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- Tasks: Develop predictive models and collaborate with teams to drive data-driven decisions.
- Company: Leading sports and gaming marketing firm in Greater London.
- Benefits: Competitive salary, excellent benefits, and growth opportunities.
- Why this job: Join a dynamic team and shape the future of gaming through data science.
- Qualifications: Masters degree in a quantitative field and proficiency in SQL and Python.
- Other info: Full-time position with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading sports and gaming marketing firm in Greater London is seeking a Data Scientist for their Data & Analytics function. The ideal candidate will hold a Masters degree in a quantitative field and be proficient in SQL and Python, with experience in applying data science techniques to business solutions.
Responsibilities include:
- Developing predictive models
- Collaborating with cross-functional teams to drive data-driven decision-making
This is a full-time position offering competitive benefits and opportunities for growth.
Data Scientist: Predictive Analytics for Gaming Growth in London employer: Legend
Contact Detail:
Legend Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Predictive Analytics for Gaming Growth in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data science communities. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and any projects you've worked on using SQL and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science interview questions and be ready to discuss how you've applied data science techniques to solve real business problems. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Scientist: Predictive Analytics for Gaming Growth in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in real-world scenarios, especially in predictive analytics.
Tailor Your CV: Customise your CV to reflect the job description. Use keywords from the posting to demonstrate that you understand what we're looking for and how you fit the bill.
Tell Your Story: In your cover letter, share your journey in data science. We love hearing about your experiences and how they’ve shaped your approach to solving business problems with data.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Legend
✨Know Your Data Science Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've applied data science techniques, especially in predictive modelling. This will show that you can translate complex data into actionable insights.
✨Understand the Gaming Industry
Familiarise yourself with the gaming sector and the specific challenges it faces. Research the company’s recent projects or campaigns. This knowledge will help you demonstrate how your skills can directly contribute to their goals and growth.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, think of examples from your past experiences where you successfully collaborated with others. Highlight your communication skills and how you’ve used data to influence decision-making in a team setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
