Director of Data Science and AI

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Manager / Senior Manager of Data Science Join to apply for the Manager / Senior Manager of Data Science role at Melanin Kapital Neobank
Manager / Senior Manager of Data Science
Join to apply for the Manager / Senior Manager of Data Science role at Melanin Kapital Neobank
We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. At Typeform, the Data & Insights team drives strategic decision-making and product innovation by combining world-class data infrastructure, advanced analytics, and applied machine learning. Our Data Science & ML Engineering function powers AI-first experiences across our platformfrom recommendation systems to form intelligencewhile also building scalable infrastructure, experimentation frameworks, and customer insights that fuel our PLG motion.
Were looking for a Manager or Senior Manager of Data Science, and were flexible on level for the right candidate. As the leader of Data Science & Machine Learning Engineering, youll lead a team of 4 ICs across data science and ML engineering while remaining hands-on with technical strategy and delivery. Youll be responsible for defining the teams roadmap, maturing our AI capabilities, and partnering closely with Product, Engineering, and Analytics to bring intelligent features to life. Your remit will span everything from experimentation design to ML model deployment, all while fostering a high-performance, collaborative team environment.
Lead, mentor, and develop a team of Data Scientists and ML Engineersfostering a growth mindset, shared ownership, and deep technical curiosity.
Define and drive the roadmap for applied ML and AI initiatives across core product areas, balancing quick wins with foundational investments.
Partner cross-functionally with Product, Engineering, and Analytics to identify and prioritize high-impact opportunities for ML and experimentation.
Collaborate with Data Engineering and Analytics Engineering to ensure scalable data pipelines, model monitoring, and deployment infrastructure.
Champion a culture of reproducibility, documentation, and scientific rigor.
Support the development and deployment of machine learning models that power intelligent product features and internal automations.
Partner with stakeholders to translate ambiguous business problems into data science opportunities with clear success criteria.
Help define our long-term AI/ML strategy and tooling roadmapincluding model observability, feature stores, and governance practices.
Represent the Data Science & ML Engineering function in strategic planning discussions, technical design reviews, and cross-functional working groups.
Advocate for ethical and responsible AI practices, ensuring fairness, transparency, and explainability in our ML systems.
Support hiring, onboarding, and career development for technical talent within the team.
6+ years of experience in data science, machine learning, or a related field, with at least 12 years in a leadership or technical mentorship role.
~ Proven track record of delivering ML-powered product features or decision-support systems in a production environment.
~ Strong foundation in statistics, experimentation, and causal inferenceplus deep experience with model development and lifecycle management.
~ Proficiency in Python (and libraries such as pandas, scikit-learn, PyTorch, or TensorFlow) and SQL; familiarity with ML orchestration tools and cloud platforms.
~ Experience managing hybrid teams that include both Data Scientists and ML Engineers
MLflow, Feature Store, SageMaker, Vertex AI)
Familiarity with unstructured data modeling (e.g. You bring a coaching mindset and love growing talent as much as shipping great models
We celebrate diversity and stand firmly against discrimination and harassment of any kindwhether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Employment type Full-time

Job function Engineering and Information Technology

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Location:
Highbury, Greater London
Job Type:
FullTime

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