At a Glance
- Tasks: Drive AI strategy by analysing costs, forecasting adoption, and shaping business decisions.
- Company: Join Autodesk, a leader in innovative design technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Be at the forefront of AI transformation and influence real-world design solutions.
- Qualifications: Experience in data science, financial modelling, and strong analytical skills required.
The predicted salary is between 58500 - 71500 £ per year.
Autodesk is building the next generation of AI capabilities that will transform how customers design and make. The Foundation Models team develops AI technologies that operate across Autodesk’s platform and business units. This role provides the analytical foundation needed to guide adoption, monetization, cost modeling, and strategic planning for these AI investments.
You will apply structured problem-solving, financial modeling, usage analytics, and cost analysis, including inference COGS and GPU cost economics, to inform business decisions. This role requires fluency, or the ability to ramp quickly, in cloud, GPU, and inference cost dynamics as they relate to AI product economics, COGS, scaling, and margin.
Your work will clarify how foundation models scale, how they affect Autodesk’s economics, and how the company should prioritize investment and deployment across multiple product areas. The successful candidate will operate at the centre of Autodesk’s AI transformation, shaping business strategy and analytics that inform AI development, technology roadmaps, and long-term priorities.
They will develop structured strategic frameworks, adoption and impact forecasts, and decision-support insights that guide Autodesk’s AI portfolio and enable leadership alignment across industry groups and executive forums.
- Build analytical and financial models that quantify the business impact of AI capabilities across Autodesk’s platform and industry groups, including Architecture, Engineering & Construction, Product Design & Manufacturing, and Media & Entertainment.
- Develop forecasts for AI adoption, usage, revenue influence, inference costs, margin implications, and long-term planning.
- Construct business cases and decision-ready analysis to guide investment, prioritization, monetization, pricing, packaging, and leadership reviews.
- Model and optimize cloud, GPU, and inference economics, including utilization, scaling behaviour, cost efficiency, COGS, cost-to-serve dynamics, and margin implications.
- Translate product telemetry into insights supporting monetization, pricing, packaging, and cross-industry growth opportunities.
- Create executive- and Board-ready presentations, narratives, and slide materials that communicate strategic recommendations, investment plans, trade-offs, and business priorities with clarity and impact.
- Contribute to building repeatable dashboards, reporting frameworks, and tools to enable data-driven execution across Product, Finance, and Engineering teams.
Operate as a self-starter with the ability to work independently, take ownership, and drive work forward in an ambiguous environment. Demonstrated ability to navigate ambiguity, structure complex problems, and build frameworks from the ground up.
Strong financial modeling and analytical skills; Excel required, with SQL or Python familiarity preferred. Ability to create structured, executive-ready presentations and strategic narratives, including management consulting-style PowerPoint decks. Strong communication skills with the ability to translate complex analysis into clear, actionable insights.
Experience with cloud, GPU, and inference cost structures, or demonstrated ability to ramp quickly on AI infrastructure economics. 5+ years of experience in business strategy, analytics, strategic finance, business operations, product strategy, product analytics, management consulting, or a similarly analytical role.
Masters or Bachelor’s degree in a relevant field, such as Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience. Self-starter with the ability to work independently, take initiative, and drive work forward.
Experience building financial, operating, or business models across adoption, usage, revenue, COGS, margin, and ROI. Ability to work effectively across multiple stakeholders and cross-functional teams.
BS or MS in Data Science or a related field, with 3–5 years of relevant experience depending on educational background. Experience with AI infrastructure, usage-based monetization models, model serving, inference costs, GPU economics, cloud economics, or compute cost optimization.
Experience in SaaS economics, cloud cost analysis, or AI/ML-driven products. Background in subscription analytics, pricing, packaging, or monetization strategy. Experience with AI agents and API-driven business models.
Data Science AI Strategy in London employer: Autodesk
Autodesk is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the flexibility of remote or hybrid work arrangements in the UK. With a strong emphasis on professional growth, Autodesk provides ample opportunities for skill development and career advancement, making it an ideal place for those looking to make a meaningful impact in the field of AI-driven business economics.
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We think you need these skills to ace Data Science AI Strategy in London
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
