About Faculty
Empowering businesses with AI-driven insights
Key Highlights
- Raised $52.7M in Series A funding
- Headquartered in Old Street, London, UK
- Works with clients like Samsung, BBC, and Just Eat
- Developed Frontier, a Design Intelligence platform
Faculty, headquartered in Old Street, London, specializes in AI solutions for public and private sectors, working with clients like Samsung, the BBC, and Just Eat. The company has raised $52.7 million in Series A funding and employs between 201-500 people. Their flagship product, Frontier, is a Desi...
🎁 Benefits
Faculty offers hybrid working arrangements, equity options for employees, unlimited holidays, and comprehensive health coverage including private heal...
🌟 Culture
Faculty emphasizes a results-driven culture where employees are trusted to manage their own work schedules. The company values collaboration and innov...
Overview
Faculty is offering a Faculty Fellowship Programme in Data Science aimed at transitioning PhD graduates and experienced software engineers into data science careers. The program emphasizes real-world applications of AI and machine learning, preparing participants for impactful roles in various industries.
Job Description
Who you are
You are an aspiring data scientist or machine learning engineer, eager to transition from academia or software engineering into a role that applies artificial intelligence in real-world scenarios. You possess a strong intellectual curiosity and a desire to innovate and build responsible AI solutions that enhance products and services. You are open to learning and adapting to new technologies and methodologies in the field of data science.
You may have a background in a quantitative discipline, such as mathematics, statistics, or computer science, and are ready to leverage your analytical skills in a practical setting. You are excited about the potential of AI to transform industries and are motivated to contribute to projects that have a meaningful impact on society.
What you'll do
As a participant in the Faculty Fellowship Programme, you will engage in an intensive training program designed to equip you with the skills necessary to excel in data science and machine learning. You will learn how to apply AI techniques to solve complex problems across various sectors, including finance, healthcare, and government. The fellowship will provide you with hands-on experience in building and deploying AI models, as well as opportunities to collaborate with industry experts and real-world clients.
Throughout the program, you will participate in workshops, seminars, and practical projects that will enhance your understanding of data science principles and practices. You will also have the chance to work on case studies that demonstrate the application of AI in different contexts, allowing you to build a portfolio of work that showcases your capabilities.
What we offer
The Faculty Fellowship Programme offers a unique opportunity to transition into a data science career with the support of experienced mentors and a collaborative learning environment. You will benefit from flexible working arrangements, including hybrid working options that allow you to balance your professional and personal commitments. Faculty is committed to fostering a culture of continuous learning and development, ensuring that you are well-prepared for your future career in data science.
You will join a community of like-minded individuals who share your passion for AI and its applications. The fellowship program is designed to empower you to envision and implement powerful AI solutions that can drive positive change in various industries. Faculty values diversity and encourages applicants from all backgrounds to apply, even if they do not meet every requirement listed.
This program is not just about technical skills; it is also about building a positive legacy through technology. You will have the chance to make a real difference in the world by applying your knowledge and skills to projects that matter. Join Faculty and be part of a team that is shaping the future of AI.
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