Full time. On-site.
Responsibilities:
- Lead and manage multiple data projects from inception to completion, ensuring timely delivery and high-quality outcomes.
- Collect, process, and analyze large datasets to identify trends and patterns, and perform data cleansing, preprocessing, and feature engineering.
- Develop and implement machine learning models and algorithms.
- Collaborate with cross-functional teams, including data engineers, data scientists, data analysts, as well as tech stakeholders, to define model scope, objectives, and deliverables.
- Stay up to date with the latest advancements in data science and machine learning.
Requirements:
- Bachelor’s degree in mathematics, Computer Science, Engineering or a related field.
- Minimum of 2 years of experience in Data Science roles.
- High proficiency and vast experience working with SQL, Python and statistical techniques.
- Strong problem-solving and analytical skills.
- An innovative and creative state of mind.
- Experience with Gen-AI tools and technologies.
- A true passion for teamwork and cross-functional collaboration.
- A strong interest in finance and insurance is a significant advantage.
- A master’s degree is also a great advantage.
Send CV to Shelley Lever: [email protected]