Data Scientist in London

Building innovative solutions; enabling safer workplaces for everyone. We’ll create a safer working world, building software to support a global network of responsible buyers, suppliers and partners. We take the pain out of compliance for over 50,000 organisations globally, helping them protect their people, their operations, and the planet. Keeping our network of hiring clients, suppliers, and contractors compliant with the standards that matter most, from health and safety and sustainability to ethical behaviour by building best in class solutions.

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 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:

• Design, develop, and deploy machine learning models for risk scoring, compliance prediction, churn analysis and contractor performance analytics.
• Build and deploy Large Language Models (LLMs) based solutions for text data insights, anomaly detection, and automated compliance checks.
• Collaborate with engineering and product teams to integrate models into production systems hosted on AWS and Azure.
• Utilize Microsoft Fabric for data ingestion, transformation, and feature engineering.
• Implement best practices for model monitoring, retraining, and performance optimization.
• 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.
• Stay current with emerging technologies in AI/ML, predictive analytics, and supply chain risk management.
• Ability to communicate with non-engineers about how technology is solving business needs, including demonstrating features for feedback.

What you’ll need to be successful:

• Education: Bachelor’s or master's in data science, Computer Science, Statistics, or related fields.
• Experience: 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.
• Exceptional communication skills, being able to translate business requirements into technical output, and the ability to relay outcomes back to the appropriate audience.

What you'll get in return:

• We have a hybrid workplace policy, where you will work from the office 3 days per week.
• Personal Health & Wellbeing / Benefits:
• Enhanced Parental Leave
• Generous annual leave
• Healthcare Plan
• Annual Giving Day – an extra day to give back to yourself or your community
• Cycle-to-work Scheme
• Future Planning:
• Pension scheme with employer contributions
• Life Assurance – 3X base salary
• Rewards Program – access to discounts and cashback
• 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 do consider where an individual might not meet all the criteria, but have the aptitude and capability, nonetheless. Our priority is to ensure we set people up for success. 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. We are 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 (likely face to face) 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.