Data Scientist

Lucinity is a SaaS startup in Reykjavík, London, Stockholm, Brussels and New York using Human AI to Make Money Good. Our anti-money laundering (AML) platform helps banks fight financial crime. Do you want to shine a light on dark finance?

About you

You’re a passionate data scientist, enthusiastic about delivering value from data. You know that a data-driven approach is vital for companies and organizations to move forward today. You love exploring data and finding out which technique works the best for the scenario at hand. You know that data science is a field where adventurous exploration, brave experimentation, and thoughtful model evaluation are all integral to building a genuinely data-driven process.

You embrace the bias-variance trade-off and understand that looking for a single, all-purpose method or model isn’t feasible and that you need to apply the best approach for each use case. Putting the science in a data scientist, you embrace your work with an open mind for the best solution for every case.

You are well trained in mathematics, machine learning, data programming, visualization of data, and statistical inference, and you apply your training to explore and bring value from data. You’re also enthusiastic about being part of and shaping the ever-changing field of data science and are happy to be on a never-ending journey to become the best version of yourself.

Focus

• Continuous development, evaluation, and optimization of multiple data-science models and feature engineering
• Ongoing pattern research to translate indications of suspicions financial behavior
• Deployment of data-science models and feature calculations
• Translating data science into answers for business-related questions using a data-driven approach
• Act as a bridge of communication between data science and the business.

Key challenges

• Optimizing, training, and tuning models and engineering features with high predictive power without sacrificing explainability
• Continuously adapting models and features to the ever-changing patterns and behaviors in financial crime.
• Maintaining a knowledge graph of features and models and how they relate to financial regulations.
• Version controlling data science models deployments.

Skills & experience

• Well trained in data programming languages, preferably Python and R
• Strong interpersonal skills and the ability to organize, track and report results.
• Possess a growth mindset and the agility to work in a fast-growing company
• B.Sc. degree or higher in a data-science-related field.
• A plus if you have experience in a data-science related field

Lucinity is an equal opportunity employer. A supportive, empowering, and inclusive environment for every member of our team is integral to our mission of Making Money Good. Continuous learning is in our DNA, and we celebrate different perspectives to help us grow as a company and as individuals. Our team consists of brilliant individuals from various backgrounds located in Reykjavík, New York, London, Stockholm, and Brussels. All applicants will be considered for employment, regardless of identity or background.

The application deadline is February 21 2022.

For more information, please contact Óli Páll Geirsson, VP of Data Science: olipall@lucinity.com

We look forward to hearing from you!