Senior Data Scientist - Forecasting
Senior Data Scientist - Forecasting

Senior Data Scientist - Forecasting

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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Square Enix

At a Glance

  • Tasks: Lead data-driven forecasting processes and develop innovative tools for our dynamic team.
  • Company: Join Square Enix, a leading entertainment 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 by enhancing forecasting capabilities with cutting-edge technology.
  • Qualifications: Proficiency in Python, strong analytical skills, and a collaborative mindset.
  • Other info: Be part of a culture that values creativity, teamwork, and continuous evolution.

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:

  • Demonstrable 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.
  • 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 & Values:

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 employer: Square Enix

Square Enix is an exceptional employer that fosters a vibrant and innovative work culture, where creativity and collaboration are at the forefront. As a Senior Data Scientist in our dynamic London office, you will have access to cutting-edge technology and tools, alongside opportunities for professional growth and development within the gaming industry. We prioritise employee well-being and offer a supportive environment that encourages continuous learning and the pursuit of excellence, making it a truly rewarding place to advance your career.
Square Enix

Contact Detail:

Square Enix Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist - Forecasting

✨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 or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your forecasting models and any relevant projects. This is your chance to demonstrate your technical prowess and creativity, so make it shine!

✨Tip Number 3

Prepare for interviews by brushing up on your soft skills. Practice explaining complex data concepts in simple terms. Remember, you’ll be working with both techies and non-techies, so being able to communicate effectively is key!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!

We think you need these skills to ace Senior Data Scientist - Forecasting

Mathematics Proficiency
Python Programming
Modular Code Design
Data Science Methodologies
Statistical Modelling
Model Performance Monitoring
Software Development
Flask Framework
Cloud Computing (Google Cloud)
Version Control (Git)
Understanding of Game Industry Dynamics
Data-Driven Forecasting Frameworks
Strong Communication Skills
Collaborative Mindset
Bayesian Modelling (PyMC or Stan)

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 with data science methodologies!

Tailor Your Application: Take a moment to tailor your application to the role. Mention specific projects or experiences that relate to the gaming industry and forecasting. This shows us that you understand our mission and how you can contribute to it.

Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication, especially when explaining complex concepts. Remember, we’re looking for someone who can bridge the gap between technical and non-technical stakeholders!

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 gives you a chance to explore more about what we do at Square Enix!

How to prepare for a job interview at Square Enix

✨Know Your Numbers

Brush up on your mathematics skills, especially in areas relevant to data science and forecasting. Be prepared to discuss how you've applied statistical methods in past projects, as this will show your analytical prowess and understanding of the role.

✨Showcase Your Technical Skills

Make sure you can demonstrate your proficiency in Python and any relevant frameworks like Flask. Bring examples of your previous work or projects that highlight your coding abilities and experience with version control tools like Git.

✨Understand the Gaming Industry

Familiarise yourself with the dynamics of the gaming industry, including sales patterns and marketing strategies. Being able to discuss how these factors influence forecasting will set you apart and show your genuine interest in the company’s mission.

✨Communicate Effectively

Prepare to explain complex concepts in a way that both technical and non-technical stakeholders can understand. Practising this skill will help you convey your ideas clearly and demonstrate your collaborative mindset, which is crucial for the role.

Senior Data Scientist - Forecasting
Square Enix
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