About Precise TV

Precise TV, the leading contextual video ad targeting company trusted by some of the world's leading brands and agencies. We are a fast growing business focused on online video, helping our clients navigate an advertising world without cookies and third party data, while delivering exceptional results. 

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

Our products and services rely on intelligent features, in depth data analysis, and trained AI models. We work in a fast paced environment where initiative and creativity are key.

Our head office is in London, but we have colleagues all over the world.

Summary of the Role

We’re looking for a Lead Data Scientist who can help lead and develop our analytics and enrichment capabilities across Precise TV to drive data-led decision making and build industry leading data products.

The successful applicant would be joining a passionate data team who care about making a difference and work together to achieve their goals. They will be part of a data science and engineering team that uses industry leading technology to transform the business and make a difference.

The role is a hybrid role, based in our London office 3 days a week (Fitzrovia area) with 2 days working remotely from home. The standard hours are 9-17:30, for a total of 37.5 hours per week, but flexible working is accepted.

Core Responsibilities:

• Lead our Data Science team (2 data scientists and 1 business & data analyst)
• Build new solutions from prototypes to production feature to solve business problems using machine learning and statistical analysis
• Maintain and build upon our existing ML models and solutions
• Influence the direction of the company’s product & data strategy
• Synthesise analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and clearly communicate with both non-data science audiences (such as creatives) and data scientists
• Work closely with the wider data science and engineering team as well as supporting and presenting to multiple stakeholders

Experience & Qualifications:

• 5+ years of relevant industry experience (e.g. data scientist, ML engineer, AI engineer, etc.)
• A degree in Mathematics, Machine Learning, Engineering, Physics or other relevant field (quantitative science based fields preferred)
• Industry experience building or utilising end-to-end Machine Learning infrastructure and/or building and productionising Machine Learning models. (primarily NLP applications)
• Experience with cloud platforms (ideally AWS)
• Experience with command line environment, git, containerisation e.g. Docker
• Experience working on large unstructured data such as text, images or audio with a track record of delivering state of the art data science solutions.
• Strong experience with Python, and experienced with SQL, and NoSQL 
• Experience with the software development lifecycle and process
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimisation and analytics
• Experience leading on projects and delegating tasks
• Excellent verbal and written communications skills
• Proven ability in building relationships and collaborate with stakeholders across large organizations

Preferred:

• Hands on experience with LLMs, LangChain, prompt engineering, RAG etc.
• Experience within the advertising industry
• Experience with tableau, powerBI, or other data visualisation software

Compensation/Benefits:

• Permanent position
• Hybrid work, 3 days office (Fitzrovia, London), 2 days remote
• Competitive salary of £75,000 - £100,000 per year (dependent on experience / skill set) plus performance based bonus potential
• On the job and paid for training (where applicable)
• 25 holiday days per year
• Perkbox scheme
• Pension contribution