Trilateral Research is recruiting for a Head of Data Science to join our Technical Services team within the United Kingdom.
The Head of Data Science will be responsible for the creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance, particularly in the development and implementation of AI solutions, aligned with Trilateral Research’s mission to drive ethical and socially impactful innovation.
If this resonates with your experience and interest, we would love to hear from you!
Our company and what we do
At Trilateral Research, we provide ethical AI solutions for tackling complex social issues, from human trafficking and child exploitation, citizen security in crisis to pollution and climate change. We transform research into innovation and sustainable impact, focusing our efforts where we can enhance societal wellbeing.
We apply rigorous, cutting-edge research when developing and accessing new technologies to ensure they achieve sustainable innovation and measurable impact. Our teams include humanities specialists, social scientists, data scientists, ethical, legal, and human rights experts who work across the technology-social disciplinary divide.
Key responsibilities include but not limited to:
Strategic Leadership - Data Science & AI
Define and lead the data science and AI strategy in alignment with the company’s ethical standards and business strategy.
Drive innovation and strategic initiatives related to data science and AI, ensuring they are implemented effectively across teams.
Governance and Compliance - Data Science & AI
Oversee data science and AI governance policies and frameworks to ensure compliance with regulations such as the EU AI Act and other relevant legislation.
Implement ethical AI practices across all AI initiatives, ensuring algorithmic transparency, data privacy, and security.
Take a proactive approach to risk management, identifying and monitoring key business risks and implementing appropriate mitigating solutions.
Operational Supervision - AI Deployments
Lead and manage AI projects, ensuring timely and high-quality delivery in line with strategic objectives and provide guidance to cross-functional teams.
Supervise the technical aspects of AI implementation, including system design, deployment, and ongoing monitoring.
Interdisciplinary Engagement & Collaboration
Foster collaboration across data science, software engineering, research, and service teams.
Engage with external stakeholders, including policymakers and public sector clients, to develop AI solutions for real-world societal challenges.
Innovation & Research in AI
Lead data science and AI research efforts, identifying areas for further innovation in AI technologies and their applications and collaborate on cutting-edge research projects.
Help scope, design, and implement machine-learning models to support numerous products and programs.
Team Leadership - Data Science Function
Drive continuous improvement and education within the Data Sciences function and support recruitment and learning and development efforts for a team of data scientists.
Provide line management to staff including active management of the full employee life cycle & performance management in line with company values.
Lead the development and design of the departmental vision, capabilities, infrastructure, and quarterly/annual goals for the data science function.
Demonstrate expertise through collaborative peer-reviewed, publication and/or conference papers and wider marketing collateral (e.g., blogs, webinars, podcasts).
