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- Tasks: Lead data science projects and apply advanced ML techniques for real business impact.
- Company: High-growth organisation in the FinTech sector with a dynamic culture.
- Benefits: Salary up to £80,000, hybrid working, and opportunities for mentorship.
- Why this job: Shape analytical standards and influence data science at scale.
- Qualifications: Strong ML experience, proficiency in Python and SQL, and excellent communication skills.
- Other info: Fast-paced environment with a focus on experimentation and innovation.
The predicted salary is between 48000 - 64000 £ per year.
A high‑growth organisation is hiring a Senior Data Scientist to accelerate how data science drives product, commercial, risk, and operational decision‑making. This is a role for someone who enjoys combining deep analysis, experimentation, and advanced machine learning to deliver real business impact. The position offers a salary up to £80,000 and a hybrid model of three days per week in a central London office.
What You’ll Be Doing:
- Leading end‑to‑end data science projects: problem framing, exploratory analysis, modelling, experimentation, and partnering with engineering on deployment.
- Applying statistics, A/B testing and causal inference to guide product and commercial decisions.
- Building advanced solutions including recommendation systems, NLP, ensemble methods, time‑series forecasting, predictive analytics, and early generative AI.
- Exploring large‑scale structured and unstructured datasets across client, operational and financial domains.
- Mentoring junior data scientists and raising analytical and modelling standards.
What We’re Looking For:
- Strong experience applying machine learning and data science techniques to real business problems.
- Proficiency in Python, SQL, and modern cloud environments (ideally GCP / BigQuery).
- Ability to communicate complex analytical concepts to non‑technical stakeholders.
- Comfort operating in a fast‑moving environment where experimentation is key.
- Bonus: Experience in a fast‑growing, hyper‑scaling FinTech environment.
Why Apply?
- Hybrid working: 3 days per week in London.
- High‑impact remit across product, marketing, risk and operations.
- Opportunity to shape analytical standards and influence how data science operates at scale.
Data Scientist in London employer: New Street Consulting Group (NSCG)
Contact Detail:
New Street Consulting Group (NSCG) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can do and how you can impact their business.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science interview questions. Be ready to discuss your past projects and how you've applied your knowledge to solve real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with machine learning, Python, and SQL, and don’t forget to mention any relevant projects that showcase your skills in a fast-paced environment.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background aligns with our needs. Be sure to mention your experience with A/B testing and causal inference, as these are key for us.
Showcase Your Projects: If you’ve worked on interesting data science projects, make sure to include them in your application. Whether it’s a recommendation system or predictive analytics, we want to see how you’ve applied your skills to real-world problems.
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 get all the updates about your application status. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at New Street Consulting Group (NSCG)
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning techniques and data science principles. Be ready to discuss how you've applied these in real-world scenarios, especially in fast-paced environments. Prepare examples of projects where you’ve led end-to-end data science initiatives.
✨Master the Tech Stack
Familiarise yourself with Python, SQL, and any cloud platforms mentioned in the job description, like GCP or BigQuery. You might be asked to solve a technical problem during the interview, so practice coding challenges and be ready to demonstrate your proficiency.
✨Communicate Like a Pro
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Think about how you can convey your analytical insights clearly and concisely, using relatable examples that show the business impact of your work.
✨Show Your Mentoring Side
Highlight any experience you have mentoring junior data scientists. Discuss how you’ve raised analytical standards in previous roles and how you can contribute to building a strong team culture. This shows you're not just a tech whiz but also a team player.
