At a Glance
- Tasks: As a Data Scientist, tackle real-world business challenges using data science methods.
- Company: Join BCG, a leader in business strategy and transformation since 1963.
- Benefits: Enjoy a collaborative environment with opportunities for career growth and impactful work.
- Why this job: Make a difference by addressing global issues like climate change through innovative solutions.
- Qualifications: Ideal candidates are skilled in Python, machine learning, and have strong project management abilities.
- Other info: This role is based in London and offers full-time employment with a diverse team.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Data Scientist role at BCG X.
About 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—driving complex change, enabling growth, building competitive advantage, and delivering 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 management consulting, technology and design, corporate and digital ventures, and business purpose. We collaborate across all levels of the client organization to generate impactful results.
We Are BCG X
We’re a diverse team of over 3,000 tech experts united by a drive to make a difference. We work across industries and disciplines, combining experience and expertise to address society’s biggest challenges. We innovate beyond traditional boundaries, creating solutions for complex problems. Leveraging BCG’s global network, BCG X provides an ecosystem for talent to build impactful businesses, products, and services, fostering career growth and societal impact.
What You'll Do
Our BCG X teams manage the full analytics value chain: framing business challenges, designing algorithms, implementing solutions, and enabling AI adoption. Our offerings range from custom solutions to industry-specific AI software. As a Data Scientist, you will apply data science methods to real-world business issues across various industries to drive impact. You will collaborate with clients globally on topics like climate change, designing and deploying innovative solutions. You will also develop thought leadership through papers and conference presentations. Ideal candidates are curious, action-oriented, resourceful, and communicative.
We Are Looking For Talented Individuals With a Passion for Data Science
- Comfortable in client-facing roles with leadership ambitions
- Skilled at translating complex results into clear visualizations
- Capable of explaining sophisticated data science concepts understandably
- Enjoy building and coding collaboratively, with bonus experience in software development or DevOps
- Experienced in applying advanced analytics to business scenarios and synthesizing complex data
- Deep understanding of modern machine learning techniques and their business implications
- Strong project management skills
What You'll Bring
Technologies:
- Programming Languages: Python
Nice-to-have Skills
- Python
- Machine Learning
- Data Science
- Statistics
- DevOps
Location: London, England
Work Experience: Data Scientist, Data Engineer, Fullstack Developer, Machine Learning Engineer
Languages: English
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Engineering and Information Technology
Industries: Technology, Information and Internet
Contact Detail:
TieTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, United Kingdom - BCG X
✨Tip Number 1
Familiarise yourself with BCG X's recent projects and case studies. Understanding their approach to data science and the types of challenges they tackle will help you tailor your discussions during interviews.
✨Tip Number 2
Network with current or former employees of BCG X on platforms like LinkedIn. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your Python skills and machine learning techniques. Since these are key requirements for the role, demonstrating your proficiency through practical examples or projects can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've applied data science to solve real-world business problems. Be ready to share specific examples that highlight your analytical thinking and ability to communicate complex concepts clearly.
We think you need these skills to ace Data Scientist, United Kingdom - BCG X
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position at BCG X. Familiarise yourself with the skills mentioned in the job description, such as Python programming, machine learning techniques, and project management.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your data science projects, client-facing roles, and any experience with advanced analytics or software development.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to tackle complex business challenges. Use specific examples from your past experiences to demonstrate how you meet the qualifications outlined by BCG X.
Showcase Your Communication Skills: Since the role requires translating complex results into clear visualisations, consider including a portfolio or links to projects where you've successfully communicated data insights. This will help illustrate your ability to convey sophisticated concepts understandably.
How to prepare for a job interview at TieTalent
✨Showcase Your Curiosity
As a Data Scientist, curiosity is key. Be prepared to discuss how you've approached complex problems in the past and what methods you used to find solutions. Highlight your eagerness to learn and adapt, especially in client-facing roles.
✨Visualisation Skills Matter
Since translating complex results into clear visualisations is crucial, bring examples of your work. Discuss how you’ve effectively communicated data insights to non-technical stakeholders, showcasing your ability to make data understandable.
✨Demonstrate Technical Proficiency
Be ready to talk about your experience with Python and machine learning techniques. Prepare to explain how you've applied these skills in real-world scenarios, particularly in relation to business challenges and AI adoption.
✨Project Management Experience
Strong project management skills are essential for this role. Share specific examples of projects you've managed, detailing your approach to coordinating tasks, meeting deadlines, and collaborating with teams to achieve successful outcomes.