Data Scientist


London | Full-Time

See all Devas jobs →

Data Scientist/Co-founder


We are looking for a co-founding Data Scientist who is passionate about being part of a highly impactful business tackling some of the biggest issues in mental health.

About us

What hard problem are we trying to solve?

Like many things in life, mental wellbeing is not binary, you are not either 'well' or 'depressed' and nobody stays at one point their whole life (and most not even on the same day for that matter).

​We all experience periods of low or negative mood, sometimes we can handle these ourselves, but sometimes they can take us to darker places that are more difficult to escape from.

Identifying depression is really hard, we’re often reluctant to seek help and even close friends and partners miss the signs as many of us are great at hiding how we feel. But what we can’t see, we can’t help.

While mental health awareness and support has grown massively in recent years, at Devas we believe we are still at the tip of the iceberg when it comes to identification, especially for very early stage issues or when they are considered too ‘minor’ for formal intervention.

Devas will change that.

What is the product?

Devas is a mobile app that uses your mobile phone/device behaviour (e.g your call and messaging activity, screen-time, social media usage, location and physical activity) to identify when you are in a lower mood or depressed state.

Then when these mood states inevitably appear, we want to get you out of them ASAP, before they manifest themselves in more sinister ways.

Devas relies on 'Guardians', these are your best friends, partners, relatives or anyone else you feel you can trust.

We'll let them know if we think you aren't yourself and help them to try and help you, no immediate professional intervention, no chatbots, just someone you trust to talk to.

Devas isn’t just for those who feel like they have had mental health issues before, it’s for everyone.

We need to pay better attention to our mental health, it’s just good hygiene, and owe it to ourselves to do everything we can to live our lives to the fullest, helping others out in the process.


We need to take Devas from being a concept to a reality. To do this effectively we need someone who deeply understands data. Academic research shows that there are strong links between various mobile phone behaviours and lower mood/negative emotions/depression.

We want to convert the mobile behavioural data we collect in Devas into an algorithm that can identify depression in users, learning each user’s unique behaviours and customising algorithms to their own actions.

If we get it right we’ll be able to intervene and get them help from their friends, partners or family at a much earlier stage than they do now.

About you

We are looking for someone who:

- Is passionate about solving problems in the mental health space

- Has experience implementing data science methods such as machine and deep learning

- Is comfortable scaling data science projects

- Is extremely curious

- Is knowledgeable of statistical methods and techniques

- Cares about protecting user data and privacy

- Is incredibly proactive

- Is comfortable working in a lean/agile environment

- Is data-driven in making decisions and enjoys thinking about problems from first principles

- Is persistent and doesn’t mind failing

We are not too fussed if you don’t have years and years of experience, we’ll take smarts over experience any day of the week, as long as you are a fast learner and passionate about the idea.

What we can offer

We can hold our hands on our hearts and say, if we achieve what we set out to, that the world will be a much better place as a result, for everyone. How many places can you work where you can say that?

Also, as you can imagine, given our mission, a people-first culture is incredibly important to us; we believe that to build a great company you have to start by hiring and developing incredible people.

Being one of the founding members of the team you will have an amazing opportunity to shape ours, making it everything you think it should be in order for us to create something spectacular.

In terms of compensation you would take equity in the business, with %s negotiable based on your skillset and ability. If this is a sticking point (i.e. you absolutely must be salaried) please do still apply so we can understand what you are looking for.