Data Scientist

Cognibox; Cardiff; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading data technology company is seeking an experienced Data Scientist in Cardiff. This role involves designing machine learning models, collaborating with engineering teams, and ensuring compliance through data insights. Ideal candidates will possess 5+ years of experience and a strong background in Python and machine learning frameworks. A commitment to innovation and teamwork in a hybrid work environment is essential.

Benefits

Integrated mental health & wellbeing support

Comprehensive medical and dental coverage

LinkedIn Learning License for upskilling

Qualifications

• 5+ years in data science or machine learning roles.
• Strong understanding of predictive modeling, NLP, and LLM architectures.

Responsibilities

• Design, develop, and deploy machine learning models for risk scoring and compliance prediction.
• Build and fine-tune Large Language Models for insights and anomaly detection.
• Collaborate with engineering and product teams to integrate models into production systems.

Skills

Experience with Python

Experience with SQL

Machine learning frameworks (TensorFlow, PyTorch)

Excellent problem-solving skills

Education

Bachelor’s or Master’s in Data Science, Computer Science, or Statistics

Tools

AWS services (S3, SageMaker, Lambda)

Microsoft Fabric

Job description

Data Scientist

Application Deadline: 31 December 2025

Department: Technology

Employment Type: Permanent

Location: Cardiff, UK

Reporting To: Vice President, AI

Description

Veriforce is seeking a data scientist with hands‑on experience building models to power workflows for business applications and internal processes. You will join a growing team of talented data modeling, data engineering, AI application engineers, and DevOps engineers to expand our platforms to integrate with LLMs, MCPS, APIs, and enterprise data. Your work will help shape the way our clients and contractors get to work faster, stay compliant, and come home safely every day.

What that means day‑to‑day

• Participate as an integral member of a cross‑functional team using agile methodologies.
• Work in an Agile based SDLC that embraces the principles of transparency, cooperation, decomposing work, and rapid iteration.
• Design, develop, and deploy machine learning models for risk scoring, compliance prediction, and contractor performance analytics.
• Build and fine‑tune Large Language Models (LLMs) for text‑based insights, anomaly detection, and automated compliance checks.
• Collaborate with engineering and product teams to integrate models into production systems hosted on AWS.
• Utilize Microsoft Fabric for data ingestion, transformation, and feature engineering.
• Conduct exploratory data analysis (EDA) and develop dashboards to communicate insights to stakeholders.
• Implement best practices for model monitoring, retraining, and performance optimization.
• Stay current with emerging technologies in AI/ML, predictive analytics, and supply chain risk management.
• Communicate with non‑engineers about how technology is solving business needs, including demonstrating features for feedback.
• Methodically debug problems to resolve issues at the root.
• Produce code that adheres to coding standards of consistency, readability, testability, security, and maintainability. Leverage AI coding assistance (e.g., Copilot, etc.).

What you’ll need to be successful

• Education: Bachelor’s or master’s in data science, Computer Science, Statistics, or related fields.
• 5+ years in data science or machine learning roles.
• Proven experience with Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Jupyter Notebooks).
• Familiarity with AWS services (S3, SageMaker, Lambda) and Microsoft Fabric.
• Strong understanding of predictive modeling, NLP, and LLM architectures.
• Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.

An excellent fit would also have:

• Experience in risk modeling, compliance analytics, or supply chain data.
• Knowledge of MLOps and CI/CD pipelines for ML deployment.
• Familiarity with data governance and regulatory compliance frameworks.

What you’ll get in return

Alcumus has a hybrid workplace policy. We want you to be able to do your best work here. We emphasize providing many ways to support our team to do their best work, and believe that if you look after your people, they look after everything else!

Personal Health & Wellbeing

• 🧠 Integrated mental health & wellbeing support
• 🌴 Vacation – starting at 3 weeks
• 💟 Wellness Days & Annual Giving Day – an extra to give back to yourself or your community
• 🩺 Comprehensive medical and dental coverage
• 😴 End of the year, company‑wide shut down for you to relax and recharge

Future Planning

• 🏫 LinkedIn Learning License for upskilling & development

Interested but don’t feel you meet all the requirements? Our recruitment team assesses and reviews all applications against the role and business needs. We believe in people having transferable and soft skills and want you to know that we consider applications that might not meet all the criteria, but have the aptitude and capability, nonetheless. We will make a final call based on our determining whether we can offer the necessary support to upskill or provide the developmental support needed for you to get the best out of this opportunity with us!

Bring Your Whole Self to Work.

Alcumus is proudly an equal‑opportunity employer. We are committed to ensuring that no candidate is discriminated against because of gender identity and expression, race, disability, ethnicity, sexual orientation, age, colour, region, creed, national origin, or sex. We are dedicated to growing a diverse team while continuing to create an inclusive environment where everyone feels safe and empowered to be themselves.

What you can expect if you apply:

• A response to your application within 15 working days
• An interview process consisting of:
• An initial discovery call with the recruiter
• A first stage interview via Microsoft Teams
• Additional interview with the stakeholders you’ll be working with closely in the role

We’re keen to ensure our hiring process allows you to be at your best, so if you need us to make any adjustments, please just let us know.

Beneficial Software

• AdSoftware for system automation

References

• Reference software for automation and integration testing