About us
RavenPack is the leading big data analytics provider for financial services. Financial professionals and organizations rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. Our products help clients enhance their decision-making by quantifying the impact of media sentiment and attention.
Our clients include the world’s most successful hedge funds, banks, and government agencies. As we continue to grow, we're looking for passionate, technically skilled professionals to join our Search Team.
Join RavenPack:
At RavenPack, our search engine is the gateway through which financial professionals access critical information. Our mission is to architect and build the most sophisticated, scalable, and intelligent search engine in the market, powering Bigdata.com.
To make this gateway truly intelligent, we are looking for an insightful and experienced Senior Search Data Scientist to join our Search Team. This is a strategic role designed for a scientist who is driven to understand the "why" behind every search, defining and building our relevance systems from the ground up. In an environment where user privacy is paramount, the intelligence of our search engine must come from a profound, first-principles understanding of our content.
You will own the full analytical and modeling lifecycle, from analyzing content and building gold-standard benchmarks, to developing the next generation of our relevance, ranking, and query understanding models.
This role is for a natural problem-solver who combines scientific rigor with product intuition, and who is passionate about seeing their insights directly translate into a smarter, more intuitive search experience.
European legal working status is required.
What You'll Be Doing
- Become an Expert on Content: Dive deep into our vast corpus of documents, understanding its intrinsic properties. Build and maintain benchmark datasets, to serve as the core for all our improvements and initiatives.
- Translate Query Intent into Search intelligence: Work on the development of our query understanding capabilities. Develop and fine-tune a range of efficient Language Models for specialized tasks related to content enrichment and query understanding, such as Named Entity Recognition or topic classification.
- Build Advanced Relevance Features: Architect the features and models that power our core ranking and re-ranking systems, using insights derived from deep content and query analysis.
- Own the Science of Search Evaluation: Champion a culture of data-driven decision-making. You will design and analyze offline experiments and tests to prove the impact of our work and guide the product roadmap.
- Collaborate on Product Strategy: Act as a strategic partner to Product Managers and Engineers. Gather and analyse user feedback, identifying their information needs. Your analysis and insights will be critical in identifying new opportunities and shaping the future direction of our search and discovery products.
What We're Looking For
- A Master’s or PhD in a quantitative field (e.g., Computer Science, Physics, Mathematics) and 4+ years of professional experience in data science with a focus on Search or Recommender Systems.
- A proven track record of working on search relevance, ranking, query understanding or solving closely-related NLP problems.
- Demonstrable, hands-on experience building, fine-tuning, and evaluating a range of language models for specific tasks like classification, NER, and semantic similarity.
- Experience in experimental design and statistical analysis. Expertise in creating evaluation datasets and developing relevance guidelines. You know how to ask the right questions and how to design experiments that provide clear, statistically significant answers.
- A talent for structuring ambiguous problems and applying logical reasoning, translating complex challenges into clear, actionable plans.
- High proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, Hugging Face) and familiarity with SQL or other query languages.
- The ability to distill complex findings into clear, concise insights for diverse audiences, from engineers to executives. You are a collaborator by nature.
Bonus Points:
- Direct experience in the financial services or financial data industry.
- Experience with knowledge graph construction.
- Experience analyzing data from search platforms like Vespa.
What's in it for you?
- Growth Opportunity: Join a team building AI that truly matters, contributing to making Gen-AI useful for finance and business research in a rapidly growing company with 180+ team members across offices in Marbella, Madrid and New York.
- International Culture: Be part of a diverse, global organization with a truly international culture.
- Team of Superstars: Work alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans.
- Competitive Compensation: We offer a highly competitive salary package and performance-based bonuses.
- Relocation Assistance: Comprehensive relocation support is available to help you and your family move to the beautiful Costa del Sol.
- Work-Life Balance: Enjoy paid vacation, flexible time-off, and a flexible work policy.
- Continuous learning: We provide the support needed to grow within the team.
- Shuttle bus: From Malaga, Fuengirola, La Riviera, and Estepona is available for free from the company.
