Senior Data Scientist

Description

• 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. 

• 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. 

• 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.