Senior Data Scientist - remote

Posted 3 years ago • London, UK

Data Science at Tessian

Our mission is to secure the human layer. This involves deploying near real-time machine learning models at massive scale to some of the world’s largest organisations to keep their most sensitive data private and secure. To do this, we're looking for a senior data scientist with NLP experience ready to work on hard problems, drive best practice and cultivate an environment of experimentation and learning. Companies can leverage data science in a number of ways, and we think the role of a Data Scientist falls into three distinct categories:

You work for a business function analysing &reporting on how to improve a key metric, e.g increasing user conversion

You are responsible for writing production models to enhance the main product, e.g recommendation systems for e-commerce

You build the product - without machine learning, it wouldn't exist

The Data Science team built the product at Tessian. We couldn't exist without our machine learning models;they are at the heart of what we do, and they are what our clients rely on day-to-day. We're searching for a Senior Data Scientist who is excited about the opportunities and challenges that come with researching, building and deploying real-time production models.

On a day to day basis you'll get to

Work across massive enterprise email datasets
Train and deploy models to production that impacts directly our customers and products
Improve our ML workflow
Work closely with our Engineering and Product Team to enhance our products.
Make your mark on ambitious projects

We'd love to meet someone who

3+ years Data Science experience
Can balance longer term projects alongside impactful quick wins
Cares deeply about the impact their team has
Is creative at heart, and can encourage novel ways of thinking in their team. This has always been a core part of the data science team’s DNA
Reads Rules of Machine Learning - Martin Zinkevich and it resonates with how they think about machine learning and data science
Enjoys “getting their hands dirty”by digging into complex operations
Takes responsibility for delivering large projects that require collaboration from start to finish
Has strong listening skills;open to input from other team members and departments
Has worked with, or understands the principles behind working with data at scale

Apply