SoSafe has the ambition to become the leading human risk management provider in Europe. Our award-winning awareness platform triggers behavioural change by providing effective and engaging training and simulations on cybersecurity and data protection. Cybercrime is costing the world >$10 trillion annually and growing by 15% p.a. - we invite you to be part of the solution!
We’re seeking an Applied Data Scientist with a strong product and ownership mindset to help establish and grow SoSafe’s data science capabilities. As the first role of this kind in the organization, you will have the freedom to explore and prototype, supported by the direct mentorship of our Head of Product Analytics & Data Science and a collaborative Data & Insights team.
You’ll play a central role in defining how we measure human cyber risk, leveraging the activity of over 5 million users to turn behavioral patterns into actionable product decisions. This role sits at the intersection of data, strategy, and real-world impact, helping us prove exactly what triggers positive cyber security behavior change.
Here's how you'll make a difference:
Make analytics decision-grade, not just visible, by strengthening and standardizing core security and awareness metrics
Build trust in data by defining validation rules and ensuring metrics are consistent, interpretable, and comparable over time
Own and evolve our human cyber security risk model into a stable, explainable, and defensible scoring system
Turn insights into action by defining and measuring targeted interventions that reduce risk
Ship production ready models in close collaboration with Engineering and MLOps
Communicate complex insights clearly to Product, Customer Success, and leadership
Take ownership and help shape direction in a fast-moving, growing product environment
What makes you a great fit:
3+ years of experience in Data Science or Applied ML, ideally in a B2B SaaS environment
Strong experience working in finding patterns in user behavioral or risk-related data using statistics
Working experience building and evaluating ML models used in customer-facing products. Experience with recommendations or decision-support systems is a plus
Working experience in collaborating with engineers (Data Engineering/ML Ops) to productionize models
Strong Python and SQL skills; experience with dbt, Airflow, docker or sagemaker is relevant
Ability to explain data-driven insights clearly to both technical and non-technical audiences
A pragmatic, ownership-driven mindset with a focus on real-world impact
What we offer*
Work/Life balance: Flexible hours, 33 vacation days
Wellbeing and financial support: Access to Open Up, corporate discounts
Connection & community: Virtual events, collaborative team activities, and opportunities for local meet-ups
And the list goes on: Tech equipment, referral bonuses, dog-friendly HQ
*Perks and benefits listed above are for full-time employees and may vary slightly by office location. These are just a sample — you'll learn more during the interview process.
About Us
At SoSafe, we’re on a mission to make the digital world safer by addressing the human factor in cybersecurity. As one of the fastest-growing security awareness scale-ups worldwide, we leverage behavioural science and data-driven learning to empower people against cyber threats. Our Human Risk Management approach helps organisations turn their employees into their strongest line of defence.
Backed by leading VCs like Highland Europe and Global Founders Capital, we’re rapidly expanding across the globe. We’re looking for team players who want to drive meaningful change in cybersecurity, take ownership of their work, and grow with us.
If you thrive in a vibrant, purpose-driven environment that values innovation, diversity, and collaboration, then this is the place for you!
