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Principal Data Scientist
Job summary
An innovative precision marketing agency is seeking a Lead Data Scientist to revolutionize marketing strategies using advanced Data Science and Machine Learning solutions. This pivotal role combines hands-on technical work with team leadership, focusing on building predictive models and AI-powered solutions to tackle complex marketing challenges. The ideal candidate will have a strong academic background, proven experience in machine learning, and proficiency in various programming tools. Join a forward-thinking team that values creativity and data-driven insights, and make a significant impact on client growth and marketing success.
Qualifications
- Strong academic background in Computer Science, Mathematics, or Physics.
- Proven experience in machine learning applications for marketing.
Responsibilities
- Oversee data science projects and guide junior team members.
- Build predictive models for campaign optimisation and customer segmentation.
Skills
Education
Tools
Job Description
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, you’ll 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.
- 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.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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