At a Glance
- Tasks: Design and develop AI/ML models to solve real business problems.
- Company: Join Digica, a leader in AI and ML solutions for global clients.
- Benefits: Hybrid work model, exciting projects, and a supportive culture.
- Other info: Collaborate internationally and grow in a dynamic environment.
- Why this job: Make a real-world impact with cutting-edge AI technology.
- Qualifications: 3+ years in data analysis and solid Python programming skills.
The predicted salary is between 63000 - 77000 £ per year.
Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge the gap between research and production. Our teams operate in an international environment, collaborating with customers from the US and Europe.
We’re looking for a passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment. If you like working with diverse data, collaborating with others, and seeing your models used in production, we’d love to meet you!
You will be responsible for:
- Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based)
- Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.)
- Integrating models into production environments
- Performing data cleaning, feature engineering, and model validation
- Collaborating with clients and internal teams to translate analytical results into actionable insights
We don’t expect you to know everything — but we’re looking for someone who has:
- 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling
- Practical experience with ML model deployment (on cloud or on-premise)
- Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow)
- Understanding of Windows or Linux software development platforms
- Good understanding of statistics and data preparation
- Working knowledge of SQL and version control tools (Git)
- Fluent English – for international communication and collaboration
Nice to have:
- Experience with LLMs, or Time Series
- Familiarity with tools like Docker, MLflow, Airflow, AWS/GCP/Azure
- Background in research or R&D
- Experience working in cross-functional or international teams
Soft Skills:
- Curiosity and problem-solving mindset
- Clear communication and teamwork
- Proactive attitude and sense of ownership
- Ability to explain technical concepts to non-technical audiences
What We Offer:
- Exciting projects in AI and ML with real-world impact
- Collaboration with international clients (US and Europe)
- Hybrid working model – 3 days per week in the office, with the option to work remotely on the remaining days
- Supportive, growth-oriented culture that values innovation
Data Scientist (UK) in Sale employer: Digica
At Digica, we pride ourselves on being an excellent employer by fostering a supportive and growth-oriented culture that values innovation and collaboration. As a Data Scientist, you'll engage in exciting AI and ML projects with real-world impact, while enjoying a flexible work setup and the opportunity to work with international clients. We believe in empowering our employees through continuous learning and meaningful contributions, making Digica a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (UK) in Sale
✨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 Digica!
✨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 (UK) at Digica.
✨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 Digica.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist (UK) at Digica, 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 (UK) in Sale
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 Digica, 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 Digica. 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 Digica
✨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 Digica!
✨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.
