Applied Data Scientist

Sosafe Awareness; Remote; GBP 60,000 - GBP 80,000; Full time

Job summary

A leading cybersecurity awareness platform in the UK is seeking an Applied Data Scientist to establish and grow its data science capabilities. You will define metrics for human cyber risk and turn insights into product actions, collaborating closely with engineering teams. The ideal candidate has over 3 years of experience in Data Science or Applied ML, particularly in B2B SaaS. This role offers a dynamic work environment focused on meaningful impact in cybersecurity, with comprehensive support and benefits.

Benefits

Wellbeing and financial support

Virtual events and team activities

Tech equipment and referral bonuses

Dog-friendly office

Qualifications

• 3+ years of experience in Data Science or Applied ML, ideally in B2B SaaS.
• Strong statistics background in finding patterns in user behavior or risk data.
• Experience building and evaluating ML models for customer-facing products.

Responsibilities

• Strengthen and standardize core security and awareness metrics.
• Build a stable, explainable human cyber security risk model.
• Collaborate with Engineering and MLOps to ship production-ready models.

Skills

Data Science

Applied Machine Learning

User Behavior Analysis

Python

SQL

Collaboration with Engineers

Tools

dbt

Airflow

Docker

Sagemaker

Job description

Location
Lisbon, London, Ireland Remote, United Kingdom Remote, Portugal Remote, Dublin

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*

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!

The human risk platform that deploys in days, not months

Implement enterprise-grade security awareness in just 2 days with only 20 minutes of management time required.

See how our gamified, micro-learning approach gets 70% active reporting in 6 months.

See how organisations like yours reduced phishing click rates from 20% to 3.5% in just 18 months.

Compliance & security

Experience our products first-hand

Use our online test environment to see how our platform can help you empower your team to continuously avert cyber threats and keep your organization secure.