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Digica

Data Scientist

Sale
Posted about 19 hours ago
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Company Description

Digica are AI and Software Experts delivering tomorrow's AI-powered technology today. We develop intelligent software across AI domains, focusing on Deep Learning in Computer Vision, object recognition, AI on the edge, and embedded AI systems.

Keywords: Machine Learning, Computer Vision, Artificial Intelligence, Data Science, Robotics.

We work with global companies and innovative start-ups in industries such as Defence, Medical, Agricultural and Telecoms. At Digica, we transform cutting-edge science into practical technology for a better tomorrow.

Job Description

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!

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.

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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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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.

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Strong

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.

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Strong

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

Your responsibilities will include:

  • Designing and developing ML/AI models (predictive, classification, recommendation, LLM-based)
  • Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.)
  • Performing data cleaning, feature engineering, and model validation
  • Collaborating with clients and internal teams to translate analytical results into actionable insights

Requirements

We don’t expect you to know everything — but we’re looking for someone who has:

  • 3–6 years of experience in data analysis, machine learning, or statistical modeling
  • Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch, PyTorch or TensorFlow)
  • Practical experience with ML model deployment (on cloud or on-premise)
  • Good understanding of statistics and data preparation
  • Working knowledge of SQL and version control tools (Git)
  • Fluent English – for international communication and collaboration

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Additional Information

Nice to have:

  • Experience with Computer Vision, 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)
  • Flexible work setup (hybrid / partial remote)
  • Choice of employment type (B2B or Employment Contract)
  • Supportive, growth-oriented culture that values innovation
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Skills

Data Analysis
Machine Learning
Statistical Modeling
Python
NumPy
Pandas
Scikit-learn
Matplotlib
PyTorch
TensorFlow
SQL
Version Control
Computer Vision
LLMs
Time Series
Docker

Location

Sale, England, United Kingdom

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