Data Scientist

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:

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

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

  3. 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

    • Has 1+ 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

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