Data Scientist

📢 We’re hiring a Data Scientist for a leading financial institution!

If you have strong experience in the data space and are looking for your next challenge in a cutting-edge, AI-driven environment- this is a great opportunity to join a Model Development Team leading enterprise-wide strategic initiatives.

🔍 About the role:

You’ll be responsible for developing and deploying advanced machine learning models on AWS-based infrastructure, working with diverse datasets (structured and unstructured), and delivering data-driven solutions to complex business challenges across domains such as marketing, customer service, pricing, and technology.

💡 Key Responsibilities:

• Design, develop, and deploy ML models

• Derive actionable insights using advanced analytics and AI tools

• Work with large-scale datasets, with a strong focus on tabular data

• Build algorithmic solutions for complex business problems

• Present insights and recommendations to stakeholders

• Evaluate and monitor model performance

✅ Requirements:

• Minimum 5 years of experience as a Data Scientist

• Hands-on experience with classical ML models (classification & regression)

• Strong experience working with tabular data

• Proven experience in data analysis and data preparation for modeling

• Strong Python development skills

• Industry experience- advantage for financial services / banking domain

• Strong analytical and problem-solving skills

⭐ Nice to have:

• Experience with Generative AI

• Experience in large, complex organizations

• Experience working with cloud environments (AWS)

• Experience with PySpark

• Business understanding of financial domains

🎓 Education:

Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field

📍 Location: Lod | Full-time, hybrid

💬 Additional notes:

We’re looking for someone who not only delivers technically, but can also clearly present and explain their work to various stakeholders.

Candidates with ~4 years of Data Science experience may also be considered if they bring an additional year of relevant data experience (e.g., Data Analyst or similar roles).

📩 Send your CV to: [email protected]