At a Glance
- Tasks: Lead AI and ML projects, from design to deployment, while mentoring junior team members.
- Company: Digica, a leader in AI and ML solutions for global clients.
- Benefits: Hybrid work model, competitive salary, and a focus on continuous learning.
- Other info: Collaborate with international clients and enjoy a supportive work environment.
- Why this job: Join a dynamic team and make an impact in cutting-edge AI projects.
- Qualifications: 6-8 years in data science with strong Python skills and project leadership experience.
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.
Job Description
We’re looking for an experienced Data Scientist who will also act as a Technical Lead.
We need someone who not only masters Data Science techniques but can also lead projects end-to-end – from initial client discussions and solution design to production deployment of ML models.
You will be responsible for
- Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.),
- Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.),
- Integrating models into production environments,
- Performing data cleaning, feature engineering, and model validation,
- Identifying tools and specifying processes
- Mentoring junior team members and contributing to solution architecture,
- Preparing and presenting analytical results to business and technical stakeholders.
Qualifications
- 6–8+ years of professional experience in data analysis, statistical modeling, computer vision or machine learning, including at least 4 years as a Data Scientist,
- Hands-on experience deploying ML models to production, not just research-level familiarity,
- Strong proficiency in Python (Num Py, pandas, scikit-learn, matplotlib, pytorch),
- Understanding of Windows or Linux software development platforms
- Excellent command of English – both written and spoken (international client communication, presentations),
• Expertise in at least one of the following domains
- Experience with Tensor Flow, Py Torch, XGBoost, Light GBM,
- Proficiency with Git, Linux, Docker, MLflow, Airflow, AWS/GCP/Azure,
- Solid SQL and data visualization skills.
- Additional Information
Nice to have
- Proven experience leading projects and managing teams,
- Experience in presales, client workshops, or building Proof-of-Concepts (Po Cs),
- Familiarity with Hadoop, Spark,
- Research or R&D background.
- Soft Skills
- Ability to structure projects teams, make technical decisions, and own outcomes,
- Ability to manage multiple projects at the same time
- Proactive and self-driven approach, with strong organizational skills,
- Excellent presentation and communication skills,
- Business-oriented mindset – ability to translate insights into actionable recommendations,
- Mentoring attitude and willingness to support team growth.
What We Offer
- Opportunity to work on cutting-edge AI and ML projects,
- 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, innovation-driven work environment focused on continuous learning and growth.
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply
#J-18808-Ljbffr
Senior Data Scientist (UK) in Sale employer: Digica Ltd.
Digica is an exceptional employer for Senior Data Scientists, offering the chance to work on groundbreaking AI and ML projects in a supportive and innovation-driven environment. With a hybrid working model that promotes work-life balance and opportunities for continuous learning and professional growth, employees can thrive while collaborating with international clients across diverse industries. Join us to lead impactful projects and mentor the next generation of data scientists in a dynamic team setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Ltd.!
✨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 Senior Data Scientist (UK) at Digica Ltd..
✨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 Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist (UK) at Digica Ltd., 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 Senior 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 Ltd., 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 Ltd.. 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 Ltd.
✨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 Ltd.!
✨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.
