Why Faculty?
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
Why Faculty Fellowship at Accenture?
Founded in 2014, Faculty is one of Europe’s leading applied AI companies. Faculty’s PhD-heavy team of deep AI experts has delivered hundreds of real-world AI products to improve critical public services and drive sustained economic returns across every sector of the economy. Widely recognised as a leader in AI safety, Faculty works for the world’s leading AI labs, such as OpenAI, Meta and Anthropic, to ensure their latest models are safe, human-led and explainable.
The Faculty Fellowship builds the AI talent engine for the world’s most ambitious organisations. It hand-picks exceptional scientific minds and accelerates them into the top tier of AI practitioners. Past Fellows hold some of the most critical AI posts for organisations across every sector of the economy.
Today, Faculty and Accenture are bringing this model to India.
Faculty Fellowship at Accenture combines Faculty’s deep expertise in applied AI with Accenture’s global scale, industry reach and experience delivering technology transformation for the world’s leading organisations. Fellows will learn from experienced practitioners, work on meaning real-world challenges and develop skills required to apply AI where it matters most.
About the Role
As a Fellow, you will join a select cohort of technically exceptional individuals applying AI and data science to solve real-world business challenges.
This intensive eight-week programme is designed to bridge the gap between academia and industry, combining immersive training, hands-on project experience and mentorship from experienced practitioners. Throughout the programme, you will develop the practical technical, commercial and communication skills required to succeed in modern AI and data science roles.
Working alongside Faculty and Accenture teams, you will apply advanced analytical and machine learning techniques to meaningful business problems, gaining exposure to industry-leading tools, technologies and ways of working.
This is an opportunity to accelerate your transition into industry while building relationships across two organisations at the forefront of AI and technology transformation.
Please note that this programme is explicitly designed for individuals transitioning from academia or research into industry, rather than established commercial data scientists.
How it Works
2 Weeks of Intensive Training: Learn how to apply your advanced technical knowledge to real-world AI and data science problems through expert-led training delivered by Faculty practitioners.
6 Week Paid Project Placement: Work on a high-impact project, applying AI and data science techniques to meaningful business challenges with support from Faculty and Accenture mentors.
Demo Day Finale: Present your work to senior stakeholders and industry leaders, showcasing your technical capabilities and project impact.
To see how this model has successfully operated for over a decade, you can explore the Faculty UK Fellowship Page as an example. Please note that while the core educational ethos remains identical, specific logistics and post-programme pathing for this pilot are tailored uniquely to our India cohort.
Who We're Looking For
You hold a finished PhD or Master’s degree in a STEM subject, complemented by a strong foundation in data science or machine learning.
You possess a high level of mathematical competence alongside solid experience with theoretical concepts like hypothesis testing, Bayesian inference, and neural networks.
You demonstrate strong programming skills, particularly in Python, and feel comfortable navigating core data science coding libraries.
You bring an entrepreneurial mindset, showing the resilience and autonomy needed to structure your own project plans and hit critical deadlines.
You can communicate complex technical ideas clearly, adapting your language seamlessly for both technical peers and non-technical partners.
You thrive in fast-paced, ambitious environments, showing curiosity and a relentless drive to learn and deploy new technologies.
Requirements
Right to Work: You must have the right to work full-time in India. Unfortunately, we cannot sponsor this role, so please only apply if you already hold the appropriate right to work in India. If this is based on a visa, please provide details within your application.
Location & Logistics: You must be able to work in-person in Bengaluru for the full duration of the eight-week programme. Please note that neither Faculty nor Accenture provide accommodation or travel expenses for participation in the programme.
Timelines
Technical Assessment: July 2026 | Candidates will be notified via email.
Interviews: July–August 2026 | Interviews will be conducted remotely via Google Meet.
Final Notifications: August 2026
Programme start: Early September 2026
*Please note that programme dates are tentative and may be adjusted if required. We will notify all applicants of any updates and changes as early as possible.
What the Fellowship Offers
Paid Experience: Fellows receive a competitive stipend/salary for the full eight-week duration of the programme and will be hired by Accenture.
Expert-Led Training: Two weeks of immersive lectures and workshops, followed by weekly Friday masterclasses, bridging the gap between academic theory and commercial data science.
Dedicated Mentorship: Receive ongoing support and guidance from experienced Faculty and Accenture practitioners as you apply your learning to real projects.
High-Impact Projects: Work on meaningful business challenges alongside Faculty and Accenture teams, applying AI and data science techniques to real-world problems.
Career Acceleration: A proven pathway into industry, backed by a decade-long track record of launching exceptional individuals into top-tier AI careers. While permanent employment post-programme cannot be guaranteed and is subject to performance and headcount , the fellowship provides dedicated presentation coaching and career pathing advisory during the programme to support your transition.
Faculty & Accenture Network: Build relationships with Faculty practitioners, Accenture leaders and a growing Fellowship alumni network of more than 500 individuals.
Demo Day Showcase: Present your work to senior leaders and industry guests, showcasing your technical capabilities and project outcomes.
Our Recruitment Ethos
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Data & Analytics (1)