Careers

Data Tale practices a coherent company culture by being consistent in living the values every day. We can offer a flexible approach to career progression with a unified and open skeptic environment and flexible working hours.

Job Opportunities

Data Scientist/Statistical Quant Mathematician

This is a great opportunity for someone passionate about maths and stats to have their ideas put into practice.

  • A strong background in mathematical and statistical modeling.
  • Previous experience working as a Quant Analyst, Data Analyst, Data Scientist or Big Data Analyst – desirable.
  • Degree in maths/statistics/machine learning/econometrics is essential.
  • Experience using C++ or Python is highly regarded, although Matlab & R experience will also be considered.
  • Strong algorithmic coding skill and solid knowledge of data structures.
  • Experience with statistical forecasting essential.
  • Understanding of machine/statistical learning techniques such as non-linear regression, Kernel regression, support vector machines (SVM), neural networks, classification trees and similar techniques very beneficial.
  • Ability to translate the model output to business stories/visualizations using Tableau/Power BI.
Data Science Internship
  • You’ll be challenged to create innovative solutions using data across science, math, and user data to power our recommendation engines.
  • You’ll be given sole responsibility to build data pipelines using advanced data science techniques to make data in-warding efficient from various unstructured data sources.
  • Basic knowledge on R/Python coding is required.