Senior data / analytics Scientist

  • Zürich, ZH, Switzerland
  • 09/09/2019
Full time Data Science Data Analytics Big Data Statistics

Job Description


Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.

We are:

  • Experts in banking and payments, capital markets and wealth and asset management
  • Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
  • Committed to growing our business and hiring the best talent to help us get there
  • Focus on maintaining our nimble, agile and entrepreneurial culture


  • Be keen to join the team to develop the Swiss Data Practice capabilities and the broader Global Data Practice to support industry changing topics such as Predictive Analytics, Machine Learning and Artificial Intelligence
  • Work with large complex data sets to solve difficult, non-routine analysis problems applying advanced analytical methods as needed
  • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations
  • Make business recommendations with effective presentations of findings at multiple levels of stakeholders through use of visual displays of quantitative information
  • Collaborate with business customers to understand needs, recommend strategy enhancements and deploy predictive analytics across multiple platforms
  • Develop, consult on, deploy and analyze testing strategies to leverage learnings for future business endeavors
  • Prepare detailed documentation to transfer knowledge and satisfy governance and regulatory concerns
  • Present very technical issues to non-technical audiences
  • Consult on applying quantitative problem solving to business problems using analytics in both mentoring and classroom settings


  • Bachelor / Master / PhD degree in Machine Learning, CS, Math, Physics, or other quantitative disciplines
  • Extensive knowledge of data modeling and machine learning techniques (supervised and unsupervised learning, recommender systems, natural language processing, computer vision, etc.)
  • Extensive experience with programming/analytical tools (Python, R, SAS, Matlab, etc.)
  • Experience cleaning and processing data (structured, unstructured)
  • Experience with data visualization tools (Tableau, Spotfire, Qlik, D3, etc.)
  • Experience with data querying tools (SQL, DB2, Hive, Pig etc.)
  • Experience articulating business questions, using mathematical techniques to arrive at an answer using available data, and translating technical/analysis results into business recommendations
  • Excellent communication (written and verbal), presentation, and facilitation skills
  • Demonstrated leadership and self-direction, willingness to teach others and learn new techniques
  • Ability to manage multiple goals and deadlines
  • Fluency English, good German language skills nice to have
  • Flexibility to travel


You will work on engaging projects with some of the largest banks in the world, on projects that will transform
the financial services industry.

We offer:

  • A work culture focused on innovation and creating lasting value for our clients and employees
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  • A diverse, inclusive, meritocratic culture

If you want more autonomy, better prospects and a more exciting career, send your application!

If you have any questions, please don't hesitate to contact Rahel Meyer (Recruiter)

Applications via e-mail will not be taken into consideration