At a Glance
- Tasks: Lead innovative data science projects from start to finish, delivering impactful AI solutions.
- Company: Join Jefferies, a leading global investment bank focused on advanced AI and analytics.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge technologies.
- Other info: Dynamic team environment with opportunities to mentor and raise technical standards.
- Why this job: Shape the future of finance with high-impact AI capabilities and collaborate with senior stakeholders.
- Qualifications: 6-10+ years in data science, expert Python skills, and experience with predictive modeling.
The predicted salary is between 120000 - 150000 € per year.
This is not a generic data science role. The successful candidate will be expected to independently lead projects from problem definition through to production delivery, partnering closely with business stakeholders, data scientists, engineers, and other technology teams. The role requires a combination of deep technical capability, strong commercial awareness, and the ability to deliver scalable, production-grade solutions. The candidate will work across predictive analytics, machine learning, and LLM-based agentic AI, including bespoke agents and multi-step workflows designed to address high-impact finance use cases.
Key Responsibilities
- Build and deliver solutions across predictive analytics, machine learning, and LLM-based agentic AI.
- Design, develop, and implement bespoke AI agents and multi-step workflows using modern agent frameworks such as LangChain, LangGraph, or similar technologies.
- Develop robust, scalable, and production-grade Python code, contributing directly to production systems.
- Partner with senior stakeholders across investment banking, markets, and technology to translate business needs into clear technical requirements and measurable outcomes.
- Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration.
- Collaborate with a global team of data scientists and engineers to deliver high-quality, reliable solutions.
- Mentor team members and contribute to raising standards for technical execution, code quality, and delivery discipline.
- Stay current with developments in machine learning, generative AI, LLMs, and agentic workflows, and identify practical opportunities to apply these technologies within financial services.
Required Experience and Skills
- 6–10+ years of experience in data science, machine learning, or a related technical field.
- Expert-level Python programming skills, with the ability to write clean, maintainable, and production-grade code.
- Proven track record of independently delivering end-to-end data science or machine learning projects.
- Strong experience with predictive modeling, including model design, training, evaluation, deployment, and monitoring.
- Hands-on experience working with LLMs and building AI applications beyond simple chatbot interfaces.
- Strong understanding of modern machine learning workflows, software engineering practices, and production deployment considerations.
- Excellent interpersonal and communication skills, with the ability to engage senior stakeholders and explain complex technical concepts clearly.
- Creative, curious, and commercially minded, with a passion for solving complex problems and building practical, high-impact solutions.
Preferred Experience and Skills
- Direct experience building bespoke AI agents and agentic workflows in a production environment.
- Familiarity with AWS and modern cloud-native deployment and scaling patterns.
- Experience in financial services, particularly within investment banking, markets, private equity, or a related environment.
- Understanding of front-office finance workflows and the role of data, analytics, and AI in supporting business decision-making.
- Experience with modern AI frameworks and orchestration tools, including LangChain, LangGraph, or comparable technologies.
About the Team
The Global Data Science team at Jefferies is focused on building next-generation AI and analytics capabilities that combine trusted data, predictive models, and LLM-based agents to deliver practical outcomes for high-impact financial workflows. The team partners closely with business and technology stakeholders to develop solutions that improve productivity, enhance decision-making, and support strategic initiatives across investment banking and markets.
Why Join Jefferies
This is an opportunity to help shape and deliver advanced AI capabilities within a leading global investment bank. The successful candidate will work on high-impact use cases, partner directly with senior stakeholders, and contribute to the development of practical, production-grade AI solutions across global finance workflows.
Data Science - Predictive Modeling & Agentic AI (Vice President) in London employer: Jefferies Financial Group
Jefferies is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. As a Vice President in Data Science, you will have the opportunity to lead impactful projects in a supportive environment that prioritises employee growth and mentorship. With access to cutting-edge technologies and a commitment to professional development, you will be empowered to make significant contributions to the financial services sector while working alongside industry leaders in a global investment banking setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science - Predictive Modeling & Agentic AI (Vice President) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A personal connection can often get you a foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive analytics and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you tackled challenges in data science.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Data Science - Predictive Modeling & Agentic AI (Vice President) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with predictive modeling and machine learning in your application. We want to see how you've independently led projects and delivered production-grade solutions, so don’t hold back on the details!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the role. Mention your experience with LLMs and bespoke AI agents, as well as any relevant financial services background. This helps us see how you fit into our team!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain complex concepts, as we value excellent communication skills. Remember, we want to understand your thought process easily!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Jefferies Financial Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in predictive analytics, machine learning, and LLM-based agentic AI. Brush up on your Python skills and be ready to discuss how you've delivered production-grade solutions in the past. Prepare examples that showcase your technical prowess and problem-solving abilities.
✨Understand the Business Context
This role requires a strong commercial awareness, so do your homework on the financial services industry, particularly investment banking. Be prepared to discuss how your technical skills can translate into business outcomes and how you can partner with stakeholders to meet their needs.
✨Showcase Your Project Leadership
Since you’ll be leading projects from start to finish, come prepared with specific examples of end-to-end data science or machine learning projects you've managed. Highlight your experience in problem framing, model development, and deployment, and be ready to explain your approach to mentoring team members.
✨Stay Current and Curious
The field of AI is constantly evolving, so demonstrate your passion for staying updated with the latest trends and technologies. Share insights on recent developments in machine learning and generative AI, and discuss how you envision applying these innovations within financial services.
