At a Glance
- Tasks: Harness Generative AI to transform data into actionable insights and drive performance.
- Company: Join a world-renowned AI consulting firm with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with top experts in a dynamic and inclusive environment.
- Why this job: Make a real impact by solving complex challenges with cutting-edge technology.
- Qualifications: 4+ years in Data Science or IT consulting, with strong skills in Python and Generative AI.
The predicted salary is between 63000 - 77000 £ per year.
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.
As a GenAI IT Senior Data Scientist, you will work closely with our Partner Services recommendations and collaborate with other IT teams to transform stakeholder potentials into performance. 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 needs.
We’re looking for exceptional talent with experience in core Data Science and AI:
- 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.
- Strong technical expertise in Generative AI, Data Science and Machine Learning.
- Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives.
- Understanding of various GenAI platforms & middleware and how they fit in AWS Bedrock, Google Vertex, Langchain or related concepts (RAG, context windows, memory). RAG is a must!
- Excellent verbal and written communication skills in English.
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.
Global IT Data Scientist Senior Specialist in England employer: Boston Consulting Group
Boston Consulting Group is an exceptional employer that offers a unique Medical Elective Internship in London, providing medical students with invaluable insights into healthcare management. With a strong focus on employee growth and collaboration, BCG fosters a dynamic work culture where diverse perspectives drive innovation and transformation in the healthcare sector. Interns will benefit from exposure to industry leaders, cutting-edge technologies, and the opportunity to tackle real-world challenges, all while being part of a globally respected firm committed to shaping a sustainable future.
StudySmarter Expert Advice🤫
We think this is how you could land Global IT Data Scientist Senior Specialist in England
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We think you need these skills to ace Global IT Data Scientist Senior Specialist in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Boston Consulting Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Boston Consulting Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Boston Consulting Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Boston Consulting Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.