Principal Data Scientist at Faculty driving innovation in machine learning and AI solutions for clients. Mentoring teams and leading high-impact projects within a hybrid work environment.
Responsibilities
Serving as a technical authority on machine learning, statistics, and advanced data science methods to deliver innovative and impactful solutions.
Leading the development of shared resources, frameworks, and best practices adopted across teams and the company.
Driving the scoping and bid processes for large-scale, high-stakes projects, influencing client decisions with technical expertise.
Owning a portfolio of work within a specific sector, applying expert knowledge to deliver exceptional value to clients.
Leading and mentoring project teams, ensuring the successful delivery of high-value and complex projects.
Contributing to thought leadership, publishing papers, and presenting at conferences to establish a unique voice in the data science community.
Requirements
You possess the strong technical ability needed to generate original knowledge and produce a recognised contribution, especially when starting from scratch under conditions of mass uncertainty; for this reason, we are hoping you’ll hold a PhD or equivalent deep technical contribution.
You are a senior technical expert with deep knowledge in a specialised ML or data science area (e.g., NLP, Computer Vision) and broad proficiency across statistical methods.
You have advanced coding skills and proven experience building and maintaining scalable codebases.
You bring leadership and mentorship experience, capable of inspiring junior team members and leading large, complex teams to successful outcomes.
You have deep business understanding and technical proficiency within a specific industry, enabling you to drive value for clients.
You are highly proficient in strategic problem-solving, able to select appropriate solutions and balance innovation with practical implementation.
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)
Duales Studium in Data Science und Künstliche Intelligenz mit Bachelorabschluss (DHBW Mannheim). Fokus auf Digitalisierung, Prozessoptimierung und KI - gestützte Modelle.
Intern in Data Science at Wealthsimple, Canada's largest fintech company. Contributing to innovative projects in financial services while receiving mentorship and support.
Data Scientist leveraging AI and advanced analytics for data - led decisions at Zurich. Collaborating across teams to enhance the data - driven strategy and supporting business needs through data.
Data Scientist II focusing on fraud and model governance at Bank of America. Interpreting datasets, developing strategies, and applying analytics for decision making.
Data Scientist responsible for interpreting large datasets and managing fraud prevention strategies at Bank of America. Collaborating with various teams to improve risk management and reduce fraud losses.
Technical Product Owner supporting the Small Business Data Science team to enhance analytical solutions. Collaborating with stakeholders to align data science strategies with business goals.
Data Scientist supporting cross - functional AI/ML initiatives at Royal Caribbean Group. Designing, developing, and delivering analytical solutions with a focus on machine learning.
Health Data Scientist combining expertise in health communication, data analytics, and behavioral research. Joining a dynamic team to tackle global health challenges using data - driven methodologies.
Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.
Data Scientist at Capital One using ML to revolutionize customer engagements through personalization. Collaborate with elite teams to build cutting - edge recommendation systems.