Role: Senior Data Scientist
Company: SEGA Europe Ltd
Location: SEGA HQ Brentford, Hybrid working (3-days per week in-office) POSITION OVERVIEW This is exciting opportunity to join a leading games publisher as a Data Scientist. Working within the Data Services team, you will be collaborating with team members at SEGA and across its studios including Creative Assembly, Sports Interactive, Amplitude and Two Point. You will need to Lead, evangelise and engage the business in data science, machine learning and AI initiatives. You will be responsible for the development of machine learning models using cutting-edge data science tools and platforms. You will lead future machine learning and AI development projects and will be the technical contact across SEGA Europe for machine learning-related questions and strategic guidance. In this role, you will have a direct impact in shaping the data-driven future of SEGA as you partner with diverse teams across the business to ensure a unified and forward-thinking strategy. You will also be heavily involved in future SEGA data strategies, including GenAI initiatives, building real-time data workflows, and projects that leverage data to enhance our consumer engagement and communication. This a fantastic chance to work in an exciting, fast paced environment in a well-established and thriving games publisher. If you are passionate about data science and eager to make an impact in the video games industry, we’d love to hear from you. KEY RESPONSIBILITIES As a senior member of the data services team, you will be the lead Data Scientist and contact point for all data science initiatives across SEGA and its studios. You will need to:
Oversee the development, maintenance, and deployment of machine learning models and AI projects across SEGA and its studios. Promote the value of data-driven decision-making throughout the business and inspire teams to leverage data science. Keep up to date with all the latest data science and machine learning technologies to continuously integrate innovative tools and techniques into SEGA’s data environment and introduce these tools to the broader business. Lead on the development of next generation machine learning initiatives serving as the main point of contact for data science technologies including Python, Spark, and SQL. Be a key knowledge source for databricks development in Spark, Python and SQL. Utilise LLM models such as OpenAI, DBRX and Llama to develop innovative solutions. Encourage continuous learning by keeping up to date with relevant courses and certifications.
You will need to effectively collaborate with fellow data developers and data scientists to help find creative solutions to complex data challenges. As a highly skilled communicator, you will be presenting recommendations and findings to key stakeholders within the business, taking on feedback but also comfortable with defending challenges to your findings as appropriate. You will collaborate with other members of the team, helping to update various databases, data warehouses, and systems responsible for importing, storing, and reporting on a variety of data sources. KNOWLEDGE, SKILLS & EXPERIENCE Essential
Demonstrable professional experience working within data science and data analysis. A high-level knowledge of Python/Scala and SQL, plus over 3 years’ experience in developing machine learning models Knowledge and experience of data science libraries such as pandas, scikit-learn, matplotlib, seaborn, TensorFlow, Torch, pySpark ML, MLFlow or other model lifecycle management tools. Experience in developing ML models and understanding the key concepts including regression, clustering, classification and architectures such as neural networks, and implementing these within a business context. Interpreting results and communicating them effectively around the business. Experience of data visualisation packages such as Power BI / Tableau. Experience of utilising large and complex data sets.
Desirable
Experience in using Databricks. Experience using Apache Spark / pySpark. Experience in utilising Generative AI models and LLMs as well as repositories such as Hugging Face. Passion for video games.
