Data Strategist
3 days ago
Futurice GmbH is seeking a skilled Data Strategist to join our team in the UK. As a Data Strategist, you will play a crucial role in shaping the company's data-driven approach and leading the development of innovative solutions.
About the Role
We are looking for a highly motivated individual with a strong foundation in data science, machine learning, and AI concepts. You will be responsible for designing and implementing data pipelines, machine learning models, and AI-powered solutions that drive business growth and improve customer experiences.
Responsibilities
- Lead the development and implementation of data and AI strategies across projects
- Design and oversee the creation of data pipelines, machine learning models, and AI-powered solutions
- Collaborate with cross-functional teams to integrate data and AI capabilities into existing products and services
- Mentor and upskill team members in data science and AI technologies
Requirements
- Strong foundation in data science, machine learning, and AI concepts
- Hands-on experience with data analysis, visualization, and modeling tools (e.g., Python, R, SQL)
- Familiarity with cloud-based data and AI platforms (e.g., AWS, Azure, GCP)
- Understanding of GenAI technologies and applications
- Some experience with data engineering concepts and tools
Benefits
- Competitive salary: £75,000-£100,000 per annum
- Company pension contribution of 6% (increasing with tenure)
- Private health insurance with WPA
- 25 days of holidays + bank holidays and a day off for your birthday
- A tiered parental leave policy
- A Learning budget of £1200 per year for self-initiated learning, books, and training courses
- EV salary sacrifice (dependent on tenure)
- A remote-first setup with two days per month to co-work together in London
About Futurice GmbH
Futurice GmbH is a global design and technology consulting firm with over 800 professionals across 7 offices. We help forward-thinking organizations develop resilience and take control of their futures by putting data to work, rethinking customer experiences, and designing entirely new business models.
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