My client believes that the future of employee engagement analytics lies in extracting deeper insight from natural language comments. Consequently, we they looking for an experienced data scientist to contribute towards their NLP research and development projects, developing product enhancements that use natural language to help their clients understand what matters to their employees.
You will primarily be responsible for the design, initial development and evaluation of NLP solutions across a range of products. You will keep up-to-date with emerging research and identify opportunities where it may be applied, create proof-of-concept implementations, and suggest product improvements that may take advantage of your work.
You will be a major contributor towards the wider data science vision and product roadmap, working with the Director of Data Science and the Product Team to construct a backlog of prioritised research and development that will lead to the development and release of major features.
You will be contributing code regularly and participate in the day to day work by participating in code reviews and architectural discussions regarding features and products.
You will work closely with engineering teams, as well as product management and design, to provide technical guidance and support concerning data science solutions.
While this is a role focussed on the application of modern NLP techniques within industry, there is some scope to also conduct original research and participate in the wider research community through publication and conferences.
You either have substantial experience of working on NLP problems in industry, or you have a strong academic research track record in a related area.
You are able to clearly communicate your work, and are able to work with engineering teams, product managers and the wider company to explain the opportunities that it unlocks.
You have a keen sense of business and are able to understand the balance between academic rigour and practical product, customer and business requirements.
Our ideal candidate has/is...
· Previous practical experience with advanced topic/aspect modelling.
· Experience working with short (one sentence) documents or survey data.
· Experience with AWS, Tensorflow and the Python Data Science Stack.
· Detail-oriented, with a high bar for accuracy and quality
· Self-organising and structured
We welcome your application even if you do not meet all of the criteria listed above, but are excited about the challenge of mastering this role. We know that skills are not static and growth is continuous, so we are excited to help you take your career to the next level at Peakon.
· Unlimited holiday
· Subsidised lunch every Friday
· Flexible working
· Company wide trips
· Choice of hardware
· Flexible travel policy