Data Scientist

Key Responsibilities:

• Develop, evaluate, and deploy models using conventional ML and newer LLM techniques.
• Work collaboratively with the data engineering team to produce required data assets that comply with the existing data lake governance.
• Actively contribute to app product development, managed through development tickets on GitHub.
• Translate complex findings and results into a compelling narrative for stakeholders.
• Promote best practices and help setting up standardised, effective processes to improve the teams work.
• Provide expertise on statistical analysis, data mining, and data visualization to the team.
• Actively build knowledge in a range of domains:
• Commercial: Contracts and client relationships
• Accounting: Financials of ION and External companies
• Markets: M&A, LCM and ECM Deals
• Content: Articles and Journalism
• Product front end: Functionalities and platform offering
• Product back end: Usage and other archived information
• Stay updated with latest AI and Machine Learning developments and adapt to changes quickly.

Required skills, experiences, and qualifications

• Bachelor degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proficiency in Python, SQL and experience with Machine Learning libraries. Pyspark knowledge and Databricks experience is a plus.
• Experience with Azure app services is a plus.
• Experience with version control using Azure DevOps or GitHub.
• Deep understanding of Machine Learning algorithms, predictive modeling, and statistical analysis techniques.
• Experience of agile software development methodologies (Scrum, Kanban etc.).
• Excellent problem-solving skills, attention to detail, and quality conscious.
• Strong written and verbal communication skills with the ability to present complex results to non-technical stakeholders.
• Proactive team player with the ability to work to deadlines and manage expectations.