At a Glance
- Tasks: Lead complex data projects and design innovative analytical solutions.
- Company: Join a dynamic team of top-tier economists and data scientists.
- Benefits: Direct impact on high-profile projects and structured career progression.
- Why this job: Make a real difference with cutting-edge data science in a collaborative environment.
- Qualifications: Strong Python skills and experience with large datasets required.
- Other info: Mentorship opportunities and a passion for problem-solving are essential.
The predicted salary is between 48000 - 72000 £ per year.
For us, "Data Science" is a broad discipline. It’s not just applying machine learning, but also building bespoke software, developing interactive tools, and designing robust data pipelines. We use the right approach for the problem at hand from cutting‑edge methods to practical, robust solutions to solve our clients' most complex challenges and deliver impactful narratives.
What you’ll do:
- Lead complex client projects from scoping to delivery, designing analytical roadmaps and data product architectures.
- Build robust, scalable solutions, not just models, using Python and modern data engineering practices.
- Translate technical insights into clear, persuasive reports and presentations for senior stakeholders.
- Mentor junior team members and contribute to evolving technical standards.
- Support business development through proposals and thought leadership.
What we offer:
- Direct impact on high-profile projects with regulators and global corporations.
- A collaborative, multinational environment with top‑tier economists and data scientists.
- Structured career progression, mobility options, and hands‑on learning opportunities.
What we’re looking for:
- Strong Python skills and experience with large datasets, cloud environments, and scalable solutions.
- Expertise in machine learning, statistics, and software development principles.
- Proven ability to lead projects and communicate complex ideas clearly.
- MSc/PhD in a quantitative discipline (or equivalent professional experience).
- Consulting mindset with a passion for problem‑solving and mentoring.
Fluency in English is essential; additional languages are a plus. Oxera is an equal opportunities employer and values diversity at all levels.
Senior Data Scientist in City of London employer: Oxera Consulting group
Contact Detail:
Oxera Consulting group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work at the company. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills in real-time! Consider participating in hackathons or data science competitions. This not only sharpens your abilities but also gives you something impressive to talk about during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your Python skills and be ready to discuss your past projects. We want to see how you approach problems and deliver solutions, so have examples ready!
✨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 our team!
We think you need these skills to ace Senior Data Scientist in City of London
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your strong Python skills and experience with large datasets in your application. We want to see how you’ve used these skills in real-world scenarios, so don’t hold back on the details!
Communicate Clearly: Since you'll be translating complex ideas for senior stakeholders, it’s crucial to demonstrate your ability to communicate clearly in your written application. Use straightforward language and structure your thoughts logically.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect how your experience aligns with our needs. Mention specific projects or experiences that showcase your leadership and consulting mindset.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Oxera Consulting group
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around machine learning and software development principles. Be ready to discuss how you've applied these in real-world scenarios, as this will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise during the interview. Think of specific projects where you built scalable solutions or worked with large datasets. Being able to talk through your code or approach can really impress the interviewers.
✨Communicate Clearly and Persuasively
Since translating technical insights into clear reports is key for this role, practice explaining complex ideas in simple terms. Use examples from your past work to illustrate how you’ve effectively communicated with stakeholders.
✨Emphasise Leadership and Mentoring Experience
Be ready to discuss your leadership style and any mentoring experiences you've had. Highlight how you've guided junior team members and contributed to evolving technical standards, as this aligns perfectly with what they’re looking for.