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For Companies At a Glance
- Tasks: Enhance knowledge graphs using generative AI for actionable insights.
- Company: Leading financial technology firm with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and work with cutting-edge GenAI technologies.
- Qualifications: 3+ years in Python, 1+ year with GenAI, and familiarity with SQL and API design.
- Other info: Fast-paced environment with a strong emphasis on collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial technology firm is seeking a Software Engineer III to join the DataPilot team in London. Candidates should have over 3 years of experience in Python and a minimum of 1 year with GenAI technologies. The role focuses on enhancing a knowledge graph for actionable insights using generative AI. Ideal applicants possess a Bachelor's degree in computer science or a related field and are familiar with SQL and API design. A commitment to innovation in a fast-paced environment is essential, along with collaboration skills.
GenAI-Driven Software Engineer, Data Solutions in London employer: FactSet Research Systems Inc.
Contact Detail:
FactSet Research Systems Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI-Driven Software Engineer, Data Solutions in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your Python projects and any GenAI work you've done. This is your chance to shine and demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on SQL and API design. We all know that technical questions can be tricky, so practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace GenAI-Driven Software Engineer, Data Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and GenAI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing knowledge graphs and how your background makes you a perfect fit for our DataPilot team.
Showcase Your Collaboration Skills: Since we value teamwork, mention any experiences where you’ve successfully collaborated on projects. This could be in your CV or cover letter – just make sure it stands out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at FactSet Research Systems Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and GenAI technologies. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've enhanced data solutions in the past. Think of examples where you've used knowledge graphs or generative AI to derive actionable insights, and be ready to explain your thought process.
✨Familiarise Yourself with SQL and API Design
Since the role requires familiarity with SQL and API design, make sure you can discuss how you've implemented these in previous roles. Have a couple of examples ready that highlight your experience and understanding.
✨Emphasise Collaboration and Innovation
This position values teamwork and innovation, so be prepared to share experiences where you've worked collaboratively in a fast-paced environment. Highlight any innovative solutions you've contributed to and how they impacted your team or project.
