Senior Data Science
The Walt Disney Company, City of Westminster
Senior Data Science
Salary not available. View on company website.
The Walt Disney Company, City of Westminster
- Full time
- Permanent
- Remote working
Posted 5 days ago, 11 Sep | Get your application in now to be included in the first week's applications.
Closing date: Closing date not specified
Job ref: 6d08361aecbe476cb2a500a347a86728
Location ref: City of Westminster
Full Job Description
communicating insights and productionalising results. Continuously explore ways to improve the methodology and the model accuracy Manage and solve ad hoc modelling requests from stakeholders Develop and maintain semantic models and extend them into aagentic AI solutions Consult with stakeholders at all levels across Disney+ to aid in the delivery of data science driven projects Support insight analysts across EMEA Analytics team, ensuring statistically robust results are delivered and best practices are followed Build strong relationships across the Global and International Analytics and Data Science teams to collaborate where required Develop understanding of existing Global data science tools available and potential opportunities to apply them in EMEA Required Qualifications & Skills Proficient in writing SQL Significant experience in Python, R or other statistical programming language Familiarity with building and evaluating agentic AI solutions preferred, Degree in Data Science
Computer Science, Mathematics, or a related field, with 4+ years of experience in data science-related roles Demonstrable understanding and practical application of data science concepts with particular focus on experimentation design, time-series forecasting and causal impact methodologies Proven ability to manage multiple priorities effectively, delivering high-quality outputs with strong attention to detail Flexibility in approach, taking creative approaches to getting results where necessary Strong communication skills with experience talking to both technical and non-technical audiences about data science concepts, best practice and limitations Experience using consumer behavioural data preferred The Perks 25 days annual leave Private medical insurance & dental care Free Park Entry: You will have the opportunity to enter any of our parks with your family and friends for free Disney Discounts: you are entitled to discounts on designated Disney products, resort F& B
and ticketing Excellent parental and guardian leave Employee Resource Groups - WOMEN @ Disney, Disney Mosaic, Disney PRIDE, our disability & neurodiversity focused group - ENABLED, and our Mental Health & Wellbeing Group, TRUST. The Walt Disney Company is an Equal Opportunity Employer. We strive to be a diverse workforce that is representative of our audiences, and where all can thrive and belong. Disney is committed to forming a team that includes and respects a variety of voices, identities, backgrounds, experiences and perspectives. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #J-18808-Ljbffr
on forecasting of customer trends and engagement as well as ad hoc modelling to gain additional insight from our vast customer data. This role will leverage excellent technical, storytelling and communication skills, as well as the ability to work cross-functionally to identify business needs and deliver data science projects across EMEA. This role will be based in our London Hammersmith office, 4 days a week, with either a Monday or Friday working from home. Values You'll join a team grounded in our Disney values- acting with Integrity, welcoming everyone through Inclusion, embracing boundless Creativity, working together through Collaboration and caring deeply for our Community. These values shape how we work and how we support one another every day. What you will do Drive the development, design and implementation of the engagement forecast model. End-to-end involvement from data collection, algorithm development and forecasting. Play a key role in collaborating with stakeholders
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