Sr. Data Scientist - Falcon Cloud Security

CompanyCrowdStrike

LocationLondon, England, United Kingdom

Posted At2/26/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (48.0%).

Occupation Type

Actuaries, economists and statisticians

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£55,100 (£28.26 per hour)

Occupation rate applies

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Description

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About The Role:

CrowdStrike is seeking an exceptional Senior Data Scientist to join our Data Science Studio and drive innovation in cloud security. In this role, you will own machine learning and AI projects end-to-end from initial research and experimentation through development, deployment, and production management.

This is a hands-on technical role for someone who thrives on collaborating with brilliant people and seeing their work make a real-world impact, protecting thousands of organizations worldwide.

What You'll Do:

Lead end-to-end ML projects: Own the complete lifecycle of machine learning initiatives in cloud security from problem formulation and research through model development, deployment, and ongoing production management
Develop production-grade ML models: Build and deploy scalable, robust ML solutions for cloud threat detection, anomaly identification, and security risk assessment
Drive innovation in cloud security: Research and implement state-of-the-art techniques in machine learning and AI to solve novel security challenges in cloud environments
Collaborate cross-functionally: Partner with security researchers to understand threat landscapes, work with engineers to ensure seamless production integration, and engage with product managers to align solutions with customer needs
Mentor and influence: Share knowledge with team members, contribute to technical strategy, and help establish best practices for ML development and deployment
Stay ahead: Work within an ever-advancing team that adopts new R&D technologies

What You'll Need:

5+ years of hands-on experience in data science, machine learning, or AI, with demonstrated ability to deliver production ML systems

Strong ML fundamentals: Deep expertise in machine learning algorithms, statistical modeling, with proven ability to select and apply appropriate techniques to complex problems

End-to-end ownership experience: Track record of taking ML projects from research through production deployment and ongoing management

Production ML expertise: Experience building, deploying, and maintaining ML models in production environments, including monitoring, debugging, and optimization

Programming proficiency: Strong coding skills in Python and ML frameworks; experience with cloud platforms is a plus

Security domain knowledge: Understanding of cybersecurity concepts is highly desirable; experience in cloud security is a significant plus

Collaborative mindset: Excellent communication skills and ability to work effectively with diverse technical and non-technical stakeholders

Problem-solving excellence: Demonstrated ability to tackle ambiguous, complex problems with creative, data-driven solutions

Benefits Of Working At CrowdStrike:

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs

Competitive vacation and holidays for recharge

Paid parental and adoption leaves

Professional development opportunities for all employees regardless of level or role

Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

Vibrant office culture with world class amenities

Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

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What You'll Need:

5+ years of hands-on experience in data science, machine learning, or AI, with demonstrated ability to deliver production ML systems
Strong ML fundamentals: Deep expertise in machine learning algorithms, statistical modeling, with proven ability to select and apply appropriate techniques to complex problems
End-to-end ownership experience: Track record of taking ML projects from research through production deployment and ongoing management
Production ML expertise: Experience building, deploying, and maintaining ML models in production environments, including monitoring, debugging, and optimization
Programming proficiency: Strong coding skills in Python and ML frameworks; experience with cloud platforms is a plus
Security domain knowledge: Understanding of cybersecurity concepts is highly desirable; experience in cloud security is a significant plus
Collaborative mindset: Excellent communication skills and ability to work effectively with diverse technical and non-technical stakeholders
Problem-solving excellence: Demonstrated ability to tackle ambiguous, complex problems with creative, data-driven solutions