Data Scientist – VLA (London, UK)

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.


We are looking for the Data Scientist – VLA to join our team based in London, UK.

Our Mission

At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.

Vision

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.

Solution

As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

Responsibilities

• Perform data exploration to identify patterns, anomalies, and distributions.
• Conduct descriptive statistics to derive actionable insights.
• Integrate data from multiple sensors and sources for cohesive analysis.
• Apply techniques for normalization, transformation, filtering, and cleaning to ensure data quality and accuracy.
• Collaborate with cross-functional teams to design and manage data collection projects.
• Ensure data consistency and integrity throughout the project lifecycle.
• Develop reports and visualizations to effectively communicate findings and insights.
• Support teams with data-driven recommendations for informed decision-making.

Expertise

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
• Proficiency in Python, R, SQL, or similar programming languages.
• Strong knowledge of statistical methods, anomaly detection, and data visualization tools.
• Experience with sensor data processing, integration, and analysis.
• Excellent analytical and problem-solving skills.
• Strong communication skills to present data insights effectively.
• Ability to manage and prioritize multiple projects in a dynamic environment.

Benefits

• High competitive salary.
• 23 calendar days of vacation per year.
• Flexible working hours.
• Opportunity to work on the latest technologies in AI/ML, Robotics and others.
• Startup model, offering a dynamic and innovative work environment.

How to Apply

Does this role sound like the perfect fit for you?
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