Digica
Senior Data Scientist (UK)

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Company Description
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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 (NumPy, 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:
- Computer Vision,
- Large Language Models (LLMs),
- Time Series Analysis,
- Experience with TensorFlow, PyTorch, XGBoost, LightGBM,
- Proficiency with Git, Linux, Docker, MLflow, Airflow, AWS/GCP/Azure,
- Solid SQL and data visualization skills.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Additional Information
Nice to have:
- Proven experience leading projects and managing teams,
- Experience in presales, client workshops, or building Proof-of-Concepts (PoCs),
- 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),
- Partial remote work flexibility,
- Supportive, innovation-driven work environment focused on continuous learning and growth.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location