Data Scientist

The successful applicant will be responsible for the development of model pipeline tools to convert unstructured financial and textual data into structured data formats.

Support the development and refinement of tools for company identification, transaction and source matching, as well as company data and ownership mapping using knowledge graphs.

Assist in improving algorithmic models for private equity transaction matching and support the retrieval of financial accounts by integrating with available APIs or automating the acquisition of company reports.

Maintain and enhance existing machine learning tools, collaborating closely with analysts to ensure smooth integration into the operational workflow.

Liaise with the production team to implement and maintain the developed models.

Work closely with the Head of Data to develop other data products as necessary.

1. 3–4 years of professional experience in data science, AI systems, or related fields
2. Experience building and deploying machine learning models and applications
3. Strong proficiency in Python; familiarity with R and other programming or statistical languages is a plus
4. Experience with prompting LLMs and building agentic AI systems (e.g. Langchain, Langgraph)
5. Knowledge of NLP techniques such as entity extraction and similarity search; experience with knowledge graphs is a big plus.
6. Experience integrating human feedback into AI workflows (e.g. using LabelStudio)
7. Hands-on experience with NoSQL databases, particularly MongoDB
8. Experience ingesting unstructured data from websites using scraping tools (e.g. BeautifulSoup, Selenium)
9. Working knowledge of AWS Cloud services (EC2, S3)
10. Comfortable working in Unix environments and managing Python packages.
11. Degree in Computer Science, Data Science, Engineering, or a related field; Master’s degree is a plus

This is a full-time, ongoing position.

Remuneration is competitive and includes a bonus for meeting performance objectives.

Attractive salary and bonus, healthcare and pension plan coverage. Flexible work is available, but with an expectation of a minimum three days in the office. The salary will be determined according to EIPA's pay scale, the candidate's qualifications and experience.

To apply for this offer, please send a CV and a cover letter (pdf format).