Associate Data Science Director at AKQA

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Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, Python, ML Frameworks, Generative AI, Natural Language Processing, Predictive Modeling, Computer Vision, Cloud AI, MLOps, Project Management, Stakeholder Management, Agile Methodologies, Documentation, Governance, Mentoring

Industry

Design Services

Description

At AKQA, our Invention Team sets the standard for frontier AI and data science-led delivery, helping clients maximise ROI from emerging technologies. We equip teams with the tools, support and experimentation frameworks to turn signals into scalable systems with measurable impact. As an Associate Director, Data Science & AI, you will partner with clients to build future-facing products and prototypes. You’ll lead and mentor multidisciplinary teams, manage stakeholders, and ensure initiatives meet scope, time and budget while upholding rigorous and responsible engineering. At AKQA, you’ll work in an innovative, inclusive culture, contribute to global Invention Sprints, and access ongoing development within a hybrid in‑studio/WFH model. ROLE REQUIREMENTS Lead integration of ML/AI, translating emerging research into products and prototypes. Own end‑to‑end delivery from opportunity framing to deployment; manage scope, time and budget. Set technical direction and mentor data scientists/ML engineers. Drive rapid prototyping in Invention Sprints; build proofs of concept that unlock larger engagements. Ensure best practices across data, models and MLOps; maintain clear documentation and governance. Act as the central point across client, strategy, design and engineering; communicate and track milestones. Manage agile and waterfall delivery; own SOWs, project plans and financial performance. Qualifications: MSc/PhD; 6+ years in AI; Python + ML frameworks; experience in generative/NLP/predictive/CV; cloud AI/MLOps. QUALITIES AND CHARACTERISTICS Champion AKQA’s values and the Invention ethos of curiosity and active creation. Deliver quality work with measurable outcomes and responsible AI. Build strong senior client relationships; simplify complex AI concepts. Organised, detail‑oriented, confident and resilient. Collaborative across disciplines; bridge research and real‑world application. Guide conversations to alignment; constructively challenge and propose alternatives. Mentor teams; inspire trust; connect clients to AKQA’s wider capabilities. Embrace continuous improvement; contribute thought leadership. We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach including required in-office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Responsibilities

Lead the integration of machine learning and AI, translating emerging research into products and prototypes. Manage end-to-end delivery, ensuring initiatives meet scope, time, and budget while maintaining rigorous engineering standards.