Data Scientist

Data Scientist

We’re Phrasee and we help brands say it better. An AI-powered SaaS platform that revolutionises customer experiences through Brand Language Optimization, Phrasee helps visionary enterprises enhance and personalise their customer experiences by optimising the language they use across the full customer journey and spectrum of digital brand channels. 
All brand communications are predicated on one thing: language. In spite of its central role to marketing success, it remains looked upon as a Dark Art – exempt from the scientific rigor applied across the rest of the marketing funnel. Phrasee set out to accomplish the impossible: putting science (and sentiment) behind words. We are rewriting the digital marketing playbook one optimised word at a time. 
Our effortless (borderline magical) platform is proven to boost customer engagement and increase lifetime value for the world’s leading brands, including Dixons Carphone, Domino’s, eBay, FARFETCH, Virgin Atlantic and Walgreens. We absolutely obsess about our customers' success so they can say it better. 
At Phrasee you get to work with a super smart and caring team, who make BIG ideas a reality while having a lot of fun. Our growth plans are fast and global and we want YOU to be a part of our story. 

Our team: 
We are a small, agile and highly motivated product development team.  We have collaborative and flexible working environment, and we love getting stuff done. As a Data Scientist, you will work alongside our world class product and engineering teams to lead research and development of differentiating AI/ML solutions that will enhance our product.  

Our platform: 
Phrasee is a SaaS platform that uses proprietary NLG and Deep Learning to generate and optimize language for use in marketing communications. 
Phrasee is built with Open API’s designed to make it easy for third party technology platforms such as Email Service Provides, to integrate our technology to their workflow.  

What you'll be doing:

    • Reporting to the Lead Data Scientist, you will be working in an agile team, to research, design and build market leading AI/ML solutions that make a material impact to our business and customer experience.  
    • Look to proactively identify and solve business challenges with advanced data science and analytics tools.
    • Coordinate with product and engineering to translate R&D prototypes into production-ready systems.
    • Develop workflows and processes to streamline Phrasee's research and development lifecycles.

You’re a Data Scientist who:

    • Loves numerical data, so naturally keeps on top of all the latest academic and industry developments in Data Science, Machine Learning, and AI.
    • A desire to learn new concepts quickly, and apply them to real customer problems.
    • Can adapt quickly, and calmly, to changing priorities.

You have a range of technical skills including:

    • Hold a Masters or PhD (or equivalent practical experience) in a highly numerical discipline such as maths, physics, statistics or computer science.
    • Have a strong working knowledge of fundamental statistics.
    • Experience with Python – pandas, jupyter and the broader scientific python ecosystem.
    • Ability to apply abstract mathematical concepts to noisy real-world data.
    • Communicate effectively with people across the business who have a variety of backgrounds.
    • Bonus points for knowledge of NLG, NLP, Computational linguistics, Machine Learning DevOps and Data visualization.

What we're offering:

    • We strive to create a fun, friendly, and comfortable working environment.  
    • We believe a good work-life balance is essential.  
    • We're in this business for the long haul. We give our team time to think and to do things right.  
    • Our team is a democracy. Everybody has a voice in how things are done.  
    • We offer a competitive salary and benefits, but most importantly, a chance to work for a young, scale up company with and AWESOME team and culture, and a cutting-edge product that actually shows the value of AI!  
This role is remote, with a base in the UK required.
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