At Datasparq, we put our people first. After all, it's our people that make our business special.
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At Datasparq, we work a little differently with our Data Science recruitment. If you have a great skill set and track record in working on data science and optimisation projects, then we want to help you get onboard with us. We will tell you what we’re looking for; we will give you guidance on how to make the most of your application during the process. We want you to succeed in getting the role and then we want to help you to excel in the role itself. We want to help you develop your career in Data Science; get into new areas of data science; help you inspire others to success; and develop impact from landed Data Science projects. We want you to bring your teammates with you on that journey so we all get to benefit from the joint endeavour.
Most of all we want you to enjoy what you do and further enthuse the team with that enjoyment!
A Senior Data Scientist should have:
We would look for a Senior in our team to have a selection (not all) of these attributes already or be more than willing to engage in these once they arrive.
A Senior Data Scientist should expect to be:
Datasparq is a specialist AI & data firm that designs, builds and runs high-impact AI & data solutions. We build bespoke AI and data science tools—and turn them into robust, reliable services for our clients.
We are a highly dedicated team of experienced data scientists, engineers, product designers and visualisation professionals who between us solve impactful problems for a diverse range of companies from international airlines to multinational pharmaceutical companies to luxury global hotel brands.
We start with research and iterate—using lean startup principles—to quickly uncover impactful solutions to high-value challenges. Our product team ensure that we build the right solution in the right way. Our data science team ensure that the AI and data science solutions we build are best-in-class. And, our engineering team ensure that solutions are robust and ready to be deployed in the real world. When it comes to operationalising solutions, we run data science products in the cloud as services for our clients or deploy to their infrastructure as needed.
We don’t just build ML models—we take our science from the broad spectrum of mathematics, statistics, operations research and computer science. We work with academic partners and Centres for Doctoral Training (CDTs) across the UK to ensure that what we do is founded on high-quality, up-to-date science.
As a company, we don’t just value diversity - we place it at the heart of what we do. We need diverse thinking from diverse people to help us create solutions quickly that are effective and respect the audience for the tool.
Datasparq employees get these perks as standard.
The option to join our company healthcare plan
Varied, lively socials every last Thursday of the month
Weekly (at least!) data science & engineering seminars
Work from our London office or at home
Regular ethics reviews to make sure our work is meaningful
We have diversity, inclusion & wellbeing goals in our KPIs
...with the option to buy 5 extra days
Vibrant startup culture; annual entrepreneurship competition
Developing our own tools like Houston and Xu