Tessian, formerly CheckRecipient, was founded in 2013 to solve the problem of highly sensitive emails being sent to the wrong people.
Tessian is on a mission to transform the way enterprises secure their communication channels. We build advanced machine intelligence to help organisations protect their communications and filter out threats without them having to define what a threat looks like.
We believe data scientists can fall into three valuable roles:
Tessian couldn't exist without our machine learning models; it’s at the heart of what we do, and it’s what our clients rely on day-to-day. We're looking for data scientists who are excited about the opportunities and challenges that come with researching, building and deploying real-time production models.
We're looking for applicants with a minimum of 2 year's production experience, or you've completed a machine learning/statistics/physics PhD and want to become more applied. You should have experience owning complex projects from start to finish.
As a Tessian Data Scientist you will
Tessian is a machine intelligent email security platform to automatically prevent cybersecurity threats like spear phishing, misaddressed emails, unauthorized emails (data loss) and non-compliance.
We’re a team of mathematicians, data scientists & engineers building breakthrough machine learning and natural language technology to analyse, understand & protect enterprise email networks.
We’ve just announced our raise of £9m ($13m) in a Series A round led by Balderton Capital and Accel Partners. Last year our business grew 400% and our team expanded from 13 to 50 people; we have ambitious growth plans for the next year, spanning all areas including our product offerings and our sales & marketing divisions. We’re excited about where this next phase of our growth will take us - we hope you are too, so we encourage you to apply today to be part of the next leg of the Tessian journey.
We’re backed by world-leading venture capital funds who’ve invested in companies like Facebook, Slack, Dropbox, Improbable & Transferwise & we’ve been named on the prestigious Forbes 30 Under 30 list, crowned the “Best Security Startup” by WIRED magazine, and awarded “Best Innovation in Data Protection & Privacy” by CogX.
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