- Company: Leading financial data company based in London with a focus on innovation.
- Benefits: Hybrid work model and competitive industry benefits.
- Why this job: Join a cutting-edge team to shape the future of financial data with AI.
- Qualifications: PhD or equivalent experience in NLP and graph ML, plus industry experience.
- Other info: Collaborative environment with opportunities for impactful research.
The predicted salary is between 54000 - 84000 £ per year.
A leading financial data company based in London seeks a Senior Applied Scientist to advance knowledge graph and machine learning capabilities. The candidate should have a PhD or equivalent experience in NLP, familiarity with graph ML, and proven industry experience.
Responsibilities include:
- Designing and conducting experiments
- Overseeing projects
- Collaborating with stakeholders to align research with business needs
The position offers a hybrid work model and competitive industry benefits. Applications are encouraged before the deadline.
Senior Knowledge Graphs ML Scientist for Risk & GenAI employer: Refinitiv
Contact Detail:
Refinitiv Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Knowledge Graphs ML Scientist for Risk & GenAI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at the company you're eyeing. A friendly chat can give you insights and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your past projects related to knowledge graphs and machine learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your NLP and graph ML knowledge. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Knowledge Graphs ML Scientist for Risk & GenAI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in NLP and graph ML. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about knowledge graphs and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any interesting projects related to machine learning or knowledge graphs, make sure to mention them. We love seeing real-world applications of your skills, so share those experiences with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Refinitiv
✨Know Your Stuff
Make sure you brush up on your knowledge of NLP and graph ML. Be ready to discuss your past projects in detail, especially those that align with the responsibilities mentioned in the job description. This will show that you not only have the technical skills but also the practical experience needed for the role.
✨Prepare for Technical Questions
Expect some challenging technical questions during the interview. We recommend practising coding problems related to machine learning and knowledge graphs. You might also want to prepare a few case studies or examples of experiments you've designed and conducted in previous roles.
✨Show Your Collaborative Side
Since the role involves collaborating with stakeholders, be prepared to discuss how you've worked with others in the past. Think of specific examples where you aligned research with business needs. This will demonstrate your ability to communicate effectively and work as part of a team.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current projects in knowledge graphs and how they envision the future of GenAI in their operations. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
