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- Tasks: Enhance recommendation systems and conduct behavioural analytics to drive marketing strategies.
- Company: Leading entertainment publisher with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technology.
- Qualifications: Strong background in Python, SQL, machine learning, and collaborative filtering techniques.
- Other info: Join a passionate team and contribute to exciting projects in the entertainment industry.
The predicted salary is between 30000 - 50000 £ per year.
A leading entertainment publisher is seeking a passionate Data Scientist to enhance their recommendation systems and conduct behavioral analytics. The ideal candidate will have a strong background in Python and SQL, with experience in machine learning and collaborative filtering techniques. This role offers the chance to work with cross-functional teams to drive innovative marketing strategies. If you are ready to make a real impact in a collaborative environment, this position could be a perfect fit for you.
Data Scientist, Recommender Systems & Personalization in London employer: Square Enix Co Ltd
Contact Detail:
Square Enix Co Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Recommender Systems & Personalization in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data science or at the company you're eyeing. A friendly chat can open doors and give you insights that might just set you apart from the competition.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. This is your chance to demonstrate your expertise in recommender systems and behavioural analytics—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on collaborative filtering techniques and real-world applications of your skills. Practice explaining complex concepts in simple terms; this will help you connect with cross-functional teams during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search—so go ahead and take that step!
We think you need these skills to ace Data Scientist, Recommender Systems & Personalization in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and recommendation systems shine through. We want to see how excited you are about the role and how you can contribute to our innovative marketing strategies.
Highlight Relevant Skills: Make sure to emphasise your experience with Python, SQL, and machine learning techniques. We’re looking for candidates who can demonstrate their technical prowess, so don’t hold back on showcasing your skills!
Tailor Your Application: Customise your CV and cover letter to align with the job description. Mention specific projects or experiences that relate to collaborative filtering and behavioural analytics, as this will show us you’re a great fit for the team.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our collaborative environment.
How to prepare for a job interview at Square Enix Co Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to machine learning and collaborative filtering techniques.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've approached behavioural analytics in the past. Think of examples where your insights led to actionable strategies, and be ready to explain your thought process clearly.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be prepared to discuss your experience in collaboration. Share examples of how you've successfully worked with others to drive innovative solutions in previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s goals and challenges. Inquire about their current recommendation systems and how they envision the role of data science evolving within their marketing strategies.
