National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AI Scientist

Zellis
Watford
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Senior Data Scientist

Senior Data Scientist

About the roleAs an AI Scientist at Zellis you'll play a pivotal role in embedding AI-driven solutions across the Zellis HR, Workforce Management and Payroll platform and driving through their adoption. You'll work within a small, highly creative and research-driven team, designing, developing and deploying compute-efficient, powerful, and safe AI models that provide tangible value to our clients. Our mission is to redefine how AI can expand Zellis’ client base, ensuring AI goes beyond surface-level functionality to drive meaningful transformation across HR and pay solutions.You'll develop and implement AI technologies that enhance automation, decision-making, and predictive capabilities. You'll also ensure our AI solutions adhere to strict ethical, privacy, and security standards while maximising business impact.At Zellis, we balance research with practical deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback.In this role your key responsibilities will include:AI Research and Model Development: * Conducting research in AI, using a full range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. * Designing and optimising AI that enhances automation and decision-making. * Ensuring AI models are scalable and efficient for real-world enterprise deployment. * Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. * Evaluating AI model performance using statistical and business-driven metrics. * Working on natural language to SQL AI transformations to extract data value. * Working on natural language to other meta-language translation / transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). * Speech to text. * Developing explainable AI approaches for transparency and trust.AI Integration into HR, Workforce Management, and Payroll Systems: * Collaborating with the Technology teams / Engineers to integrate AI solutions across all HR and payroll modules. * Automating repetitive HR tasks like payroll processing and compliance checks. * Implementing AI-driven workforce forecasting and scheduling. * Developing AI-powered insights for HR leaders to improve talent management. * Enhancing employee self-service with AI bots, assistants, and workspaces.AI Ethics, Privacy, and Security: * Designing AI systems that are safe, unbiased, and compliant with GDPR. * Working with Legal teams to assess and mitigate AI-related risks. * Ensuring AI models do not reinforce biases in HR processes. * Implementing privacy-preserving techniques in AI solutions.Collaboration and Cross-Functional Work: * Working with Product Managers, Engineers, and business stakeholders to define AI goals. * Communicating AI concepts in a business-friendly manner. * Leading AI experimentation initiatives and contributing to internal strategy discussions. * Engaging with customers to understand AI needs and create practical solutions. * Continuous learning and innovation. * Staying up-to-date with AI and ML research relevant to HR and workforce management. * Exploring new techniques in deep learning and generative AI. * Publishing research findings in internal reports and industry conferences. * Prototype and testing AI models before full-scale deployment.Skills & experience requiredTechnical Expertise:- Understanding of transformer architectures, and large-scale language models.- Experience with data engineering, model optimisation, and distributed computing.- Strong programming skills in JavaScript, or Python / other AI-related languages.- Strong SQL and data analytics skills.- Familiarity with cloud platforms (AWS and Azure) for AI deployment.- Knowledge of MLOps principles for scaling AI models.- Understanding of knowledge graphs, semantic search, and vector databases.AI Ethics and Responsible AI:- Awareness of AI ethics, bias mitigation, and fairness in models.- Understanding of GDPR and compliance frameworks for AI in HR applications.- Ability to design fair and interpretable AI systems.Problem Solving and Critical Thinking:- Strong analytical skills to improve AI model performance.- Ability to develop innovative AI-driven solutions for business challenges.Business Acumen and HR Domain Knowledge:- Understanding of HR, payroll, and workforce management processes would be advantageous.- Ability to translate AI research into commercially viable products.- Experience working with HR datasets and organisational analytics.Collaboration and Communication:- Ability to explain AI concepts to non-technical stakeholders.- Experience working in cross-functional teams.- Strong documentation skills for AI research and best practices.- Enthusiasm for mentoring and knowledge sharing.Adaptability and Continuous Learning:- Ability to work in a fast-paced, entrepreneurial setting.- Willingness to experiment with emerging AI technologies.- Commitment to ongoing learning in AI and HR tech.- Strategic and product-focused thinking.- Vision for AI-driven business expansion at Zellis.- Focus on delivering measurable AI value to HR professionals.- Ability to balance long-term AI research with short-term business impact.- Significant experience working as a Software Engineer, with a focus on growth engineering or related field, and strong full-stack practical coding skills.Benefits & cultureAt Zellis we create AI-enabled HR, workforce management and payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services.Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from of our 3,000+ colleagues, we live and breathe every day:- Unstoppable together.- Always learning.- Make it count.- Think scale.Our people are critical to our ongoing success; we’re proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you’ll have the chance to stretch and challenge yourself in an environment that’s varied, flexible and hugely supportive.We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you’ll receive:- A competitive base salary.- 25 days annual leave, plus your birthday off and the opportunity to buy additional holiday.- Private medical insurance.- Life assurance 4x salary.- Enhanced pension scheme with company contributions up to 8.5%.- A huge range of additional flexible benefits across financial & personal wellbeing, lifestyle & leisure

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.