Machine Learning Engineer
Chalandri, Attica, Greece · Data Science
πριν από 3 μέρες

About OSeven

OSeven is a high-tech company, in the field of Driving Behaviour Analysis, Telematics and Usage Based Insurance, based in London and Athens.

It provides world-leading driving behavioral analytics, telematics services, gamification and loyalty schemes to a diverse corporate portfolio in insurance, banking, automotive and fleet industry, using advanced Machine Learning techniques and Big Data Analysis.

OSeven has already completed successfully three funding rounds and has reached agreements with a number of international Insurance Companies in 8 countries.


As an ML Engineer at OSeven you will join a cross-disciplinary team of ML Engineers, Data Scientists, Transportation Engineers and back-

end developers. You will participate in the design, implementation and testing of advanced Machine Learning and Data Mining based products for discovering a wide range of driving behavior patterns primarily from smart phone sensor data.

You will also develop state of the art custom-made solutions for problems such as detecting transportation mode, detecting driver or passenger modes and performing advanced geospatial analysis for a large numbers of recorded trips.

You will work closely with our back-end and front-end teams for incorporating, deploying and maintaining the developed solutions using software engineering best practices.

Required experience

  • 3+ years of professional experience in related fields
  • Bachelor's degree in electrical engineering, computer science, statistics, mathematics or a related field. Master’s degree or Ph.
  • D. in a Data Science related area preferred.

  • Expert knowledge of supervised and unsupervised learning algorithms, statistical modeling methods, feature selection and performance evaluation schemes for Machine Learning models.
  • Expert knowledge of Python programming.
  • A firm understanding of digital signal processing, time series filtering and modeling techniques as well as advanced optimization algorithms.
  • Familiar with version control systems (Git).
  • Experienced in working according to agile frameworks (Scrum or Kanban).
  • Experience with sensor data quality control.
  • Experience with distributed computing platforms for big data analysis such as Spark or Microsoft Azure’s ML Studio.
  • Nice to have

  • Experience with smartphone sensor data.
  • Experience with distributed computing platforms for big data analysis such as Spark or Microsoft Azure’s ML Studio.
  • Experience with database technologies, both relational (MySQL, PostgreSQL) and NoSQL (MongoDB).
  • Familiarity with cloud platforms such as Microsoft Azure and Amazon AWS.
  • Familiarity with one additional programming language, preferably Java.
  • Benefits

    Highly competitive salaries reviewed upwards on a regular basis based on company’s targets

  • Stock options or bonus scheme subject to seniority level
  • International well-known and cool team
  • Rapid personal and professional development amongst ground breaking industry experts
  • Latest communication and project management tools (Slack, Jira, Trello etc.)
  • Flexible hours and teleworking
  • Great work space in a very good location
  • Free drinks and team social events on a regular basis
  • More to come!
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