**Data Science
Salary:** Up to £90k DOE
Location: London, UK
Type: Full-Time, Permanent
Reports To: Head of Data Science
About Lunio
We are a rapidly scaling SaaS company with a dynamic team of approximately
50 employees. As we continue to grow, we are committed to maintaining our
collaborative, innovative, and people-first, performance-focused culture. At
Lunio, we believe that our employees are our most valuable asset and key to our
success.
.
The Opportunity
At Lunio, we analyze and process billions of traffic data points daily to identify
and prevent wasteful traffic or bot activity, helping our clients improve the quality
and effectiveness of their ad traffic. We’re seeking a seasoned Data Scientist with
strong machine learning expertise to join our team and play a key role in
developing and enhancing our IVT (Invalid Traffic) detection and prevention
models.
In this role, you will focus on building robust, scalable ML systems designed to
detect sophisticated and unsophisticated IVT patterns and adapt to evolving
threats. You’ll collaborate closely with the engineering team to deploy and
monitor models in production environments, ensuring they maintain high
performance and reliability over time. Your work will directly contribute to
protecting our clients’ ad spend and maintaining the integrity of digital
advertising ecosystems.
If you’re passionate about applying machine learning techniques to complex
and ambiguity real-world problems, have a strong analytical mindset, and enjoy
working in a fast-paced, collaborative environment, with a great focus on
research and innovation, this is the role for you.
Key Responsibilities:
Own the design and implementation of robust ML models for detecting
bot traffic and wasteful traffic, ensuring seamless deployment,
versioning, and integration with production systems.
Drive experimentation and prototyping of new algorithms and data
products, validating their potential impact.
Conduct research to surface and detect emerging ad fraud patterns
and evolving threats in large-scale traffic data.
Monitor and optimize model performance post-deployment,
proactively addressing issues such as model drift, latency, and false
positives.
Influence product direction by identifying opportunities to turn insights
and patterns into features or offerings for clients; collaborating cross-
functionally with Engineering, Product, and Commercial teams to
translate business needs into data-driven solutions.
Ensure the reliability, security, and compliance of ML systems with
privacy regulations, infrastructure constraints, and real-world trade-
offs.
Contribute to internal technical standards, mentor peers, and help grow
a culture of high-quality, impact-focused data science work.
Stay at the forefront of ML and ad-fraud detection techniques, bringing
relevant innovations into our product and research roadmap.
Requirements:
Strong experience designing, developing and maintaining ML models.
Deep proficiency in Python, SQL and cloud infrastructure - working with
large datasets, and real-time prediction applications.
Proven experience with AWS, including SageMaker, Lambda, and data
services (e.g., S3, Redshift, etc.).
Familiarity with MLOps best practices.
Comfortable running experiments, building prototypes, and contributing
to product and feature design from a data science perspective.
A strong grasp of system-level thinking - including privacy, compliance,
model explainability, and real-world impact.
Practical and pragmatic, able to balance technical excellence with
shipping value quickly.
Experience in adtech, media or fraud detection is a plus!
Why Join Us?:
Be part of a growing SaaS company where data plays a central role in
decision-making.
Work alongside teams across the business, where your work directly informs
decisions and drives meaningful outcomes.
Competitive salary and benefits package, including flexible working options.
A supportive, inclusive, and diverse company culture.
We’re committed to building a diverse and inclusive team.
We strongly encourage applications from people with backgrounds traditionally
underrepresented in tech. If you’re excited about this role but don’t meet every
single requirement, we’d still love to hear from you!
**Ready to join a winning team and make your
mark in a high-growth SaaS business?
Let’s talk.
recreucriutimtment@[email protected] io.ai