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For Companies At a Glance
- Tasks: Lead data-driven forecasting and develop innovative tools for our dynamic team.
- Company: Join Square Enix, a leading publisher known for iconic gaming franchises.
- Benefits: Competitive salary, creative work environment, and opportunities for professional growth.
- Why this job: Make an impact in the gaming industry with your analytical skills and creativity.
- Qualifications: Proficiency in Python, data science methodologies, and strong communication skills.
- Other info: Collaborative culture with a focus on continuous improvement and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Square Enix is a leading publisher of entertainment content, known for iconic franchises such as Final Fantasy, Kingdom Hearts, Dragon Quest, NieR, Life is Strange, and Just Cause. Our mission is to create and deliver experiences that resonate deeply with the hearts and minds of our players.
We are seeking a highly analytical and technically skilled Senior Data Scientist to lead the data and technology aspects of our Forecasting function. This role is central to the success of our Forecast team, responsible for building robust internal tools and processes that enable collaborative model development, ensure data quality, and support continuous improvement. They will also act as a technical process design lead, working closely with project managers, analysts, and marketing stakeholders to prioritise and implement features that enhance our forecasting capabilities.
Key Deliverables:
- Lead the end-to-end Forecast process from a data and technology perspective.
- Design and develop internal tools for data scientists and modelling specialists to build and refine forecasting models.
- Build and maintain software utilities for development and QA within the Forecast team.
- Develop simulation tools for marketing teams to experiment with media scenarios and campaign strategies.
- Support the model's performance monitoring process and feedback loop.
Qualifications and Skills:
Essential:
- Demonstratable current proficiency in mathematics (e.g. A-level Mathematics with grade A, A+ or equivalent).
- Strong delivery mindset, with the ability to work under tight deadlines and consistently drive business impact.
- Proficiency in Python, including knowledge of modular code design using functions and classes.
- Experience in data science methodologies and statistical modelling, and model performance monitoring process.
- Experience in development of small-scale software or utilities (e.g. using Flask or similar frameworks).
- Familiarity with cloud computing platforms (e.g. Google Cloud).
- Experience using version control tools (e.g. Git).
Industry Knowledge (marketing and gaming):
- Understanding of game industry dynamics, including genre-specific sales patterns, platform strategies, long-tail revenue behaviour, and the impact of discounting and marketing campaigns.
- Ability to translate business logic into data-driven forecasting frameworks.
Soft Skills:
- Strong communication skills, with ability to explain complex concepts to both technical and non-technical stakeholders.
- Collaborative mindset and ability to work across data science, engineering, and business teams.
Desirable:
- Ability to build and evaluate Bayesian models using PyMC or Stan, with a focus on real-world forecasting applications. Formal work experience not required.
- Good grasp of marketing and media modelling fundamentals.
- Experience in pricing analytics, demand modelling, or revenue forecasting within entertainment or consumer industries.
- Knowledge of simulation frameworks or scenario planning tools.
- Experience of managing/mentoring junior members.
Purpose: Creating New Worlds with Boundless Imagination to Enhance People's Lives.
Values:
- Deliver Unforgettable Experiences
- Embrace Challenges
- Act Swiftly
- Stronger Together
- Continuously Evolve
- Cultivate Integrity
Senior Data Scientist - Forecasting in London employer: Square Enix
Contact Detail:
Square Enix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Forecasting 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 gaming conventions. You never know who might have the inside scoop on job openings at Square Enix!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to forecasting. Use GitHub to share your code and demonstrate your proficiency in Python and statistical modelling.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and industry knowledge. Be ready to discuss how you can enhance forecasting capabilities and contribute to the team’s success at Square Enix.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Square Enix family.
We think you need these skills to ace Senior Data Scientist - Forecasting in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in mathematics and Python. We want to see how you can apply these skills to real-world forecasting problems, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to tailor your application to the role. Mention specific projects or experiences that relate to data science methodologies and statistical modelling. This helps us see how you fit into our team!
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication, especially when explaining complex concepts. Remember, we want to understand your thought process easily!
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at Square Enix
✨Know Your Numbers
Brush up on your mathematics skills, especially if you have a strong background in A-level Maths. Be prepared to discuss how you've applied statistical modelling and data science methodologies in past projects, as this will show your analytical prowess.
✨Showcase Your Coding Skills
Make sure you're comfortable with Python and can demonstrate your knowledge of modular code design. Bring examples of small-scale software or utilities you've developed, particularly using frameworks like Flask, to highlight your technical capabilities.
✨Understand the Gaming Industry
Familiarise yourself with the dynamics of the gaming industry, including sales patterns and marketing strategies. Being able to translate business logic into data-driven forecasting frameworks will impress the interviewers and show that you understand their market.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You'll need to communicate effectively with both technical and non-technical stakeholders, so being able to convey your ideas clearly will be key to your success in the interview.