At a Glance
- Tasks: Transform business challenges into data science solutions and build impactful models.
- Company: CWG Technology, a leading UK consultancy in AI and data solutions.
- Benefits: Flexible working arrangements, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a hands-on team and make a real difference with enterprise-level data.
- Qualifications: Strong Python skills and experience with ML models and large datasets.
The predicted salary is between 50000 - 70000 £ per year.
CWG Technology is a UK technology consultancy delivering AI, cloud, and data solutions within enterprise organisations. We're hiring a Data Scientist to join a delivery team for an enterprise client programme.
About the role
You’ll work end-to-end — framing the problem with stakeholders, building and validating models against real enterprise data, and supporting their path to production alongside our engineering team. This is hands‑on delivery work in a production environment, not pure research.
Responsibilities
- Frame business problems as data science problems and translate findings back into business language
- Build, validate, and iterate on ML and statistical models against real enterprise data
- Engineer features and work with data engineers on reliable data pipelines
- Support model deployment, monitoring, and governance alongside the engineering team
- Communicate results and trade‑offs clearly to technical and non‑technical stakeholders
Essential skills
- Strong Python and the core data science stack (pandas, scikit‑learn, etc.)
- Solid grounding in statistics, ML modelling, and model evaluation
- SQL and comfort working with large, messy enterprise datasets
- Experience taking models beyond notebooks toward production
- Clear communication with business stakeholders
- Experience in regulated environments (banking, financial services, insurance)
- Exposure to MLOps, model monitoring, or explainable AI
Engagement type, rate, and working arrangements will be discussed directly with shortlisted candidates to suit the right person and the programme. Engaged through CWG Technology. UK‑based.
Data Scientist employer: CWG Technology
CWG Technology is an exceptional employer, offering a dynamic work environment where Data Scientists can thrive by engaging in hands-on delivery work that directly impacts enterprise clients. With a strong focus on employee growth, we provide opportunities for continuous learning and collaboration within a supportive team culture, all while working at the forefront of AI and data solutions in the UK. Our commitment to innovation and excellence ensures that you will be part of a forward-thinking organisation that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
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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 CWG Technology.
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When you find a suitable opening like Data Scientist at CWG 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
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 CWG 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 CWG 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 CWG 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 CWG 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.