Data Scientist

Ellis Knight are working with an exciting global fraud intelligence company who are looking for a Data Scientist to join their team in their new London office!

You will be working closely with the data science team, as well as big data engineers, product managers, and marketers to analyze large amounts of data and develop algorithms that can be used to solve tough business problems that span the area of fraud detection/prevention and advertising data analytics.

What you'll do:

• Work with other data scientists, data analysts, product managers and engineers, and apply your expertise in quantitative data analysis to create innovative solutions.
• Provide technical support for the existing products and help resolving client tickets.
• Discover new types of fraud and develop algorithms for early detection and prevention.
• Create visualizations and effectively communicate your research insights to the product management and marketing teams.
• Create scripts to automate reports for recurring requests.
• Create and test statistical hypotheses.
• Support data-driven decision making.

Minimum qualifications:

• BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative field.
• 2-3 years of professional experience in data science, or other domain-relevant internships.
• Fluency in SQL and ability to write complex queries to extract large amounts of data.
• Fluency in Python (experience with R is a plus).
• Concrete understanding of machine learning algorithms (clustering, regression, and classification) and basic probability and statistics.
• Experience with deep learning and natural language processing algorithms.
• Experience with data science tools and frameworks such as scikit-learn, Keras, Tensorflow, H2O, Numpy, Pandas, Jupyter, etc.
• Familiarity with online advertising and advertising fraud.