5 дней назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Python/SQL): Designing, developing, and deploying data science, machine learning, and automation solutions for audience analytics and media business problems with an accent on data modelling, data quality, and agentic techniques. Focus on hypothesis testing, building scalable workflows with engineers, and translating complex analytical findings for technical and non-technical stakeholders.
Location: London, United Kingdom; hybrid work with teams in the office around four days a week. Applicants must have the right to work in the UK.
Company
is WPP’s AI-driven media operating unit, combining media, data, partnerships, and the WPP Open marketing platform to deliver personalized media solutions at scale.
What you will do
- Design, develop, and deploy data modelling and automation solutions for client business and audience analytics needs.
- Research and apply modern data science, machine learning, statistical, and agentic techniques.
- Perform hypothesis testing, data preparation, product prototyping, and rigorous data cleaning and preprocessing.
- Lead data science projects and collaborate with engineers to bring models into scalable, maintainable production workflows.
- Monitor data quality, identify redundancies, bias, and reliability issues, and implement improvements.
- Collaborate with analytics and business teams and communicate complex findings to technical and non-technical stakeholders.
Requirements
- Proven experience in applied data science, analytics, or ML engineering.
- Advanced Python skills, including pandas, numpy, scikit-learn, scipy, and statsmodels.
- Strong SQL skills and experience working with large-scale, multi-source data.
- Experience with Git, collaborative coding workflows, data visualization platforms beyond Power BI and Tableau, and data governance.
- Experience building advanced solutions for audience analytics and insights, including AI methodologies for data manipulation and insight generation.
- Right to work in the United Kingdom is required.
Nice to have
- Bachelor’s or advanced degree in Statistics, Economics, Business, Mathematics, or a related science.
Culture & Benefits
- Open and inclusive environment focused on trust, respect, collaboration, and professional growth.
- Employee resource groups and frequent in-office events.
- Medical, retirement, vision, and dental insurance.
- Paid time off, partner discounts, and employee mental health awareness days.
- Access to global and WPP networks, learning opportunities, and professional connections.
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