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
- Lead Data Scientist to define technical future of Faculty's AI product. Working on healthcare and life sciences projects with a focus on computational twins and mentoring data scientists.
Responsibilities
- Guiding the technical delivery of Frontier deployments, from initial discovery to the productionisation of computational twins.
- Owning the end-to-end data science approach, including designing and implementing optimal techniques from EDA to deep learning.
- Partnering with commercial teams and clients as a trusted technical advisor to build strong, lasting relationships.
- Articulating complex technical concepts, model design choices, and strategic decisions clearly to diverse C-suite and engineering audiences.
- Formally managing and mentoring data scientists, taking direct responsibility for their professional growth and career progression.
- Establishing a distinct data science vision and driving best practices for configuring the Frontier product.
- Keeping abreast of the latest advancements in AI and identifying how they can be incorporated into the Frontier product and delivery workflows.
Requirements
- You have deep technical expertise in machine learning and a command of diverse statistical and data science methodologies (e.g., supervised/unsupervised learning, Bayesian inference, time-series analysis).
- You possess strong Python skills and excellent proficiency with core data science libraries (NumPy, Pandas, Scikit-Learn), plus familiarity with deep-learning frameworks (TensorFlow, PyTorch).
- You have proven experience leading data science projects, making key decisions on technical direction, model selection, and architecture.
- You are an exceptional communicator, capable of translating complex business problems into mathematical frameworks and presenting persuasive technical solutions to senior audiences.
- You possess a strategic, product-oriented mindset, deeply understanding user needs and connecting them to the value delivered by a technical product like Frontier.
- You are passionate about developing people and have experience formally managing or mentoring other technical professionals.
- You bring essential commercial experience, particularly in client-facing work or consulting, and are motivated to deliver innovative work successfully to strict timelines.
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in our Old Street office, London)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Science and AI student engaged in data processing and management. Open to candidates in Germany, starting in 2026, with supportive environment for development.
Data Scientist II providing actionable insights through advanced analytics and consulting with stakeholders at Truist. Conducting statistical analyses and developing predictive models using structured and unstructured data.
Senior Responsible AI Data Scientist focusing on ethical AI within Humana to drive responsible AI initiatives across the organization. Partnering with teams to implement innovative and compliant AI solutions in healthcare.
Director of Data Science leading the Identity fraud product development at TransUnion. Collaborating with stakeholders to build market - leading identity data products and analytic solutions.
Data Analyst supporting internal audit for a bank in Zürich. Building databases, conducting analysis, and presenting findings to senior management.
Manager II, Data Science leading HR Analytics and developing predictive models for decision - making. Collaborating with cross - functional teams to implement data - driven solutions across the organization.
Data Manager for B2B - Mailings at ZEIT Advise, supporting the automation and segmentation of marketing processes in Hamburg. Focusing on CRM systems and email marketing strategies.
Lead Data Scientist at AT&T, building predictive models and analyzing customer lifecycle marketing strategies. Collaborating with cross - functional teams to enhance marketing and business outcomes.
Lead Data Scientist managing AI initiatives for a global IT consulting firm. Overseeing AI strategy, governance, and multidisciplinary team leadership in a hybrid work environment.