Turing College has joined Y Combinator’s W21 batch, providing it with new opportunities to rapidly scale its solution for hiring in-demand data science talent. The Vilnius-based edtech company provides an education in data science with an Income Share Agreement (ISAs) via its self-paced, peer-driven remote learning platform. It affords its growing community of hiring partners the ability to recruit high-performing data scientists in days rather than months, with recruitment decisions based on rich learning data.
Demand for data scientists has never been higher. According to research by LinkedIn, the hiring of data scientists has jumped by 46% since 2019. However, recruiters face significant challenges when it comes to building their data science teams.
Despite the fact that students are making significant financial investments, whether at universities or coding bootcamps, they are not equipped with the necessary competencies. As a 2020 report by software firm Anaconda notes, “what students are learning and what universities are teaching isn’t necessarily what enterprises need from new data scientists.”
This gap creates a chain of problems for recruiters. They need to spend more time vetting potential employees. Even after this time investment, they are often unclear as to what exact skills a candidate possesses. As a result, the recruitment process for data scientists typically takes months, and there is no guarantee new employees will be work-ready when they arrive.
Turing College solves this problem by co-creating its curricula together with tech-oriented companies who join as Hiring Partners. This ensures the skills learners acquire are the ones companies actually need. But Turing College takes its recruitment-oriented approach further, providing these Hiring Partners with exclusive access to rich data on each learner. Learners build portfolios of work as they progress through the self-paced, peer-to-peer learning platform, which replicates a real working environment. These portfolios, along with other data gathered from peers and senior team leads, enable hiring partners to make fast, data-driven hiring decisions.
Lukas Kaminskas, CEO of Turing College, said: “Our Hiring Partners can see exactly what each candidate’s strengths and weaknesses are. This includes hard skills like manipulating data sets and writing code, and soft skills such as communication and teamwork. This means companies can select data scientists that will fit with their team culture and have precisely the competencies they need.”
As for the learners at Turing College, instead of a diploma on graduation they simply get a new job. Because Turing College offers ISAs, learners can defer payment of their tuition fees until they are in work and earning a predefined amount.
Turing College’s first course started 5 months ago. It currently has 53 learners and 11 leading Northern European companies onboard as Hiring Partners, including Nord Security, Biomapas, iSun and Satalia. Its next batch of learners will begin their studies on April 19th.
“We see that the model we are developing is working. We already have our first program participant employed. And our data-based recruitment solution is attracting more and more interest from companies looking to partner with us,” commented Lukas Kaminskas. “Joining Y Combinator means we have access to the world’s largest investors, experts and business advisors. For us, it is both a great honor and a responsibility. We are proud to be the first Lithuanian company in the ranks of Y Combinator.”
So far, Turing College has received $1.2 million in funding, including a pre-seed round led by Startup Wiseguys. This funding has enabled them to build their learning platform and offer courses to learners in the EU. As a member of the Y Combinator program, the edtech startup hopes to scale its operation into new European markets.
About Turing College
Turing College is an online data science career school in Europe that offers Income Share Agreements (ISAs) and provides a unique data-based solution for IT recruitment. It was co-founded by three friends, Lukas Kaminskis, Tomas Moška and Benas Šidlauskas.
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