Organisation : EDHECinfra and Private Assets (“EIPA”)
Responsibilities :
- The successful applicant will develop model pipeline tools to convert unstructured financial and textual data into structured formats.
- Support the development and refinement of tools for company identification, transaction and source matching, and company data and ownership mapping using knowledge graphs.
- Improve algorithmic models for private equity transaction matching and assist in retrieving financial accounts by integrating APIs or automating company report acquisition.
- Maintain and enhance existing machine learning tools, working closely with analysts for seamless integration into workflows.
- Liaise with the production team to implement and maintain models.
- Collaborate with the Head of Data to develop other data products as needed.
Skills and Qualifications :
Candidates should have :
3–4 years of experience in data science, AI systems, or related fieldsExperience building and deploying machine learning models and applicationsProficiency in Python; familiarity with R and other statistical languages is a plusExperience with prompting LLMs and building agentic AI systems (e.g., Langchain, Langgraph)Knowledge of NLP techniques such as entity extraction and similarity search; experience with knowledge graphs is advantageousExperience integrating human feedback into AI workflows (e.g., LabelStudio)Hands-on experience with NoSQL databases like MongoDBExperience with web data ingestion using scraping tools (e.g., BeautifulSoup, Selenium)Knowledge of AWS Cloud services (EC2, S3)Comfort working in Unix environments and managing Python packagesDegree in Computer Science, Data Science, Engineering, or related fields; Master’s preferredThis is a full-time, ongoing position with competitive remuneration, including performance bonuses, healthcare, and pension plans. Flexible work options are available, with a minimum of three days in the office. Salary will depend on qualifications and experience.
To apply, please send your CV and cover letter in PDF format.
Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Engineering and Information TechnologyIndustries
Higher EducationJ-18808-Ljbffr