Principal Data Scientist (London)

New Yesterday

Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application. Lead/Principal Data Scientist London Hybrid (3 days a week) 90,000 - 115,000 + Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team, youll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands-on role, with around 20% team leadership. What Youll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights to technical and non-technical stakeholders. What Were Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory.
#J-18808-Ljbffr
Location:
London
Salary:
£90,000

We found some similar jobs based on your search