Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
About the role
- Data Scientist implementing data science applications for various clients. Join a consultancy focused on digital transformation and tech4good projects in a hybrid environment.
Responsibilities
- Senior Data Scientists enable the design, development, integration and testing of complex, high-quality data science solutions and services to meet user needs, continually improving the application of best practice patterns, methods and tools.
- Build effective working relationships with client counterparts in your practitioner domain, and those of a partner / 3rd party organisation.
- Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary.
- Help structure and provide technical assurance for the work of less experienced practitioners, enabling them to maximise quality and velocity. Monitor the application of the methods and requirements, pro-actively managing technical risks and issues.
- Collaborating with practitioners from other disciplines (e.g. UCD, Engineering) to ensure the solution meets user and business needs.
- Take technical responsibility for the delivery of high-quality data science services on smaller engagements, across all stages (design, build, test, deploy, operate and continually improve), in line with best practice.
- Work with Delivery Managers to inform estimates for research and development activities, enabling them to plan technical activities, including how teams and work should be structured.
- Proactively identify and help mitigate technical risks, issues, assumptions and dependencies.
- Maintain relevant, up-to-date practitioner skills through training and accreditation, including a domain-relevant accreditation/certification at professional level.
- Being an active member of the Data Science discipline, identifying area for growth across the business, and providing coaching for less experienced practitioners.
Requirements
- Background in Agile delivery environments, delivering software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, etc.).
- Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure).
- Hands-on knowledge of designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information).
- Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software.
- An understanding of data governance and best practices to ensure data protection.
- Experience planning technical activities and structuring work for a team.
- Being able to provide commercially robust estimates of development activities.
- Experience providing practitioner guidance to junior colleagues and peers.
- Understanding of how to operationalise and deploy a Data Science solution in a live environment.
- A bachelor’s degree in a STEM field.
Benefits
- InformedACADEMY© – We offer excellent career development opportunities through our award-winning personal and professional development programmes, including support with professional certifications.
- Industry leading health and wellbeing plan – We partner with several wellbeing support functions to cater to each individual’s need, including 24/7 GP services, mental health support and physical health support.
- Hybrid working*
- Private Health Care Cover*
- Generous life assurance cover*
- Gym Membership*
- Monthly office lunch
- Onsite massage sessions
- 25 paid working days holiday per year plus bank holidays*
- Sabbatical Leave Scheme*
- Enhanced Maternity Leave and Pay*
- Enhanced Paternity Leave and Pay*
- Company Pension Contribution
- Profit Share Scheme
- Payment of professional subscriptions
- Generous referral scheme with no limits on the number of referrals
- Salary Sacrifice scheme*
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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