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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 focus on innovation.
- 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 chance to mentor junior data scientists.
The predicted salary is between 48000 - 56000 £ 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.
- 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.
- 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 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
✨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 advanced analytics. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science interview questions. Be ready to explain your thought process and how you've tackled real business problems.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with Python, SQL, and any relevant projects that align with our needs.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, Python, and SQL, and don’t forget to showcase any relevant projects that demonstrate your skills in real business scenarios.
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 in fast-paced environments and your ability to communicate complex ideas simply.
Showcase Your Projects: If you've worked on interesting data science projects, make sure to include them in your application. Whether it's A/B testing or building recommendation systems, we want to see how you've applied your skills to solve real problems.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates directly from us!
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 specific projects where you've applied these skills, especially in real business scenarios. This will show that you can translate complex concepts into actionable insights.
✨Master the Tech Stack
Familiarise yourself with Python, SQL, and any cloud environments 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 or data manipulation tasks to demonstrate your proficiency.
✨Communicate Like a Pro
Since you'll need to explain complex analytical concepts to non-technical stakeholders, practice simplifying your explanations. Use relatable examples to illustrate your points, and be prepared to answer questions about how your work impacts the business directly.
✨Show Your Experimentation Mindset
This role values experimentation, so come prepared with examples of how you've used A/B testing or causal inference in past projects. Discuss what you learned from these experiments and how they influenced decision-making, showcasing your ability to thrive in a fast-paced environment.
