Remote Early-Career Data Scientist β€” AI & Analytics

Remote Early-Career Data Scientist β€” AI & Analytics

Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Bending Spoons

At a Glance

  • Tasks: Build and improve data pipelines while collaborating with engineers on analytics.
  • Company: Bending Spoons, a forward-thinking tech company focused on AI and analytics.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team in a fast-paced environment with great career potential.
  • Why this job: Leverage AI to uncover insights and support impactful decision-making.
  • Qualifications: Proficiency in English and a collaborative mindset are essential.

The predicted salary is between 30000 - 40000 Β£ per year.

Bending Spoons is hiring for a data role focused on building and improving data pipelines and analytics across the company.

You’ll work with engineers to ensure data accuracy, scalability, and robust reporting, while developing internal tools and data products used by product teams.

You’ll also partner to support company-wide decision-making and leverage AI to speed up work and uncover insights.

  • The role emphasizes collaboration, initiative, and English proficiency in a fast-paced,
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Remote Early-Career Data Scientist β€” AI & Analytics employer: Bending Spoons

Bending Spoons is an exceptional employer that prioritises employee growth and development, offering significant opportunities for advancement in a dynamic and supportive work environment. With competitive pay and flexible work arrangements, our London-based team thrives on collaboration and innovation, making it an ideal place for driven individuals to excel in their careers while enjoying a healthy work-life balance.

Bending Spoons

Contact Details:

Bending Spoons Recruitment Team

We think you need these skills to ace Remote Early-Career Data Scientist β€” AI & Analytics

Data Pipeline Development
Data Analytics
Data Accuracy
Scalability
Reporting Skills
Internal Tools Development
Data Product Development