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  "job_description": "Data Science\n\nSalary: Up to £90k DOE\n\nLocation: London, UK\n\nType: Full-Time, Permanent\n\nReports To: Head of Data Science\n\nAbout Lunio\n\nWe are a rapidly scaling SaaS company with a dynamic team of approximately\n\n50 employees. As we continue to grow, we are committed to maintaining our\n\ncollaborative, innovative, and people-first, performance-focused culture. At\n\nLunio, we believe that our employees are our most valuable asset and key to our\n\nsuccess.\n\n.\n\nThe Opportunity\n\nAt Lunio, we analyze and process billions of traffic data points daily to identify\n\nand prevent wasteful traffic or bot activity, helping our clients improve the quality\n\nand effectiveness of their ad traffic. We’re seeking a seasoned Data Scientist with\n\nstrong machine learning expertise to join our team and play a key role in\n\ndeveloping and enhancing our IVT (Invalid Traffic) detection and prevention\n\nmodels.\n\nIn this role, you will focus on building robust, scalable ML systems designed to\n\ndetect sophisticated and unsophisticated IVT patterns and adapt to evolving\n\nthreats. You’ll collaborate closely with the engineering team to deploy and\n\nmonitor models in production environments, ensuring they maintain high\n\nperformance and reliability over time. Your work will directly contribute to\n\nprotecting our clients’ ad spend and maintaining the integrity of digital\n\nadvertising ecosystems.\n\nIf you’re passionate about applying machine learning techniques to complex\n\nand ambiguity real-world problems, have a strong analytical mindset, and enjoy\n\nworking in a fast-paced, collaborative environment, with a great focus on\n\nresearch and innovation, this is the role for you.\n\nKey Responsibilities:\n\nOwn the design and implementation of robust ML models for detecting\n\nbot traffic and wasteful traffic, ensuring seamless deployment,\n\nversioning, and integration with production systems.\n\nDrive experimentation and prototyping of new algorithms and data\n\nproducts, validating their potential impact.\n\nConduct research to surface and detect emerging ad fraud patterns\n\nand evolving threats in large-scale traffic data.\n\nMonitor and optimize model performance post-deployment,\n\nproactively addressing issues such as model drift, latency, and false\n\npositives.\n\nInfluence product direction by identifying opportunities to turn insights\n\nand patterns into features or offerings for clients; collaborating cross-\n\nfunctionally with Engineering, Product, and Commercial teams to\n\ntranslate business needs into data-driven solutions.\n\nEnsure the reliability, security, and compliance of ML systems with\n\nprivacy regulations, infrastructure constraints, and real-world trade-\n\noffs.\n\nContribute to internal technical standards, mentor peers, and help grow\n\na culture of high-quality, impact-focused data science work.\n\nStay at the forefront of ML and ad-fraud detection techniques, bringing\n\nrelevant innovations into our product and research roadmap.\n\nRequirements:\n\nStrong experience designing, developing and maintaining ML models.\n\nDeep proficiency in Python, SQL and cloud infrastructure - working with\n\nlarge datasets, and real-time prediction applications.\n\nProven experience with AWS, including SageMaker, Lambda, and data\n\nservices (e.g., S3, Redshift, etc.).\n\nFamiliarity with MLOps best practices.\n\nComfortable running experiments, building prototypes, and contributing\n\nto product and feature design from a data science perspective.\n\nA strong grasp of system-level thinking - including privacy, compliance,\n\nmodel explainability, and real-world impact.\n\nPractical and pragmatic, able to balance technical excellence with\n\nshipping value quickly.\n\nExperience in adtech, media or fraud detection is a plus!\n\nWhy Join Us?:\n\nBe part of a growing SaaS company where data plays a central role in\n\ndecision-making.\n\nWork alongside teams across the business, where your work directly informs\n\ndecisions and drives meaningful outcomes.\n\nCompetitive salary and benefits package, including flexible working options.\n\nA supportive, inclusive, and diverse company culture.\n\nWe’re committed to building a diverse and inclusive team.\n\nWe strongly encourage applications from people with backgrounds traditionally\n\nunderrepresented in tech. If you’re excited about this role but don’t meet every\n\nsingle requirement, we’d still love to hear from you!\n\nReady to join a winning team and make your\n\nmark in a high-growth SaaS business?\n\nLet’s talk.\n\nrecreucriutimtment@t@lunliuo.ani io.ai",
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