At a Glance
- Tasks: Transform complex data into actionable insights and build machine learning solutions.
- Company: Established tech organisation with a collaborative culture and strong focus on internal development.
- Benefits: Competitive salary, hybrid working, excellent benefits, and career progression opportunities.
- Other info: Dynamic environment with low staff attrition and great long-term career growth.
- Why this job: Join a supportive team tackling exciting technical challenges with modern AI technologies.
- Qualifications: Experience in data science, strong Python skills, and knowledge of SQL required.
The predicted salary is between 54000 - 66000 £ per year.
Location: Maidenhead - Hybrid (3 days per week in the office)
Type: Permanent
About the Company
An established technology-led organisation that develops data-driven solutions used by a broad customer base. Having built a very solid technical team with low staff attrition, a collaborative culture and a strong emphasis on developing people internally. The successful candidate will join a supportive Data and Engineering function where they will have exposure to interesting technical challenges, modern AI technologies and plenty of opportunity to progress their career. The position comes with an excellent salary package, great benefits, hybrid working and very good long-term career progression.
What we are looking for
We are looking for a Data Scientist who enjoys turning complex datasets into practical insights and building analytical and machine learning solutions that solve genuine business problems. You will work across the lifecycle of data science projects, from exploring and preparing data through to experimentation, predictive modelling, testing and implementation.
The ideal candidate will bring:
- Commercial or academic experience applying data science, statistical or machine learning techniques to real-world problems.
- Strong programming ability using Python, with R experience considered an advantage.
- Good knowledge of SQL and relational databases.
- Experience analysing and interpreting large or complex datasets.
- Knowledge of machine learning and predictive modelling techniques.
- Experience designing experiments, testing hypotheses or carrying out A/B testing.
- Understanding of data visualisation and presenting analytical findings clearly.
- Exposure to AI-assisted development tools such as Claude Code, ideally alongside an understanding of agentic AI.
- A degree in Data Science, Statistics, Mathematics or another relevant quantitative discipline.
Responsibilities
- Exploring complex datasets to uncover patterns, trends and commercially useful insights.
- Designing, building and improving machine learning and predictive models.
- Using statistical analysis and experimentation to test ideas and measure outcomes.
- Developing data preparation processes and supporting ETL/data processing workflows.
- Working alongside Data Engineers to improve the reliability, accessibility and quality of data.
- Creating automated testing around analytical processes, data workflows and models.
- Contributing to technical discussions and helping shape the design of new solutions.
- Developing an understanding of the relevant business domain to identify new modelling opportunities and useful features.
- Communicating results and recommendations clearly to both technical stakeholders and wider business teams.
Nice to Have
Experience in any of the following would be particularly useful:
- R
- AWS
- Cloud-based data or machine learning environments
- Claude Code or similar AI-assisted development tools
- Agentic AI / AI agents
- Building or supporting production machine learning solutions
- ETL and data engineering concepts
- Automated testing of data science or ML workflows
Data Scientist - Maidenhead (£40-45k employer: Solas IT Recruitment
Join a dynamic consumer technology business in Shoreditch, London, where as a Senior Product Designer, you'll thrive in a collaborative and innovative work culture. With a strong focus on employee growth, you'll have the opportunity to take ownership of impactful design projects while working closely with cross-functional teams. Enjoy a hybrid work model that promotes work-life balance, alongside a commitment to continuous improvement and exceptional design.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Maidenhead (£40-45k
✨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 Solas IT Recruitment!
✨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 - Maidenhead (£40-45k at Solas IT Recruitment.
✨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 Solas IT Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - Maidenhead (£40-45k at Solas IT Recruitment, 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 - Maidenhead (£40-45k
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 Solas IT Recruitment, 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 Solas IT Recruitment. 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 Solas IT Recruitment
✨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 Solas IT Recruitment!
✨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.
