Junior Data Scientist

Be among the first applicants.
Buscojobs
Greater London
GBP 40,000 - 60,000
Be among the first applicants.
3 days ago
Job description

About Us

At Sportsbet, we’re united behind our purpose to Bring Excitement to Life for our 2 million customers (and growing!). We do this by over-delivering through our commitment to fun, challenging the status quo and living our values.

As part of the Flutter Group, we’re a global player, but in Melbourne, Sydney and Darwin we’re a tight knit group of 1,300 teammates (of which over half are in our Tech and Data Science teams!).

We are a significant contributor to the Australian economy through racing and sporting codes and we are committed to having a positive impact in society by supporting our customers, our communities and our employees.

Our commitment to responsible gambling is genuine and demonstrated through the wide range of responsible gambling initiatives and tools.

In 2023, we were a recipient of LinkedIn’s Top 25 Companies for our focus on career development and awarded the Top 10 Workplaces for Women through Work180.

Our commitment to making Sportsbet the best place to work is never-ending.

About The Role

As a Junior Data Scientist, you'll play a vital role in our team by assisting in various projects and learning the ropes of data science. In Data Science, we work collaboratively with teams across the organisation to create and evolve end-to-end solutions that have Data Science at their core.

From sports modelling to product personalisation, our team thrives on unleashing the power of data to improve the quality, speed and complexity of the decisions and actions they drive.

Our models not only power many of the products our customers get to enjoy, but they also take many of our internal processes to the next level.

We care for the things we have built and look at ways to continuously improve them; but we also love to innovate. We are known pioneers and have introduced a number of world-first ML-driven customer-facing products.

They come from insights, experience but often, just from someone thinking outside of the box we play a key role in exploring these ideas and making them a reality.

Not only do we innovate with products, but also in the way we build, develop, deploy and maintain our solutions and how we leverage evolving platforms and partnerships.

Responsibilities Include:

  • Collaborating with team members and stakeholders to understand business needs and contribute to model design.
  • Helping to communicate technical information clearly to keep everyone informed about progress.
  • Assisting in the design and deployment of machine learning models following best practices to ensure quality and reliability.
  • Supporting the team in developing maintainable and robust data science models.
  • Helping to share insights and analyses with the wider organisation to foster a better understanding of our business.

You - some of the talents we’re looking to find:

  • Experience with conceiving, designing, building, deploying and monitoring machine learning models, with an excellent eye for detail.
  • Commercially minded track record of unlocking data to drive commercial value.
  • Broad knowledge of statistical and computational methods for identifying patterns, extracting insights, and making predictions from complex datasets.
  • Strong programming skills (e.g. proficient in Python, R etc., with experience in Spark and Databricks a plus).
  • Good communication skills with the ability to explain complex concepts to a wide variety of audiences, both verbally and in writing.
  • Team player and fast learner who will find ways to add value, both individually and through enabling their teammates.
  • Bonus points for a good knowledge of AWS cloud services and software engineering and DevOps in general.

The Perks

We work hard and play hard, so along with a competitive salary and generous performance-based bonus, here’s some of our other perks:

  • 25 days annual leave (that’s right, a whole extra week!)
  • Genuine flexible working policy with a $800 work from home office allowance.
  • Weekly concierge service including free massages, manicure/nail appointments all onsite!
  • Daily fresh fruit, free breakfast, sparkling water and Kombucha on tap in the office (did we mention we have a bar fridge for Thursday night drinks!?).
  • Development budget to send you to conferences, events, courses and other learning opportunities.
  • End of trip facilities with an onsite table tennis and pool table.
  • Access to our Employee Assistance Program and a Circle In membership.
  • Industry leading Parental Leave support program with 26 weeks paid leave for Primary Carers and no wait time. We also have a progressive return to work benefit for your first 6 months back: come back for 3 days, get paid for 4; come back for 4 days, get paid for 5.

We encourage you to apply as soon as possible as we review candidates within 2 weeks of advertising. Be sure to check out our Life@Sportsbet Instagram page, Sportsbet LinkedIn page as well as our careers website for more information and insight into our culture.

What’s the Green Tick Feeling?

Well, it’s different for everyone, yet unites us all. It’s the feeling you get when you succeed, no matter what success looks like to you.

It could be developing your career, it could be working on an industry-leading project, or it could be making it to school pick up in time.

It's all the little and big things that make you feel like you’re thriving when working at Sportsbet.

We’re an inclusive employer who welcomes you for who you are, as you are, so if you require adjustments to the recruitment process, please let us know in your application.

We also know flex means different things to different people, so let us know how we can support you to be your best.

Ready for your Green Tick Feeling? Apply now.

Get a free, confidential resume review.
Select file or drag and drop it
Avatar
Free online coaching
Improve your chances of getting that interview invitation!
Be the first to explore new Junior Data Scientist jobs in Greater London