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AI Data Scientist (1 year fixed term contract)

Moneyfarm
London
1 month ago
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Data Scientist / Senior Data Scientist

We’re a pan-European digital wealth manager with 130,000 active investors (growing fast!) 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. Fast forward a few years, and we’re known as one of the most innovative fintechs headquartered in the heart of London.

Mission

To provide investment solutions and advice to protect and grow client wealth through time.

Our Core Values:

We’ve built our business on three Principles:

  • Relationships are our first asset: We’re one team, built on trust, honesty and transparency. We value our relationships above all else.
  • Trust drives success: We give each other the space to grow. We empower our employees to succeed, so they can make a real impact.
  • Our customers dream big, just like us: We see the bigger picture and we make sure our customers see it, too. We’re always focused on the best outcomes for our clients and for each other, no matter what the goal, or how big the dream

What this means in practice:

At Moneyfarm, diversity is the foundation of our competitive advantage. We value our employees for who they are – their backgrounds, experiences, talents, knowledge and individual differences. This is what makes us better at what we do. To accommodate our different needs and commitments, we offer flexible working to all. Our individual impact and output is what counts most.

About the role:

Are you looking forward to researching how LLMs can reshape the fintech industry? Are you excited to put to a test the AI and ML knowledge you assembled during your studies? Do you want to be part of a highly skilled and motivated international team focussing on AI? This might just be the right job for you. 

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 disciplineStrong 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.

For this role, 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!

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