Data Scientist

About you

You are an ambitious and capable data scientist with a background in computational statistics and machine learning with multiple years of industry experience. You have put relevant statistical and machine learning techniques into practice in production settings understanding the pitfalls encountered with optimising data pipelines and applications. Previous work in a biomedical sector would be beneficial but not mandatory. You care about impact and want to do work that matters.

List of main duties and responsibilities:

• Developing and deploying ML models (Python)
• Performing statistical analysis on multimodal datasets
• Managing code in a production environment
• Optimising and scaling existing data pipelines
• Contributing to academic publications

Skills

• Production level Python experience
• Good communication and data visualization skills
• Strong understanding of statistical and ML techniques (experience with Computer Vision would be beneficial)
• Experience with commonly used data science libraries (sklearn pandas numpy)
• Experience with deep learning frameworks (Tensorflow PyTorch Fastai) is beneficial but not necessary
• Familiar with git bash and coding best practices
• Familiarity with AWS (EC2 S3 Lambda Batch) would be beneficial

Experience

• 3 years industry experience

Qualifications

• BSc & MSc (at least one of these should be in statistics data science or a similar field)

Culture

A fastmoving startup with an energetic and dynamic team looking to disrupt the MedTech industry with AI. Our employees are encouraged to take on the sort of career development opportunities that cannot be found at larger more established companies. We are in the highly regulated medical device industry so our engineering team has to have an even greater focus on quality usability and versatility. We also like to blow off steam whether thats playing a few rounds of table tennis in the office or arranging an online gaming session.

Company Benefits

• Competitive salary
• Employee equity programme
• Pension
• 25 days annual leave ( bank holidays)

Additional information

• Experience level: Mid
• Tech stack used: Python AWS
• Primary skills we consider: Python Sklearn
• Secondary skills we consider: AWS Tensorflow PyTorch Fastai
• Employment type: Permanent and Full time
• Visa sponsorship: Available