At a Glance
- Tasks: Build and deploy machine learning models to drive data-driven decisions.
- Company: Leading Financial Services organisation known for analytics expertise.
- Benefits: Competitive salary, standard benefits, and career progression opportunities.
- Other info: Work in a structured environment with real-world applications and growth potential.
- Why this job: Join a dynamic team in London and make an impact with innovative solutions.
- Qualifications: Experience in data science, strong Python skills, and familiarity with NLP.
The predicted salary is between 75000 - 90000 £ per year.
This is an exciting opportunity for a Data Science professional to join a leading Analytics department within the Financial Services industry. Based in London, you will play a key role in driving data-driven decision-making and developing innovative solutions.
The company is a well-established organisation within the Financial Services sector, known for its robust expertise in analytics and data-driven insights. As a large organisation, it offers a structured and professional environment with opportunities to work on impactful projects.
Responsibilities:
- Build and deploy machine learning models used in real-world applications
- Work with both structured data and text (NLP) to generate insights
- Design and maintain data pipelines and production-ready systems
- Apply statistical methods to evaluate models and ensure reliability
- Collaborate with domain experts to solve complex analytical problems
- Communicate findings clearly to both technical and non-technical stakeholders
Profile:
- Hands-on and practical experience building models, and making them usable
- Ability to think quantitatively and statistically, not just in terms of tools
- Comfortable working across data, models, and production systems
- Ability to clearly explain your work and translate complex ideas into simple insights
- Strong Python skills, with the ability to write clean, production-quality code
- Solid grounding in statistics (not just surface-level understanding)
- Experience with machine learning, including classical models and some modern NLP approaches
- Experience building models that are actually used in production
- Comfortable working with real-world, messy datasets
- Familiarity with data pipelines, deployment, and maintaining ML systems
- Experience with NLP / text modelling (e.g. classification, embeddings, transformers)
- Exposure to finance, economics, or risk-related data
Job Offer:
- Competitive salary ranging from £75,000 to £90,000 per year + Company benefits
- Standard benefits package to support your professional and personal growth
- Permanent role offering stability and career progression opportunities
- An opportunity to work in the heart of London within the Financial Services industry
- Be part of a well-established organisation with a focus on analytics and innovation
If you are a motivated Data Science professional looking to advance your career in London, we encourage you to apply for this exciting opportunity!
Data Scientist - London employer: Michael Page Technology
Join a leading organisation in the Financial Services sector, where you will thrive in a structured and professional environment that champions data-driven decision-making. With a focus on analytics and innovation, this role offers competitive salary packages, comprehensive benefits, and ample opportunities for career progression, all set in the vibrant heart of London. Be part of a team that values your contributions and supports your professional growth while working on impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Michael Page Technology!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist - London at Michael Page Technology.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Michael Page Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - London at Michael Page Technology, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist - London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Michael Page Technology, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Michael Page Technology. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Michael Page Technology
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Michael Page Technology!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
