Data Scientist (Python, ML, SQL)

JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Lead the development and implementation of advanced data science models.

• Act as a bridge between business requirements and technical execution, ensuring high-quality solution delivery
• Mentor junior scientists on coding standards, experimental design, and model ethics
• Audit data quality and process integrity across the entire modelling lifecycle.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Establish the CI/CD pipelines for machine learning, automating the transition from research to production.

·Advanced proficiency in cloud AI platforms (Vertex AI, SageMaker, or Databricks); expertise in MLOps frameworks and LLM orchestration (LangChain/LlamaIndex).

Skilled in Tableau or Power BI for automated reporting and insights

• Proficient in Python/R and SQL; experience with TensorFlow/PyTorch; deep understanding of supervised/unsupervised learning and Generative AI (LLMs)
• Scikit-learn, Pandas, Git, and familiarity with one cloud platform (AWS/Azure/GCP)