Senior AI/ML Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Data Scientist on a 12-month FTC, offering a salary of circa £80,000 in London. Key skills include Python, SQL, and machine learning deployment. A degree in a numerate subject or equivalent experience is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
364
🗓️ - Date discovered
May 15, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Unknown
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
United Kingdom
🧠 - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #SQL (Structured Query Language) #Deployment #PySpark #Spark (Apache Spark) #Python #Data Science #Programming #"ETL (Extract #Transform #Load)"
Role description
Senior AI/ML Data Scientist Salary: London circa £80,000 12-month FTC Do you have a passion for technology and in particular AI and Machine Learning? If so, we have an exciting position for a Senior AI/ML Data Scientist to join our Customer Science team. Our Customer Science team uses data to understand customers so we can be more relevant and take better actions.  We are award-winning, and passionate about driving better customer and commercial outcomes. A bit about the role: As one of the Senior Data Scientist, you will build productionised solutions, working within cross-functional teams to bring state of the art machine learning to our business. You will partner with colleagues to identify opportunities to apply AI and make a difference to real business problems, in addition to building high impact models that power our customer and marketing transformation. This role is offered as a 12-month fixed-term contract with the opportunity to transition into a permanent position, based on performance and business needs. Skills and experience we’re looking for: • Educated to degree or post-graduate level, in numerate/programming-oriented subject, or able to demonstrate equivalent knowledge through industry experience • Extensive experience of using Python and SQL-like languages in data science - Pyspark desirable • Good knowledge with creating end-to-end machine learning deployments • Experience of building strong relationships with senior stakeholders and non-experts • A positive attitude and a “can-do” approach