Responsible AI, Lead Applied Scientist - X Delivery in Slough

Responsible AI, Lead Applied Scientist - X Delivery in Slough

Slough Full-Time 80000 - 100000 € / year (est.) Home office (partial)
Boston Consulting Group

At a Glance

  • Tasks: Lead the development of responsible AI systems and evaluate cutting-edge GenAI products.
  • Company: Join Boston Consulting Group, a leader in management consulting and technology innovation.
  • Benefits: Enjoy competitive salary, diverse projects, and opportunities for career growth.
  • Other info: Collaborate with diverse stakeholders in a fast-paced, intellectually stimulating environment.
  • Why this job: Make a real impact on the future of AI while working with brilliant minds.
  • Qualifications: 3-5 years in Responsible AI, strong programming skills, and a passion for ethical tech.

The predicted salary is between 80000 - 100000 € per year.

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. Today, we help clients with total transformation - inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures - and business purpose. We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference.

Are you passionate about developing socially and ethically responsible AI systems? Are you excited by the prospect of supporting projects that apply cutting-edge AI and GenAI models to solve real-world problems? Imagine working with BCG’s Responsible AI team, where you will develop and apply innovative tools for testing and evaluating new GenAI products. Your daily work would involve designing and implementing testing and evaluation frameworks to help improve product quality and ensure AI systems are safe, secure, and equitable.

Join a team dedicated to exploring creative solutions and pioneering advancements in Responsible AI. On the team, you'll collaborate with brilliant minds and make a tangible impact on shaping the future of AI, ensuring it meets the highest standards for responsibility and effectiveness. You will have the opportunity to support a wide variety of projects, spanning use cases, technologies, industries, and clients.

The Responsible AI Applied Scientist plays a critical role supporting BCG’s testing and evaluation efforts, working in conjunction with our AI and GenAI product teams to ensure alignment with our Responsible AI policy, principles, and standards, and to support the design, continuous improvement, and execution of the overall Responsible AI program at BCG.

The Responsible AI Applied Scientist will work with a diverse set of stakeholders to:

  • Ensure responsible development of GenAI and AI products by providing Responsible AI expert support to GenAI and AI product teams, including conducting independent assessment of product-level risks and owning product evaluations.
  • Engage independently and directly with BCG product teams to support Responsible AI-related needs across the entire software development lifecycle of GenAI or AI products.
  • Work with and support technical teams executing risk assessment and testing and evaluation of GenAI and AI products.
  • Train and mentor technical teams on testing and evaluation approaches for GenAI products.
  • Remain up-to-date on emerging frameworks, standards, and technical approaches, and related issues, by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations.

3-5+ years of experience in Responsible AI, including directly engaging with AI product teams.

3+ years of industry experience in building or evaluating Generative AI models.

Experience in program/project management and team leadership.

Strong programming skills in Python and deep learning frameworks (PyTorch, TensorFlow).

Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices.

Working knowledge of emerging AI regulatory and legal frameworks across the globe.

Ability to explain sophisticated data science concepts to non-technical audiences and translate analytical results into business implications.

Ability to think critically about ethical, social, and business risks posed by GenAI and AI systems.

Passion for building things and comfort working with modern data science development tools.

Experience and enthusiasm for working with GenAI technologies.

Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience.

Deep familiarity with software engineering workflows and developer tools.

Experience working with or evaluating AI/ML models, preferably LLMs.

Strong analytical and communication skills, including the ability to write clear testing result reports.

Familiarity with software engineering practices (e.g., unit testing, CI/CD).

Exposure to cloud platforms (AWS, Azure, GCP) or SQL databases.

Knowledge of AI risk management frameworks (e.g., NIST AI RMF).

You’ll work in a fast-paced, intellectually challenging, product-oriented environment where we advance our thinking about and operationalization of Responsible AI. You’ll engage with a diverse set of stakeholders, including senior executives, AI and GenAI product teams, legal, compliance, and security teams, BCG’s Chief AI Ethics Officer, the Director of the Responsible AI team, and other members of the Responsible AI team.

All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

Responsible AI, Lead Applied Scientist - X Delivery in Slough employer: Boston Consulting Group

At BCG, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our diverse team of over 3,000 tech experts. Our commitment to employee growth is evident through extensive training opportunities and the chance to work on groundbreaking projects in Responsible AI, all while being part of a global network that values ethical practices and impactful solutions. Located in a vibrant environment, BCG provides a unique platform for professionals to thrive and make a meaningful difference in the world of AI.

Boston Consulting Group

Contact Detail:

Boston Consulting Group Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Responsible AI, Lead Applied Scientist - X Delivery in Slough

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at BCG. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a portfolio or projects that highlight your experience with Responsible AI, make sure to share them during interviews. It’s all about demonstrating what you can bring to the table.

Tip Number 3

Prepare for those tricky questions! Brush up on your knowledge of AI ethics and be ready to discuss how you would handle real-world scenarios. This shows you're not just book-smart but also practical.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the BCG team.

We think you need these skills to ace Responsible AI, Lead Applied Scientist - X Delivery in Slough

Responsible AI Expertise
Generative AI Model Evaluation
Python Programming
Deep Learning Frameworks (PyTorch, TensorFlow)
Project Management
Risk Assessment
Testing and Evaluation Frameworks

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Responsible AI role. Highlight your experience with AI and GenAI, and show how your skills align with BCG's mission to develop socially responsible AI systems.

Showcase Your Passion:Let us see your enthusiasm for Responsible AI! Share any projects or experiences that demonstrate your commitment to ethical AI development. This will help you stand out as a candidate who truly cares about making a difference.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences, especially in Python and deep learning frameworks. We want to understand your expertise without getting lost in jargon!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at BCG.

How to prepare for a job interview at Boston Consulting Group

Know Your Responsible AI Stuff

Make sure you brush up on the latest trends and frameworks in Responsible AI. Be ready to discuss how you've applied these concepts in your previous roles, especially when it comes to evaluating AI products and ensuring they meet ethical standards.

Showcase Your Technical Skills

Since this role requires strong programming skills in Python and familiarity with deep learning frameworks like PyTorch or TensorFlow, be prepared to talk about specific projects where you've used these tools. Maybe even bring along a portfolio of your work to demonstrate your expertise!

Engage with Real-World Scenarios

Think of examples from your past experience where you've tackled real-world problems using AI. Be ready to explain how you approached risk assessments and testing for AI products, as well as how you communicated complex data science concepts to non-technical stakeholders.

Ask Insightful Questions

Prepare some thoughtful questions about BCG's approach to Responsible AI and their current projects. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of developing socially responsible AI systems.