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- Tasks: Transform complex datasets into actionable insights using AI and machine learning.
- Company: Join a leading financial institution with a focus on innovation and analytics.
- Benefits: Flexible working options, career development, and a collaborative team culture.
- Other info: Opportunity for significant career growth in a digitally transforming environment.
- Why this job: Shape business strategy with high-visibility projects in a prestigious organisation.
- Qualifications: Strong background in data science, Python, SQL, and machine learning techniques.
The predicted salary is between 60000 - 80000 £ per year.
We are currently partnering with a leading financial institution to recruit an experienced Senior Data Scientist to join a high-impact analytics and innovation team. This is a fantastic opportunity for a data professional who is passionate about using advanced analytics, AI, and machine learning to influence strategic decision-making at scale.
As a Senior Data Scientist, you will play a key role in transforming complex and high-volume datasets into meaningful, actionable insights that directly support business growth, innovation, and competitive advantage. This role offers exposure to cutting-edge data science initiatives, alongside the chance to influence long-term strategy within one of the UK’s most established financial services organisations.
- Design, develop, and deploy statistical and machine learning models to solve business problems
- Apply AI and advanced analytics techniques to enhance decision-making and operational efficiency
- Write high-quality, production-ready Python code and contribute to shared analytics codebases
- Query and manipulate large datasets using SQL and PySpark in distributed data environments
- Ensure strong governance, risk, and control standards are embedded in all analytical work
- Strong background in statistical analysis and modelling
- Advanced programming skills in Python
- Experience working with large datasets using SQL and/or PySpark
- Advanced knowledge of machine learning and AI techniques
- Experience within financial services or strong understanding of banking products, risk frameworks, and regulation
- Data visualisation skills, with the ability to present complex insights clearly and effectively
You may also be assessed on broader competencies such as risk and controls, business acumen, strategic thinking, change and transformation, and digital and technology capability.
Join a globally recognised financial institution undergoing significant digital and data transformation. Work on high-visibility projects that directly shape business strategy. Access long-term career development and progression opportunities. Flexible location options across London, Glasgow, or Northampton. Hybrid working model and supportive, collaborative team culture.
If you’re an experienced Data Scientist looking to take the next step in your career within a prestigious and forward-thinking organisation, we’d love to hear from you.
Data Science Data Science Senior Data Scientist (Remote) in London employer: Marshall Wolfe
Contact Detail:
Marshall Wolfe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector, especially those who work with data science. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can do and how you can add value.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and data visualisation. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, SQL, and machine learning techniques, as these are key for us. Use specific examples that showcase how you've transformed data into actionable insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how it aligns with our mission at StudySmarter. Mention any relevant projects or experiences that demonstrate your ability to influence strategic decision-making.
Showcase Your Skills: Don’t just list your skills; show us how you’ve applied them in real-world scenarios. Whether it's developing statistical models or working with large datasets, we want to see how you’ve made an impact in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Marshall Wolfe
✨Know Your Data Science Stuff
Make sure you brush up on your statistical analysis and machine learning techniques. Be ready to discuss how you've applied these skills in real-world scenarios, especially in financial services. They’ll want to see that you can transform complex datasets into actionable insights.
✨Show Off Your Coding Skills
Since you'll be writing production-ready Python code, it’s crucial to demonstrate your programming prowess. Prepare to talk about your experience with SQL and PySpark, and maybe even share a snippet of code or a project you’ve worked on that showcases your abilities.
✨Understand the Business Context
Familiarise yourself with the financial institution's products and risk frameworks. Being able to connect your data science work to their business goals will show that you’re not just a techie but also a strategic thinker who understands the bigger picture.
✨Prepare for Broader Competencies
Don’t forget that they might assess you on competencies like risk management and digital capabilities. Think of examples from your past experiences where you demonstrated these skills, and be ready to discuss how you can contribute to their change and transformation initiatives.