At a Glance
- Tasks: Transform data into actionable insights and collaborate on innovative projects.
- Company: Thriving global financial services organisation with a dynamic team.
- Benefits: Up to 20% bonus, 10% pension contributions, and comprehensive benefits package.
- Other info: Enjoy hybrid working and excellent career growth opportunities.
- Why this job: Join a rapidly growing team and make a real impact in data science.
- Qualifications: Strong Python skills and experience in the data science lifecycle.
The predicted salary is between 63000 - 77000 £ per year.
#Team Candour have been retained by a thriving, global financial services organisation to add a further Data Scientist to help turn data into practical business value as part of a rapidly growing team.
Based in London, this permanent role offers hybrid working.
You will join a core team of data scientists, engineers and analysts, working in small teams with a two-week review cycle and an approach focused on developing minimum viable solutions that can be scaled.
You will work with stakeholders across business functions to identify opportunities in areas including decision-making, pricing, customer intent and monitoring.
The role combines hands‑on technical work with clear communication: you will help colleagues understand where data science can make a difference, shape effective solutions and take them through to implementation.
It will suit someone who enjoys collaboration, tackling varied business challenges and continuing to develop their data science practice.
As well as offering an unrivalled career opportunity, the organisation has one of the most comprehensive benefits packages we have seen including:
- Up to 20% bonus
- 10% company pension contributions
Essential technical skills
- Strong Python programming skills and willingness to learn software-development best practice.
- Experience with test‑driven development (TDD), using Pytest or another testing framework.
- Familiarity with version control and IT delivery tools.
- Experience across the data science lifecycle, including model development, deployment, monitoring and maintenance.
- Predictive or prescriptive analysis experience, including predictive modelling, machine learning or data mining.
- Ability to identify applications of machine learning to business problems and communicate findings clearly.
Experience with cloud deployment, commercial development and tuning of machine learning models, API development, SQL, Dev Ops, MLOps or CI/CD would be useful.
A relevant graduate or postgraduate qualification, or equivalent experience in a discipline such as engineering, mathematics, physics or statistics, is also welcomed.
Key responsibilities: Data science lifecycle
Apply data science product lifecycle principles across new projects, from design and exploratory data analysis through to model building, evaluation, deployment, monitoring and maintenance.
You will develop scientific approaches to business problems, assess the suitability of data and methods, and help ensure solutions are useful in practice.
Work may involve changing contexts and a variety of internal and third‑party data, in both large and small datasets.
You will contribute to solutions using machine learning, statistical modelling and other relevant techniques, taking an iterative approach to delivering value and developing work from an initial solution towards a more complete implementation.
Contribute to the development of production data science models and take an active role in their ongoing performance and lifecycle management.
This includes monitoring how models perform and helping to retrain, optimise or upgrade them as needed.
You will bring experience in predictive or prescriptive analysis, such as predictive modelling, machine learning or data mining, and use it to generate useful business insights.
You will also help identify where machine learning can address a business problem, assess potential approaches and communicate findings clearly to the audiences who need to act on them.
Curious? We're always available for a chat to run through the finer details………reach out anytime.
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Data Scientist - London employer: Candour
As an Associate Recruitment Consultant in Technology at our dedicated agency in Manchester, you'll thrive in a supportive environment that prioritises your individual success. With comprehensive training, generous holiday allowances, and unique team incentives like trips to Las Vegas, we foster a culture of growth and resilience, ensuring you have the resources and guidance needed to excel in this competitive industry.
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 Candour!
✨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 Candour.
✨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 Candour.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - London at Candour, 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 Candour, 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 Candour. 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 Candour
✨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 Candour!
✨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.
