At a Glance
- Tasks: Research and design AI solutions, analyse business problems, and support client projects.
- Company: Join a forward-thinking team passionate about AI and data-driven solutions.
- Benefits: Flexible remote work, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and continuous learning.
- Why this job: Be at the forefront of AI innovation and make a real impact in businesses.
- Qualifications: Analytical mindset, hands-on AI experience, and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Inference Group is a team of engineers and innovators who believe artificial intelligence can fundamentally improve the way organisations work.
Our mission is to help businesses realise genuine value from data and AI - not just through prototypes, but by building solutions that work reliably in the real world.
We help our clients move faster, think smarter, and make better decisions by combining applied AI, data, and practical consulting.
As we grow, we’re looking for people who are naturally curious, hands–on, and excited by the idea of learning as they go.
The Role
We're looking for an AI Technical Business Analyst who combines strong analytical thinking with genuine hands–on AI experience.
This is someone who is already experimenting with large language models, Claude, building AI–powered workflows, researching emerging technologies, and can confidently discuss the future of AI with senior leaders.
You’ll work closely with consultants, data scientists, and AI engineers on client projects, supporting analysis, research, documentation, presentations, and technical problem–solving.
This is a practical, varied role with lots of exposure and plenty of opportunity to grow.
You don’t need to be a hardcore engineer – what matters most is that you’re the kind of person who sees a problem and thinks “I can learn how to fix that.” Whether it’s building better analysis, improving reporting, experimenting with AI tools, or creating clearer client outputs, you’ll be hands–on and close to real work from day one.
Location
London (Remote with regular client travel to other cities)
Start Date
Immediate / within 2–4 weeks
Eligibility
Must have the permanent right to work in the UK (no visa sponsorship)
What you’ll be doing
- Research emerging AI technologies and identify practical client applications.
- Work with the team to design AI-enabled solutions for enterprise clients.
- Build and prototype solutions using leading AI platforms including Open AI and Anthropic Claude.
- Analyse business problems and translate them into AI opportunities.
- Stay at the forefront of developments across Generative AI, LLMs, AI Agents and enterprise AI adoption.
- Support team in AI strategy workshops with senior client stakeholders.
- Produce high-quality research, reports and executive presentations.
- Work with structured and unstructured data to support AI initiatives.
- Collaborate with engineers and consultants to deliver client projects.
- Evaluate AI model performance and recommend improvements.
Working With Us
We’re looking for someone with a solid analytical foundation who’s curious about AI and enjoys learning on the job.
You should be comfortable working with data, structure, and technical concepts and confident engaging in a professional, client–facing environment.
You’ll likely bring
- Experience working with Open AI, Anthropic Claude, or similar frontier AI models.
- Hands–on experience building AI workflows, prototypes, or client–facing AI solutions.
- A degree in a technical or analytical discipline (e. g. Computer Science, Data Science, Mathematics, Statistics, Engineering).
- Excellent research, analytical and critical thinking skills.
- Strong business analysis and problem–solving ability.
- Confidence presenting technical concepts to both technical and non‑technical audiences, including senior stakeholders.
- Excellent written communication and presentation skills.
- Strong SQL skills and experience analysing and interpreting data.
- Familiarity with cloud platforms such as Google Cloud, Azure or AWS.
- Experience supporting consulting, analytics or technical delivery teams.
- The ability to quickly learn emerging technologies and apply them to solve real business problems.
- A delivery–focused mindset with strong attention to detail and a commitment to high‑quality outcomes.
- Nice to have
- Experience with Python or other scripting languages.
- Exposure to prompt engineering, AI agents or LLM application development.
- Experience working with APIs and integrating AI services into business workflows.
Our Values are
- We
- Geek
- Out
Loud: we excel in our data and AI domain, using our expertise to deliver solutions that realise value.
We share our wisdom and experience proudly, no egos, just pure tech passion.
- We Act Boldly, and
- Collaborate
Openly: we explore uncharted territories, working on the new to deliver operational solutions at scale.
We don’t tread over old ground.
We collaborate openly with full transparency, learning from each other as a community.
- We are the
Connectors: we bridge the gaps between business value, data engineering, data science and deployment.
Working seamlessly as one unified team internally and externally to deliver working solutions for our clients.
- We Empower our
Customers: we equip our clients with the skills and knowledge to fully leverage, scale and deploy data and AI solutions.
We prioritise delivering operational success over prototypes and proof of concepts to provide long term value.
We build trust.
- We Love our Work: we are proud of the work we do and take ownership of it. We work on the things we love and care about, we work with passion with people we respect.
- We are
- Data
Jedis: we work on hard problems and aim to deliver working solutions at scale.
We don’t have time for politics, backbiting, gossiping, game playing or selfish behaviour.
We work as one team with a mission to deliver and we will only achieve that together.
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Technical AI Business Analyst employer: Inference Group
Inference Group is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about data and AI. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and collaboration in a remote setting, allowing you to thrive while contributing to transformative projects. Join us to be part of a forward-thinking team that values creativity and empowers you to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Technical AI Business Analyst
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Inference Group.
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We think you need these skills to ace Technical AI Business Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Inference Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Inference Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Inference Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Inference Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
