Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Developing and implementing advanced machine learning models and analytics solutions with an accent on end-to-end model delivery and data-driven insights. Focus on building production-ready systems, collaborating with cross-functional teams, and mentoring team members to drive business value.

Location: Must be based in or be able to commute to Limassol or Nicosia

Company

A global financial services provider offering a dynamic and intellectually stimulating environment.

What you will do

• Design, develop, and review machine learning models and advanced analytics solutions.
• Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets.
• Lead, mentor, and support a team of data scientists and analysts.
• Collaborate with cross-functional teams including data engineers and product owners.
• Present analysis results and recommendations to diverse audiences.
• Manage end-to-end delivery of data science projects ensuring high quality and business alignment.

Requirements

• University degree in a quantitative field such as Mathematics, Physics, Computer Science, or Data Science.
• At least 5 years of professional experience in data science, machine learning, or advanced analytics.
• Strong programming proficiency in Python.
• Experience with data analysis libraries like Pandas and NumPy.
• Solid understanding of machine learning principles and statistical techniques.
• Experience working with both relational and non-relational databases.

Nice to have

• Knowledge of Recommendation Systems.
• Experience with visualization tools like Matplotlib, Seaborn, or Plotly.

Culture & Benefits

• Attractive remuneration package.
• Private health insurance.
• Corporate pension fund.
• Intellectually stimulating work environment.
• Continuous personal development and international training opportunities.

Hiring process

• Intro chat with Talent Acquisition.
• First interview with the team.
• Role-specific take-home task.
• Final interview.