Waive is a Content Intelligence and Marketing Platform. By listening and monitoring what people read, search, share, like and talk about, we identify and track current trends, forecast their changes and predict emerging ones with the primary goal of bringing actionable and intelligent insights that empower brands to create great content that is relevant and timely.

At Waive we are a small team with end-to-end responsibility for delivering a customer-focused platform. To succeed you’ll be a passionate problem solver, capable of taking on any challenge that is thrown your way. This is the perfect opportunity for a Senior Data Scientist who wants to work in an early stage start up and become the Chief/Director of Data Science.

There’s more to Waive than a great startup culture; we are using state of the art AI and machine learning frameworks to do something that no one has done before. Be a pioneer.

You will:

Join the company at an early stage, helping shape and build the product, grow the team and have an impact on the direction of the company.

Be responsible for the data behind Waive. Everything behind Waive’s intelligence, from data sources, structure, management and access through to the ML algorithms, and infrastructure now and at scale will be within your remit.

Work with the founder and the CEO to design and plan delivery of the first market & investor ready solution.

Develop and execute the roadmap starting from involvement in actual product development work.

Be responsible for hiring and managing your team of data scientists, data engineers and software engineers.

Be pragmatic and iterate quickly; perform experimental design approaches and pivot if and when necessary.

Recommend ongoing improvements to the methods and algorithms which help improve the depth and breadth of the insights.

Build algorithms that touch the cutting edge of statistics and machine learning





The desire to explore new applications of ML to marketing technologies, with the energy, drive, and vision to build what has never been built before

Understand the reality and have a proven track record of scaling high capacity big data systems

Have an academic curiosity and business mindset.

Practical skills:

Strong Python programming experience with an ability to write clean and maintainable code

Experience using ML libraries and tools, including TensorFlow

Experience building and working with distributed architectures, like Google Cloud

Nice to have:

Start-up or media experience

Successful academic background in your specialist discipline

Experience with NLP and information retrieval

Experience with computer vision techniques

Knowledge of additional languages like Hadoop MapReduce or other big data frameworks (Google Cloud Platform), Java or Scala

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