At a Glance
- Tasks: Analyse data, develop models, and deliver insights to solve real business challenges.
- Company: Join a leading tech company with a vibrant and inclusive culture.
- Benefits: Unlimited holiday, learning fund, hybrid working, and private healthcare.
- Other info: Be part of a diverse team that values your unique perspective.
- Why this job: Make an impact with cutting-edge analytics and collaborate on exciting projects.
- Qualifications: Proficiency in Python and SQL, with a passion for data science.
The predicted salary is between 50000 - 70000 £ per year.
The UKI Data Science team is a cross business chapter sitting in the Customer Super Tribe, working with other areas such as Safety, Marketing, Gaming, Sports, and more. We work with a range of partners to deliver groundbreaking analytics and AI modelling solutions to help solve business problems.
What you'll do
- Work with the team to carry out analytical projects involving data collection, pre-processing, feature engineering, model development, validation, and deployment.
- Engage with business stakeholders to understand domain-specific challenges and opportunities, and collaborate during development to ensure alignment with requirements.
- Apply advanced statistical and machine learning algorithms to analyse large datasets, uncover patterns, and derive actionable insights to support business objectives.
- Develop and implement predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning.
- Create clear and compelling visualisations to communicate complex analytical findings effectively.
- Collaborate with collaborators (including business, product, and engineering) to understand requirements, find opportunities, and provide data-driven recommendations.
- Collaborate with cross-functional teams to integrate data science solutions into products and services.
- Engage actively in knowledge sharing, technical, and non-technical discussions within the team.
- Continuously improve the accuracy, efficiency, and scalability of existing models and algorithms, and identify areas for optimisation and innovation.
- Maintain high standards of documentation, code quality, and application of best practices in data science and software development.
- Actively participate in code reviews, pair programming, and knowledge sharing sessions, embracing feedback for continuous improvement.
- Contribute to building a strong data science team through knowledge sharing and upskilling.
- Keep abreast of the latest advancements in data science, machine learning, and related fields, and proactively find opportunities to demonstrate the use of new technologies.
How you'll do it
- Proficiency in Python and SQL.
- Good knowledge of machine learning techniques and algorithms.
- A demonstrated track record of successfully delivering data science projects.
- Strong verbal and written communication, ability to explain technical concepts to non-technical audiences.
What’s on offer
- £/€1,000 learning fund
- Twice-yearly bonus (with part of it guaranteed!)
- Unlimited Holiday
- Pension contribution scheme
- Private healthcare
- Hybrid Working
- Access to thousands of Udemy courses
- Invest via the Company Sharesave Scheme
About Flutter UK & Ireland
Our division operates four of the most popular and trusted brands in the market: Sky Betting and Gaming, Tombola, Betfair and Paddy Power. Together the Flutter UK&I brands offer market leading entertainment to millions of customers every single week! Over the last couple of decades, they have all ridden the wave of digital betting with industry firsts like ‘cash-out’, ‘Request a Bet’, betting exchanges and free to play games like Soccer Saturday Super 6.
Working here
Do you want to work somewhere extraordinary? From the people you spend your days with, to the ground-breaking projects, no two days will be the same. With a philosophy of ‘Together We Are More’ our 7,000+ colleagues come together to form an expert community across technology, product, commercial, data, infrastructure, marketing, and a myriad of subject areas. We listen without judgement, encourage & support, and help build others up. Working at Flutter UK&I means you can be yourself, work how and where suits you best -and let your personality shine!
We’re working to be an inclusive employer, and we encourage people from all backgrounds, ways of thinking and working to apply. Everyone brings different perspectives and experiences; you don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you let us know, and we’ll see how we can accommodate them.
Data Scientist in Leeds employer: Flutter
At Flutter UK & Ireland, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to thrive. As a Data Scientist, you'll have access to a generous learning fund, unlimited holiday, and hybrid working options, all while collaborating with a diverse team on innovative projects that shape the future of digital betting. Join us to not only advance your career through continuous learning and knowledge sharing but also to contribute to a community that values every voice and perspective.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Use GitHub or a personal website to display your work, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Scientist in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your proficiency in Python, SQL, and any machine learning projects you've successfully delivered. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can contribute to our cross-functional teams. Share specific examples of how you've tackled analytical projects and engaged with stakeholders. This is your chance to shine!
Showcase Your Communication Skills:Since you'll be explaining complex concepts to non-technical audiences, make sure your application demonstrates your ability to communicate clearly. Use straightforward language and avoid jargon where possible. We appreciate clarity just as much as technical prowess!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Flutter
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills, as well as the machine learning techniques mentioned in the job description. Be ready to discuss specific projects you've worked on, focusing on how you applied advanced algorithms to solve real business problems.
✨Communicate Like a Pro
Since you'll be engaging with business stakeholders, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated your findings to non-technical audiences, as this will show your ability to bridge the gap between data science and business needs.
✨Show Off Your Collaboration Skills
Prepare to talk about your experience working in cross-functional teams. Highlight instances where you collaborated with product or engineering teams to integrate data science solutions, and be ready to discuss how you handle feedback during code reviews and knowledge sharing sessions.
✨Stay Ahead of the Curve
Demonstrate your passion for continuous learning by discussing recent advancements in data science that excite you. Mention any new technologies or methodologies you've explored and how you see them fitting into the role you're applying for. This shows you're proactive and eager to innovate.
