At a Glance
- Tasks: Dive into data projects, using AI and analytics to solve real business challenges.
- Company: Join Flutter UK&I, a leader in digital entertainment with a vibrant team culture.
- Benefits: Enjoy a £1,000 learning fund, unlimited holiday, and private healthcare.
- Other info: Embrace a dynamic work environment that values inclusivity and personal growth.
- Why this job: Make an impact with cutting-edge data science while collaborating with diverse teams.
- Qualifications: Proficient in Python and SQL, with a knack for machine learning and communication.
The predicted salary is between 50000 - 60000 £ per year.
Your team
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: 慨正橡扯
At Flutter UK & Ireland, we pride ourselves on fostering a vibrant and inclusive work culture where innovation thrives. As a Data Scientist in Leeds, you'll have access to a generous learning fund, unlimited holiday, and hybrid working options, all while collaborating with a diverse team on groundbreaking analytics projects. We are committed to your professional growth, offering numerous opportunities for upskilling and knowledge sharing, ensuring that you can make a meaningful impact in the world of data science.
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 attend industry meetups. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Use GitHub to share your code and visualisations, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially when discussing complex algorithms.
✨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 Application:Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with Python, SQL, and any machine learning projects you've worked on. We want to see how your skills align with what we do!
Showcase Your Projects:Include specific examples of data science projects you've completed. Whether it's a predictive model or a compelling visualisation, we love seeing your work in action. This helps us understand your hands-on experience and creativity.
Communicate Clearly:Remember, you’ll need to explain complex concepts to non-technical folks. Use clear language in your application to demonstrate your communication skills. We appreciate candidates who can bridge the gap between tech and business!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at 慨正橡扯
✨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 and how you applied these skills to solve real-world problems.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Use examples from your past experiences to illustrate your points and show how your insights can drive business decisions.
✨Show Your Collaborative Spirit
This role involves working with cross-functional teams, so be prepared to discuss how you've collaborated with others in the past. Highlight any experiences where you engaged with different departments to align on project goals and deliverables.
✨Stay Updated and Be Curious
Demonstrate your passion for data science by talking about the latest advancements in the field. Share any new technologies or methodologies you've explored and how you think they could benefit the company. This shows you're proactive and eager to contribute to innovation.
