ResponsibleAI, Lead Applied Scientist - X Delivery - London

ResponsibleAI, Lead Applied Scientist - X Delivery - London

London Full-Time 80000 - 100000 € / year (est.) No home office possible
Boston Consulting Group

At a Glance

  • Tasks: Develop and evaluate innovative AI systems that are socially responsible and ethically sound.
  • Company: Join Boston Consulting Group, a leader in business strategy and transformation.
  • Benefits: Competitive salary, diverse team, and opportunities for career growth in tech.
  • Other info: Collaborative environment with exposure to cutting-edge technologies and diverse stakeholders.
  • 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 innovation.

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. BCG was the pioneer in business strategy when it was founded in 1963. 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. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures - and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

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. Your work will influence the development of GenAI applications, focusing on transparency, accountability, and trustworthiness. 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. Embrace the challenge of working at the intersection of cutting-edge technology, ethical innovation, and real-world applications.

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.

What You'll Bring

  • 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.
  • Excellent written and verbal communication skills across technical and non-technical audiences.
  • 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 designing and analyzing experiments using advanced statistical methods.
  • Experience and enthusiasm for working with GenAI technologies.

Technical Skills

  • Must-have experience: Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience.
  • Strong research background in empirical evaluation, experimental design, or benchmarking.
  • 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.
  • Nice-to-have experience: Experience with quantitative social science research.
  • 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).
  • Experience with developer tools, including IDEs (e.g., VSCode, Pycharm) and environment management (e.g., Pyenv, Conda, Poetry, Docker).
  • Demonstrable contribution to open-source evaluations of GenAI.

Who You'll Work With

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.

Boston Consulting Group is an Equal Opportunity Employer. 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.

BCG is an E-Verify Employer.

ResponsibleAI, Lead Applied Scientist - X Delivery - London employer: Boston Consulting Group

At Boston Consulting Group, we pride ourselves on being an exceptional employer, particularly for those passionate about Responsible AI. Our London office fosters a collaborative and innovative work culture, offering employees the chance to engage with cutting-edge technology while making a meaningful impact on society. With ample opportunities for professional growth and development, BCG X provides a supportive environment where diverse talents can thrive and contribute to pioneering advancements in AI.

Boston Consulting Group

Contact Detail:

Boston Consulting Group Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land ResponsibleAI, Lead Applied Scientist - X Delivery - London

Tip Number 1

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

Tip Number 2

Prepare for interviews by diving deep into Responsible AI topics. Brush up on your knowledge of ethical frameworks and be ready to discuss how you can contribute to BCG's mission of creating responsible AI solutions.

Tip Number 3

Showcase your passion! When you get the chance to speak with recruiters or during interviews, let your enthusiasm for AI and its ethical implications shine through. It’s all about making a connection!

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 serious about joining the BCG team.

We think you need these skills to ace ResponsibleAI, Lead Applied Scientist - X Delivery - London

Responsible AI
Generative AI
Python
Deep Learning Frameworks (PyTorch, TensorFlow)
Program/Project Management
Empirical Evaluation
Experimental Design

Some tips for your application 🫡

Show Your Passion for Responsible AI:When writing your application, let your enthusiasm for developing socially responsible AI systems shine through. Share specific examples of projects or experiences that highlight your commitment to ethical AI practices.

Tailor Your Application:Make sure to customise your CV and cover letter to align with the job description. Highlight relevant experience in AI and GenAI, and don’t forget to mention your programming skills in Python and familiarity with deep learning frameworks.

Be Clear and Concise:Keep your writing straightforward and to the point. Use clear language to explain complex concepts, especially if you’re discussing technical details. Remember, we want to see how well you can communicate with both technical and non-technical audiences.

Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and stands out in our system. Plus, it’s super easy to do!

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 your experience aligns with BCG's commitment to ethical AI development, and think of examples where you've applied these principles in your work.

Showcase Your Technical Skills

Prepare to demonstrate your programming prowess, especially in Python and deep learning frameworks like PyTorch or TensorFlow. Have specific projects in mind that highlight your ability to build or evaluate Generative AI models, as this will be crucial for the role.

Communicate Clearly

Practice explaining complex data science concepts in simple terms. You’ll need to convey your ideas effectively to both technical and non-technical audiences, so think about how you can translate your analytical results into business implications.

Engage with Stakeholders

Be ready to discuss how you’ve collaborated with diverse teams in the past. Highlight your experience working with product teams and your approach to mentoring others on testing and evaluation methods, as this will show your leadership potential.