Data Scientist (AI/ML)

TL;DR

Data Scientist (AI/ML): Researching, prototyping, and deploying solutions leveraging Generative AI technologies such as LLMs, Agents, and Embeddings with an accent on building end-to-end AI pipelines and designing robust machine learning models. Focus on MLOps best practices, ensuring data integrity, and championing GenAI advancements in journalism and advertising.

Location: This is a hybrid role, requiring a minimum of three days per week in the office. The team operates across London, Sofia, and Bangalore.

Company

hirify.global is a leading media business in the UK and Ireland, using technology to innovate in media and storytelling for world-class journalism and entertainment.

What you will do

• Research, prototype, and deploy solutions leveraging Generative AI technologies (LLMs, Agents, Embeddings).
• Build end-to-end pipelines to deploy AI models into production, ensuring scalability and performance.
• Design and prototype robust machine learning models and statistical algorithms to address business challenges.
• Partner with stakeholders to deliver impactful solutions and share insights through compelling storytelling.
• Collaborate with interdisciplinary teams, including Product Managers and ML Engineers, to align AI solutions with business needs.
• Develop modular and reproducible code with production-grade quality, focusing on MLOps best practices.

Requirements

• Hands-on experience as a Data Scientist, ideally within a B2C digital product environment.
• Demonstrable experience with Machine Learning, GenAI, and experiment design to solve complex problems.
• Advanced Degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Strong Python programming skills used to create production-grade code and modular solutions.
• Proficiency in SQL for efficiently querying large, complex datasets.
• Knowledge of Cloud Native patterns, specifically within Google Cloud Platform (GCP).
• Clear communication skills to translate technical findings into actionable business needs.
• Collaborative mindset to work effectively within interdisciplinary squads using Agile and Lean principles.

Culture & Benefits

• Hybrid work model with a minimum of three days per week in the office.
• Access to exceptional employee-led networks, including African & Caribbean Network, Parents and Carers, LGBTQ+ group News Is Out, and the Apprentice Society.
• Private medical insurance including coverage for pre-existing conditions.
• Discounted gym memberships, free ClassPass at Home, 'Bikes for Work', and 'Electric Car' scheme.
• A generous pension scheme with employer contributions of up to 5%.
• 25 days holiday, plus bank holidays and up to 4 volunteering days per year.