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)
Data Scientist developing advanced data analytics solutions for financial crime detection at Morgan Stanley. Collaborating with cross - functional teams to implement analytics solutions in a hybrid work environment.
Senior Data Scientist focused on pricing strategies at Americanas with a notable presence in Brazil. Engaging in statistical modeling and predictive analytics for commercial planning.
Contract Data Scientist developing and validating the company's first Marketing Mix Model in London. Transforming data into actionable insights to drive growth for strategy and creative teams.
Senior Data Science Analyst at Dotz developing predictive models for credit management. Responsible for validating and monitoring statistical models and evaluating financial impacts.
Product Analyst managing cost reduction proposals within EDAG's automotive engineering team. Collaborating across technical areas and supporting cost - saving project initiatives.
Data Scientist for College Board leveraging data analysis and machine learning to improve educational outcomes. Collaborating with teams to develop machine learning solutions and insights.
Data Scientist at Genmab focusing on advanced analytics and machine learning solutions. Partnering with domain experts to embed data - driven decision making in biotech.
Data Scientist role at LYNX focusing on data - driven solutions in finance using Python and SQL. Responsibilities include managing knowledge gathering and predictive modeling to address business challenges.
Data Manager at Bromcom, leading data - cleanse and enrichment programmes for marketing and sales. Collaborating with teams to ensure data quality and effectiveness.
Data Scientist developing technology - based solutions for clients in Greece. Collaborating with a team to enhance clients' data ecosystems and business strategies.