Lead Data Scientist - Applied Intelligence

RavenPack
London
7 months ago
Applications closed

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RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. Our clients include the most successful hedge funds, banks, and asset managers in the world.

About us

RavenPack is powering the future of finance with AI. With over 20 years of experience delivering big data analytics to the world’s top hedge funds, banks, and asset managers, we are now building the next generation of generative AI solutions for financial professionals.

Our mission: Help clients make faster, smarter decisions by integrating public information into their workflows using cutting-edge NLP, ML, and GenAI technologies. RavenPack has been recognized as theBest Alternative Data Provider(WatersTechnology) and one ofVivaTech’s Top 100 Next Unicorns.


The Opportunity

We’re looking for a leader to help drive our new initiative:“Build with Bigdata.com”, developing intelligent agents and workflow solutions that transform how finance professionals work. This role reports directly toPeter Hafez, Chief Data Scientist at RavenPack.

This is a strategic, hands-on role for a technical leader passionate about GenAI, NLP, and financial innovation. You’ll drive POC development, guide applied research, and work directly with enterprise clients to shape real-world applications of AI.

What You'll Do


  • Lead Innovation:Architect and build advanced ML/NLP-powered solutions that deliver measurable impact in financial workflows.


  • Client-Facing Leadership:Engage with top-tier financial clients during POCs and pilots. Gather feedback, iterate fast, and translate AI into real-world value.


  • Drive Strategy:Champion the use of LLMs/LRMs, fine-tuning, and multi-agent systems to solve complex industry challenges.


  • Advance Research:Stay ahead of AI/ML trends and lead internal R&D efforts aligned with business goals.


  • Collaborate Cross-Functionally:Work with engineers, product teams, and executives to bring scalable solutions to market.


  • Champion Communication:Represent RavenPack at conferences, online communities, and client meetings, turning complex insights into compelling narratives.



What We're Looking For


  • MSc or PhD in Computer Science, Machine Learning, NLP, or a related field.


  • 7+ years of industry experience, with a proven track record in leading ML/NLP initiatives.


  • Deep hands-on experience with LLMs, LRMs, and coding assistant technologies.


  • Strong background in time-series analysis, workflow orchestration, and multi-agent LLM architectures.


  • Proficient in Python (plus SQL or other databases).


  • Excellent communicator with proven client-facing and project management skills.


  • Financial domain experience ishighly desirable.


  • A self-starter with entrepreneurial energy, business acumen, and a passion for pushing the boundaries of applied AI.



Why Join Us?

At RavenPack, you’ll be at the forefront of innovation in financial analytics, working to shape the future of decision-making in global markets. With cutting-edge tools, a collaborative culture, and access to leading industry players, this is your opportunity to make a lasting impact.

Ready to lead the next wave of AI in finance? Apply now and help us build the future.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

What's in it for You?


  • International Culture: With its headquarters in Marbella, Spain, and presence in Madrid, New York and London, RavenPack takes pride in being a truly diverse global organization.
  • Best in Class: You will work with top engineers with experience using ReactJS, Python, Java and Lisp, on cutting-edge, innovative technology.
  • Competitive Salary: In RavenPack, we believe that your time and experience needs to be fairly rewarded.
  • Continuous learning: We provide the support needed to grow within the team.
  • Innovation: Innovation is the key to our success, so we encourage you to speak up and tell us about your vision.
  • Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)


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