AI Data Scientist (1 year fixed term contract)

We're a pan-European digital wealth manager with 130,000 active investors and over €5 billion invested on our platform. With 220+ people across 4 offices in Italy and the UK, we're supported and funded by Poste Italiane, Cabot Square Capital, United Ventures and Allianz. We started in 2011 in Milan with a simple vision - to help more people improve their financial well-being by making personal investing straightforward and accessible through technology.

Our mission is to provide investment solutions and advice to protect and grow client wealth through time. We've built our business on three principles: relationships are our first asset, trust drives success, and our customers dream big, just like us.

Our Core Values

• Relationships are our first asset: We're one team, built on trust, honesty and transparency.
• Trust drives success: We give each other the space to grow.
• Our customers dream big, just like us: We see the bigger picture and we make sure our customers see it, too.

About the role: We're looking for someone to research how LLMs can reshape the fintech industry, and to put AI and ML knowledge into practice. You'll be part of a highly skilled and motivated international team focusing on AI.

Key Responsibilities

• Research, design, implement and refine AI and ML models and applications and their corresponding performance metrics.
• Collaborate with Product and Design teams to design and test customer facing AI and ML models and applications.
• Collaborate with Software and Data Engineering teams to deploy AI and ML models to production.
• Collaborate with Data Analysts to provide AI and ML solutions with the needed analytical packages.
• Research and study the latest trends in AI and ML fields, and elaborate on their possible use cases.

Requirements

• Demonstrable proficiency in AI / data science fundamentals through academic projects, competition participation, or relevant internships (0-2 years of professional experience).
• BSc or higher degree in Data Science, Computer Science, Statistics or related discipline. Strong proficiency with Python.
• Experience / familiarity with main ML libraries and techniques (xgboost, lgbm, scikit-learn).
• Experience / familiarity with main deep learning libraries (Tensorflow, pytorch) and techniques (CNN, RNN).
• Proficiency with version control systems (Git).
• Solid practical and theoretical understanding of language models.
• Solid practical and theoretical knowledge of statistical principles and techniques.
• Ability to blend a research driven explorative approach with a results oriented mindset.
• Excellent written and verbal communications skills.
• Fluency in English is essential (most stakeholders are UK based).
• Previous experience in fintech, wealth management is preferable.

This role can be based in our offices in Milan, London or Cagliari. Our hybrid office policy requires 2 days of in-office presence per week. Please upload your CV in English.

Benefits

• Health Insurance, Wellness plan.
• Fee free investments on Moneyfarm platform.
• Career development opportunities.
• Training opportunities.
• Regular office social events.
• Happy and friendly culture!