6 дней назад
Data Science Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Lead (AI): Translating client business problems into analytics solutions and overseeing data science projects with an accent on statistical analysis, machine learning, and data visualization. Focus on managing client relationships, guiding junior data scientists, and structuring complex analytical insights for business users.
Location: Amsterdam, Netherlands
Company
is a global consulting firm delivering AI and data, digital commerce, marketing and design, and advisory solutions across multiple industries.
What you will do
- Manage client interactions and build lasting client relationships.
- Translate business problems into clear data science and analytics solutions with measurable outcomes.
- Provide project management oversight and coordinate delivery against client expectations.
- Prepare presentations and manage external stakeholder relationships.
- Identify opportunities beyond the scope of current projects.
- Guide junior team members and orchestrate the work of multidisciplinary teams.
Requirements
- Master's or Ph.D. degree in a quantitative field focused on data analysis, such as econometrics, AI, mathematics, physics, or another exact science.
- Strong statistical knowledge and analytical thinking.
- Experience with databases and analytical tools, including SQL, BigQuery, NoSQL, R, Python, Tableau, Power BI, and machine learning.
- Proven project management experience with expert teams and experience guiding junior colleagues.
- 5–7 years of consulting or relevant industry experience, including at least 1 year at project lead level.
- Professional fluency in English and the ability to explain complex analytical concepts to non-technical business users.
Nice to have
- Understanding of data engineering solutions.
Culture & Benefits
- Collaboration with senior client stakeholders to drive business impact.
- Work across the full data lifecycle, from acquisition and exploration to analysis, interpretation, and visualization.
- International and diverse environment with multidisciplinary experts.
- Culture focused on curiosity, collaboration, diversity, equity, inclusion, and belonging.
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