Data Scientist

We are seeking a  Data Scientist to drive the development of cutting-edge AI solutions for delivering hyper-personalised ads in the Connected TV (CTV) space. This is a unique opportunity to build models and solutions from scratch, driving innovation and making a direct impact on the technological direction of the platform. You will work with LangChain, OpenAI, and Retrieval-Augmented Generation (RAG) to build intelligent systems that transform real-time ad targeting.

Main Resposibilities:

• Design, develop, and deploy AI models from the ground up, leveraging LangChain, OpenAI, and RAG to enable hyper-personalised ad delivery at scale.
• Implement natural language processing (NLP) techniques to enhance the relevance and targeting of real-time ads across the CTV platform.
• Build and optimise retrieval-augmented generation systems for fast, accurate ad targeting and content recommendations.
• Lead the end-to-end lifecycle of AI model development, from ideation and design to deployment and optimisation, having full ownership of the solutions you create.
• Collaborate closely with engineering and product teams to integrate models that improve ad relevance, targeting precision, and overall platform performance.
• Develop methods to process and analyse vast amounts of real-time user data for generating actionable insights that improve ad personalisation.
• Stay updated on the latest developments in AI, NLP, and recommendation systems, ensuring the platform remains at the forefront of innovation.
• Ensure models are ethically sound, fair, and transparent in their decision-making.

Requirements

• 5+ years of experience in data science, machine learning, or AI roles, with a strong background in NLP and recommendation systems.
• Expertise in LangChain, OpenAI, or similar language models and generative AI technologies.
• Proven experience with Retrieval-Augmented Generation (RAG) and its application in real-time, large-scale systems.
• Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Proficiency in SQL and NoSQL databases (e.g., MongoDB, PostgreSQL) for handling and querying large datasets.
• Experience with big data processing frameworks such as Apache Spark, Hadoop, or Kafka for managing and analysing real-time data streams.
• Experience in cloud platforms (preferably AWS) for deploying and scaling AI models in production.
• Solid knowledge of version control systems like Git, CI/CD pipelines, and containerisation technologies (e.g., Docker, Kubernetes).
• Experience in AdTech, e-commerce, streaming, highly personalised content delivery, telecommunications, financial services, healthtech, or gaming (especially dealing with user behaviour data, real-time analytics, and recommendation systems) is highly preferred.
• Strong analytical skills with experience in data-driven decision-making, model evaluation, and performance optimisation.
• Passion for innovation with the drive to create and shape solutions from scratch that will impact millions of users.

Why Join Us:

• Be part of an industry-leading project that will change the way ads are delivered in the Connected TV space using state-of-the-art AI technologies.
• Enjoy the rare opportunity to build models and solutions from the ground up, with the ability to shape the platform’s future and have a lasting impact on the technology.
• Collaborate with an elite team of data scientists, engineers, and AdTech experts on a project that offers both challenges and rewards.
• Enjoy a flexible working environment, a competitive salary, and the opportunity to work on a game-changing platform that reaches millions of users globally.

Benefits

• Solid, competitive salary.
• Work in multilingual, multinational and multicultural environment on international projects
• Medical care