Bright minds,
sharp solutions

Luxoft is a global IT service provider of innovative technology solutions that delivers measurable business outcomes to multinational companies. Its offerings encompass strategic consulting, custom software development services, and digital solution engineering. Luxoft enables companies to compete by leveraging its multi-industry expertise in the financial services, automotive, communications, and healthcare & life sciences sectors. For more information, please visit the website.

Line of Business:

Financial Services


AML Data Scientist

Project Description

A challenging role as Data Scientist in a dynamic, international and demanding environment using the latest innovations in predictive analytics and visualization techniques.


• Developing, maintaining and extracting knowledge from strategic internal and external data sets
• Studying fundamental and high impact business questions that directly impact the direction of the company and industry at large
• Developing and designing algorithms, build prototype versions, run multiple validations with business experts and work on operationalization
• Be a part of an open-minded team with a strong team spirit that acts in a versatile, dynamic, and flexible working environment



Must have:
• A Bachelor or Master degree in a quantitative field (Statistics, Mathematics, Economics) or Information Technology
• Experience in Statistical Modelling (Classification, Scorecard Models, Segmentation, Clustering, Bayesian statistics), Anomaly Detection, and/or Machine Learning algorithms both Supervised and Unsupervised
• SQL - ability to assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems
• Fluency in English (written and spoken)
• Communication skills to collaborate effectively and to build up professional relationships even with senior level executives
• High-level of confidentiality, integrity and responsibility enable you to deal with critical and confidential data
• As demonstrated standout colleague, self-starter and independent thinker you are willing to cooperate in a highly collaborative environment and to contribute to the team's success

Nice to have

• Experience in the field of financial crimes compliance and anti-money laundering / transaction monitoring is an advantage
• Experience BigData/Hadoop ecosystem is an advantage
• Expertise in text mining, natural language processing
• Proficiency in German
• Knowledge of Python, R


  • English: Upper-intermediate

Relocation package

If needed, we can help you with relocation process. Click here for more details:

Work Type
Data Science

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