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- Tasks: Join a dynamic team to enhance AI-driven financial insights and improve user workflows.
- Company: FactSet, a leading tech company in financial data solutions.
- Benefits: Competitive salary, flexible work options, and a culture of innovation.
- Why this job: Make an impact with generative AI while collaborating on exciting projects.
- Qualifications: 3+ years in Python, experience with GenAI, and a passion for tech.
- Other info: Recognised as one of the Best Places to Work in 2023.
The predicted salary is between 36000 - 60000 £ per year.
At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations.
The team: 3 software engineers - We are going to hire 2 new persons.
Technical stack: Python, SQL, AWS, Terraform, CI/CD, GenAI, RAG.
You will work on a team in a fast-paced environment, with the opportunity to influence the product's design and architecture. An ideal candidate for the role would be an individual who has experience or a strong interest in working with generative AI and related technologies, utilising open-source, an interest in knowledge graph and semantic web technologies, and a passion for understanding and iterating on user workflows.
Join the DataPilot team at FactSet, where our mission is to transform our users' natural language queries into actionable insights using our generative AI platform. At the core of the DataPilot infrastructure is a knowledge graph that connects financial concepts to the data available in FactSet. Engineers on the team maintain and enhance a GenAI-powered software stack that operates at the intersection of financial data, knowledge management, and data engineering.
The day-to-day role of an engineer on the DataPilot team is to:
- Enhance the knowledge graph model to improve answer quality on complex queries.
- Partner and collaborate with product development leads to identify technical requirements for future product enhancements.
Required Skills
- 3+ years of experience with Python
- 1+ year of experience on projects including GenAI, RAG systems, MCP and or agentic AI
- Familiarity with relational databases and data modelling techniques (SQL).
- Familiarity with API design and working in distributed systems.
Additional/Desired Skills
Education: Bachelor's degree in computer science, computer engineering, or a similar technical field or equivalent practical experience.
Senior Software Engineer – DataPilot 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 Senior Software Engineer – DataPilot in London
✨Tip Number 1
Network like a pro! Reach out to current employees at FactSet on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role on the DataPilot team.
✨Tip Number 2
Show off your skills! If you’ve worked with Python, SQL, or GenAI, create a portfolio showcasing your projects. This will give you an edge and demonstrate your hands-on experience to the hiring team.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of knowledge graphs and semantic web technologies. Be ready to discuss how you can enhance the DataPilot infrastructure and improve answer quality on complex queries.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the FactSet family.
We think you need these skills to ace Senior Software Engineer – DataPilot in London
Some tips for your application 🫡
Show Your Passion for Tech: When you're writing your application, let your enthusiasm for software engineering and generative AI shine through. We love candidates who are genuinely excited about the tech they work with, so share any relevant projects or experiences that highlight your passion!
Tailor Your CV: Make sure to customise your CV to reflect the skills and experiences mentioned in the job description. Highlight your Python and SQL experience, as well as any work with GenAI or knowledge graphs. This helps us see how you fit into our team right away!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you want to join the DataPilot team specifically. Share your thoughts on how you can contribute to transforming user queries into actionable insights and why you’re excited about working with us at FactSet.
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 the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at FactSet Research Systems Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and AWS, as these are crucial for the role. Brush up on your knowledge of Terraform and CI/CD processes too, as they’ll likely come up during technical discussions.
✨Show Your Curiosity
FactSet values curiosity, so be prepared to discuss how you've approached problem-solving in the past. Think of examples where your curiosity led to innovative solutions, especially in generative AI or knowledge graph technologies.
✨Collaborate Like a Pro
Since the role involves partnering with product development leads, highlight your teamwork skills. Share experiences where you successfully collaborated on projects, particularly those that required input from multiple stakeholders.
✨Prepare Questions
Have insightful questions ready about the team’s current projects or the future direction of DataPilot. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
