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Data Scientist - Risk Analytics

Data Scientist - Risk Analytics

We are looking for talented junior and senior data scientists to join our Intelligent Products teams as we shape the future of intelligent guarding and security. Early development is headed by teams in Malmö, as we deploy products across the globe in the coming years and start up new development teams around the world. By joining the Crime Prediction team, you will be given a chance to help roll out live products and deliver the intelligent product strategy at Securitas for thousands of employees and customers. If you have experience in data science with feature analysis, predictive models and are passionate about machine learning, this is the role for you!


  • Along with our team of data scientists and developers, you will be responsible for implementation and operation of a state-of-the-art ML solutions which are scalable and innovative in the way the data is processed, managed and analysed.
  • You will explore multiple datasets to identify important features, patterns, and correlations.
  • You will work with real and often unique datasets used to e.g. determine the risk and certain criminal events occurring within a neighbourhood at any given time.


  • A background in computer science, software engineering or a similar IT-related education
  • Well-experienced programming in Python and at least one more language
  • Have a good grasp of computer-science concepts such as data structures (tree structures, list comprehension, etc.)
  • Experienced in working with pattern recognition, data analysis, and machine learning
  • Having worked with version control such as Git
  • A good mathematical background
  • Good communications skills, fluent in English
  • The ability to quickly learn new technologies and successfully implement it
  • Good practice in testing and documenting code


  • Experience with high dimensional clustering strategies, generative (e.g. Gaussian Mixture Models) and discriminative (e.g. Random Forest) classification techniques
  • Experience implementing deep learning strategies
  • Experience with cloud development and/or cluster computing
  • An interest in state-of-the-art AI solutions and the future of data as a resource
  • SQL or dynamic database formats
  • Big data frameworks such as Spark

About Securitas

Securitas is a global knowledge leader in security and one of the largest security companies in the world with more than 335.000 employees worldwide. We base our protective services on customer-specific needs through different combinations of on-site, mobile and remote guarding, electronic security, fire and safety and corporate risk management. Everywhere from small stores to airports, our employees are making a difference.

What we offer

  • You will take part in technology transformation, intelligent products, enterprise architecture, and our partners, in defining, developing and implementing the next generation security platform.
  • We offer you the chance to work with products based on both cloud computing and machine learning. As a data scientist, we offer you the chance to build the best possible CV in helping to design the data transformation and machine learning strategies for global intelligent security products. Malmö is the first hub for intelligent products that will go global in the near future, creating more teams around the world from Europe to both North and South America and Asia.
  • Expect a good salary and easy commuting! The office is near the central station in Malmö (less than 10 mins walk), and if you live in Copenhagen (commuting those pesky ~50 min) you will have other great perks that makes the commute more than worth it (https://www.oresunddirekt.dk/oekonomi/skat-i-sverige/sink-skat-i-sverige).
  • A space to further educate yourself through conferences, workshops and more.
  • And of course friendly colleagues, a nice office environment, and great company perks.


Malmö is only where it starts and we are already global. 

We look forward to meeting you!



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We Make A Difference Every Day!

We work in an international, explorative, hands-on and dynamic business environment with customers and users in focus. 

Our core values: Integrity, Vigilance and Helpfulness - are foundations that enable us to build trust with customers, colleagues, partners and our community.

We love going to work and doing what we do.

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