Senior Data Scientist Freelance

Swan

Swan, a prominent fintech specialized in embedded banking, is expanding rapidly across Europe. The company provides over 100 firms with seamless banking service integrations like accounts and payments. With a recent substantial investment, Swan continues to grow, boasting a diverse team across several European cities.

In this role you can expect to have the responsibilities:

• Deliver projects utilizing machine learning for process optimization and fraud detection.
• Develop data models and algorithms for business problem-solving.
• Analyze large datasets to inform strategic decisions.
• Design analytical models to improve business outcomes.
• Collaborate with teams to build scalable data-driven solutions.
• Stay updated on industry trends and suggest technological innovations.
• Ensure data quality in processing new data sources.

This role comes with the following benefits:

• Hybrid remote work policy with two days at home per week.
• Comprehensive health insurance with Alan.
• Fitness partnerships with Classpass & Gymlib.
• Swile card for meal coverage during workdays.
• Regular retreats to scenic locations for team bonding.

This role requires you to have:

• Extensive experience as a Data Scientist, preferably in fintech or B2B SaaS.
• Advanced degree in Applied Mathematics, Statistics, or related fields.
• Proficient in machine learning libraries and frameworks.
• Strong skills in data mining and statistical analysis with Python and SQL.

You would benefit from having:

• Project management experience and stakeholder engagement.
• Team spirit and transparency.
• Autonomy and proactive problem-solving ability.
• Passion and quick learning capabilities.

Swan upholds a diverse and inclusive work environment, valuing diversity in age, gender, disability, sexual orientation, and more. They emphasize equality and inclusivity in their recruitment processes.