Data Scientist-Consumer or Life Science

  • Full-time

Company Description

We believe in the power of ingenuity to build a positive human future in a technology-driven world.

As strategies, technologies and innovation collide, we create opportunity from complexity.

Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.

An innovation and transformation consultancy, we are over 3,200 specialists in consumer, defense and security, energy and utilities, financial services, government, health and life sciences, manufacturing, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists. We operate globally from offices across the UK, US, Europe, and the Nordics.

PA. Bringing Ingenuity to Life.

Job Description

Your day to day  

We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster. Those that start using AI and advanced data analytics early will gain the most. While the technology is yet to live up to the hype, using it now gives a chance to get ahead, learn and improve to drive long-term value. 

It’s essential to start with developing and deploying use cases and meanwhile building a capability around artificial intelligence, machine learning, and advanced data analytics. It’ll be a key differentiator in the short term, and a necessity in the long term. 

Qualifications

What you bring 

· Degree educated in Computer Science or equivalent knowledge acquired through work experience. 

· Experience working collaboratively with other engineers in small to medium-sized product teams. 

· Ability to write production level code in Python and in depth-knowledge of its ecosystem. 

· Experience designing, building, deploying or maintaining pieces of systems in production. 

· Experience in contributing to the development of small to medium-sized projects such as libraries, frameworks, APIs and software development tools. 

· In-depths knowledge of computer science algorithms, data structures and their time-space complexity. 

· Understanding of highly scaled data problems or ML based products would be an advantage. 

Additional Information

All your information will be kept confidential according to EEO guidelines.

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