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Selected role

Data Scientist - Full Time, London

Lunio London, ENG, GB

$114k Senior Full-time

*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

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