Head of Data Science

Stockholm
900000kr - 960000kr per annum

This vacancy has now expired. Please see similar roles below...

Head of Data Science

Stockholm, Sweden

SEK 960 000

Harnham have been retained on the search for a Head of Data Science for a leading B2B company within sports betting and gaming. The company deliver enhanced returns to their clients by leveraging data to calculate odds and they offer an end to end platform complimented by performance analytics.

THE ROLE

As a Head of Data Science at our client, you will head up a team of quantitative analysts who perform advanced analytics on sports data.

  • Manage and lead a team of Quantitative Analysts and Data Scientists.
  • Define and implement use cases for data driven solutions which support the company.
  • Maintain a high standard for statistical modelling and machine learning processes, ensuring an efficient workflow within the team.

THE BENEFITS

  • Join a fast-paced international business
  • Board level input and exposure to many business units
  • High growth department

YOUR QUALIFICATIONS

  • Higher education in a quantitative discipline (mathematics, physics, statistics, computer science)
  • Evidence of managing high performing analytics teams
  • Advanced understanding of data science
  • Expert user of Python, R and SQL
  • Comfortable with C language

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For more information about similar roles please contact Sabine Odfjell at Harnham.

KEYWORDS

Head of data science, data science manager, quantitative analytics, algorithms, statistics, sql, sports, data science, data scientist, quantitative analyst, SQL, python, R, machine learning

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10824
Stockholm
900000kr - 960000kr per annum

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Harnham have partnered with The Charter School North Dulwich as corporate sponsors of their ‘Secret Charter’ event. The event sees the south London state school selling over 500 postcard-sized original pieces of art to raise funds for their Art, Drama and Music departments. Conceived by local parent Laura Stephens, the original concept was to auction art from both pupils and contributing parents.  Whilst designs from 30 of the school's best art students remain, the scope of contributors has rapidly expanded and now includes the work of local artists alongside celebrated greats including Tracey Emin, Sir Anthony Gormley, Julian Opie, and Gary Hume.  In addition to famous artists, several well-known names have contributed their own designs including James Corden, David Mitchell, Miranda Hart, Jo Brand, Jeremy Corbyn, and Hugh Grant.  The event itself, sponsored by Harnham and others, will be hosted by James Nesbitt, and will take place at Dulwich Picture Gallery on the 15th October 2018.  You can find out how to purchase a postcard and more information about the event here. 

Our Top Five Tips For Your Data Scientist Interview

The role of Data Scientist is one of the most in-demand jobs in the tech world now. But, given that it is still a relatively new job, in a relatively new field, a lot of companies are still struggling to source enough quality candidates for their team. Despite the demand, tech companies are very specific about the candidates they’d like to hire. Passing a Data Science interview can be very tricky, especially considering that businesses are looking for the right technical knowledge, business sense, and culture fit.  With this in mind, here are five key tips for the Data Science interviewing process. By making sure you are prepared for the below, you’ll be able to ensure that you don’t sell yourself short. Have A Concise Overview Of Your Project Experience It’s imperative you prepare an overview of your successful Data Science projects. Hiring Managers aren’t interested in getting into every detail of your completed projects, but they do want to know that you have the right experience. Focus on key factors, highlighting the types of projects you’ve been working on and the successes you had as a result of those projects. Keep your achievements clear and concise. Show Your Communication Skills A good Data Scientist is more than just a good programmer. You need to be able to show that you can translate your findings into insights that can be understood by non-technical people in the business. During your interview, Hiring Managers may test your ability to step away from role-specific language. This is to asses whether you know how to engage with non-technical colleagues and parts of the business who may not understand the value of Data Science to the company. Bring Out Your USPs Companies will potentially be interviewing several candidates for a specific role, so it’s important that you are able to stand out. Consider what you have achieved that your fellow interviewees may not have. One good way to stand out is to have articles published on popular Data Science websites/blogs. From my experience, Hiring Managers see this as a big plus and it makes for a great talking point during the interview process. If you are looking to do this, you should always choose a unique topic and not something that is already explored a lot by others. On a similar note, you could highlight the Data Science projects you’ve achieved outside of work through platforms such as Kaggle.Know Your Computer Science Fundamentals Having a decent knowledge of Computer Science fundamentals, like algorithms is essential, especially if you are interviewing with tech companies. Whilst there are other elements to the role, you can expect questions related to programming, so for a Junior Data Scientist, I’d recommend practicing coding for a few days before your interview (if you are not doing this already in your day to day job). Have An Understanding Of How You’ll Fit In At The Company For some Tech companies, particularly start-ups, cultural fit is just as important, if not more so, than how good you are at coding. They’ll want to understand how you would react to different scenarios at work and whether or not you share the values of their company. For this reason, don’t be surprised to see a few team members join the interview as they look to see how you’ll fit in. Make sure you take a look at the company’s website, read their blogs and articles, and check their social media feeds in advance so that you have a good understanding of what the business is like. Remember, culture is a two-way fit so it’s about making sure the business is right for you, as much as it is right for them. The interviewing process can be tricky but, at Harnham, our expert consultants are here to support you through the entire recruitment process. We will always make sure you are prepared for your interview and will run you though the topics you can expect to come up. If you’re looking to take the next step in your Data & Analytics career, take a look at our latest opportunities or get in touch with one of our expert consultants to learn more. 

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