Lead Data Scientist

Brief description

You will join the growing feature engineering team within 6point6’s data practice. The anticipated project work involves hands-on machine learning and data science (particularly in deep learning areas); from innovation through to deployment using machine learning operations (MLOps) best practice.

We set high standards for delivering excellent work to clients and have fostered a happy, productive, and multi-disciplined team to enable us to do this effectively. We welcome applications from candidates who have a breadth of skills including software engineering and cloud knowledge, as well as being comfortable in a client-facing role. It is expected that you would have conducted numerous data science projects and recognise the pitfalls to help ensure our clients don’t make them. You will also have an opportunity to contribute to the 6point6 internal data practice strategy and thought leadership and shape our team as it continues to grow.

Role and responsibilities

• Keep up to date with current high impact work in the machine learning field, specialising in one area such as deep learning
• Lead and/or develop solutions to problems using machine learning techniques and MLOps practice
• Innovate with new ideas and provide thought leadership on client projects
• Communicate findings, results, or proposals internally and externally (such as presentation and documentation)
• Identify and help address gaps in knowledge in the feature engineering team and within project work.
• Answer data science problems and communicate findings both internally and externally
• Be up to date with current research
• Identify training for the feature engineering team

Requirements

Candidates must have a PhD in physics, mathematics, statistics, computer science, machine learning, data science, or related discipline. This is, in part, a theoretical role and you should be comfortable with the mathematical underpinnings of data science algorithms and translating them to code.

Essential skills:

• Conducted research in previous role
• Experience in python
• Experience using a numerical library like tensorflow, pytorch, jax, numpy, spacy
• Experience of good working practices in software/agile/knowledge sharing
• Strong understanding of statistical methods and modelling
• Excellent written and verbal communication skills

• Ability to translate paper to code
• Developing solutions using machine learning or deep learning in a commercial environment

Desirable

• Experience working with unstructured data (text, images)
• Experience with Natural Language Processing (NLP)
• Up to date knowledge of NLP models and datasets