At a Glance
- Tasks: Leverage Generative AI to solve real-world problems and drive impactful data science solutions.
- Company: Join Boston Consulting Group, a leader in AI consulting and business strategy.
- Benefits: Competitive salary, diverse teams, and opportunities for professional growth.
- Why this job: Make a difference by transforming stakeholder challenges into innovative AI solutions.
- Qualifications: 4+ years in Data Science or IT strategy, with strong skills in Python and Generative AI.
- Other info: Collaborative environment with a focus on creativity and strategic thinking.
The predicted salary is between 48000 - 72000 £ per year.
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.
Are you passionate about harnessing the power of Generative AI to solve real-world problems? As a world-renowned and leading AI Consulting firm, we are actively seeking hands-on GenAI experts to join our PSG BI&A Team. As a GenAI IT Senior Data Scientist you will work closely with our Partner Services Group to understand their key challenges, define GenAI products, win buy-in for your recommendations and collaborate with other IT teams to transform stakeholder potentials into performance.
Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data Science expertise and will be responsible for overseeing end-to-end Data Science and GenAI solutions, collaborating closely with the BI&A Squad to deliver on stakeholder objectives.
We’re looking for exceptional talent with experience in core Data Science and AI. You will typically have:
- +4 years experience in IT strategy and consulting, professional software development or Data Science product organisation.
- A bachelor’s or master’s degree in computer science, Engineering, or a related field, preferably with a focus on artificial intelligence, machine learning, or data science.
- Strong Data Science experience with proficiency in Python, Snowflake, DBT and Tableau with experience working in a Data Engineering team and a proven ability to communicate effectively and provide clear, actionable insights to senior stakeholders.
- Strong technical expertise in Generative AI, Data Science and Machine Learning.
- A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment.
- Outstanding analytical and conceptual skills, strong customer focus and mental agility with a results orientation.
- Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality.
- Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful outcomes.
- Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex.
- Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must.
- Experience in the organisation of workshops at peer level and facilitating meetings.
- Ability to work autonomously while contributing effectively as part of a team.
- Strong business acumen; can frame complex problems in appropriate business contexts.
- Highly professional and rigorous, results-oriented, driven and hard-working.
- Excellent verbal and written communication skills in English.
- Loyal and reliable, possessing the highest ethical standard.
- Good interpersonal skills but also judgement independency and autonomy.
- Ability to propose innovative ideas, build empathy within the firm and win the trust of key stakeholders.
You will be part of the PSG BI&A Squad and our IT Functional Technology team, partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI, and Security/Architecture teams. Together, you’ll deliver scalable, secure, and innovative GenAI solutions that will transform how PSG teams engage with technology.
Global IT Data Scientist Senior Specialist in London employer: Boston Consulting Group (BCG)
Contact Detail:
Boston Consulting Group (BCG) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global IT Data Scientist Senior Specialist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at BCG or in similar roles on LinkedIn. A friendly chat can give us insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by diving deep into Generative AI topics. We should be ready to discuss our experience and how it aligns with BCG's goals. Practising common interview questions can help us articulate our thoughts clearly.
✨Tip Number 3
Showcase our projects! If we’ve worked on any cool data science or AI projects, let’s make sure to highlight them during interviews. Real-world examples can really impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can keep track of our application status easily that way.
We think you need these skills to ace Global IT Data Scientist Senior Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a GenAI IT Senior Data Scientist. Highlight your proficiency in Python, Snowflake, and any relevant AI projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Generative AI and how your background makes you a perfect fit for BCG. Be sure to mention specific challenges you've tackled in the past that relate to the role.
Showcase Your Problem-Solving Skills: In your application, don't just list your skills—demonstrate them! Share examples of how you've used your analytical and conceptual skills to solve complex problems. We love seeing candidates who can think strategically and creatively!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be able to track your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Boston Consulting Group (BCG)
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in Generative AI. Be prepared to discuss specific projects you've worked on, especially those involving LLMs or RAG. This will show your depth of knowledge and passion for the field.
✨Showcase Your Data Science Skills
Be ready to demonstrate your proficiency in Python, Snowflake, DBT, and Tableau. Prepare examples of how you've used these tools to solve real-world problems, as this will highlight your technical expertise and problem-solving abilities.
✨Communicate Clearly and Effectively
Practice articulating complex data science concepts in a way that’s easy to understand. Remember, you'll need to communicate with senior stakeholders, so focus on providing clear, actionable insights that align with business objectives.
✨Demonstrate Your Collaborative Spirit
Since you'll be working closely with various teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've facilitated workshops or meetings, and how you’ve built trust with key stakeholders to drive projects forward.