At a Glance
- Tasks: Build and deploy machine learning solutions that tackle real business challenges.
- Company: Join a leading financial services organisation with a focus on innovation.
- Benefits: Competitive salary, 15% bonus, and comprehensive benefits package.
- Other info: Collaborative culture with opportunities for professional growth and development.
- Why this job: Shape the future of Data Science in a dynamic environment with real impact.
- Qualifications: Experience in Data Science, Python coding, and machine learning techniques.
The predicted salary is between 63000 - 77000 £ per year.
We're supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability. This is a rare opportunity to join at an early stage and play a key role in shaping how Data Science is delivered across the business. This isn't a research-only environment. You'll work on real business problems, build machine learning models that drive decision-making, and collaborate closely with engineering teams to see your work deployed and used at scale.
What you'll be doing:
- Partnering with stakeholders to turn business challenges into Data Science solutions
- Exploring, preparing and analysing large, complex datasets
- Building, testing and evaluating machine learning models
- Applying techniques such as regression, classification, clustering and forecasting
- Writing clean, maintainable Python code
- Working alongside ML Engineers to deploy models into production
- Monitoring model performance and identifying opportunities for improvement
- Presenting findings to both technical and non-technical audiences
- Helping establish best practices across Data Science, experimentation and model governance
Data Scientist in York employer: Method-Resourcing
Join a forward-thinking organisation that values innovation and collaboration, offering you the chance to work on a high-profile public sector transformation programme. With a strong focus on employee growth, we provide opportunities for professional development and the chance to make a meaningful impact in your role as an Oracle Cloud Engineer. Enjoy the flexibility of remote work while being part of a supportive team that prioritises security and governance in cloud solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in York
✨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 Method-Resourcing!
✨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 at Method-Resourcing.
✨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 Method-Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Method-Resourcing, 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 in York
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 Method-Resourcing, 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 Method-Resourcing. 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 Method-Resourcing
✨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 Method-Resourcing!
✨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.
