At a Glance
- Tasks: Build and deploy AI solutions in a dynamic team environment.
- Company: Join Allica Bank, the UK's fastest-growing fintech firm.
- Benefits: Enjoy flexible working, competitive salary, and private health cover.
- Other info: Great career growth opportunities and supportive onboarding.
- Why this job: Make a real impact with cutting-edge AI technology.
- Qualifications: Recent graduates with a passion for AI and strong programming skills.
The predicted salary is between 63000 - 77000 £ per year.
Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.
Our Engineering team is part of the wider organisation and is responsible for building products and technology solutions that create value across the business. We work closely with Product Managers and Designers to identify opportunities, solve customer and business challenges, and deliver high-quality products and experiences. Through collaboration, experimentation, and continuous improvement, we build solutions that support teams across the organisation and help drive meaningful outcomes.
We're looking for exceptional graduates who are excited by the opportunity to learn, contribute, and help build the next generation of products and capabilities. As a Graduate AI Engineer, you'll join a team building and deploying AI solutions in our Autonomous Lending Tribe. This role is ideal for someone who has recently graduated from a leading university and is excited about applying Generative AI, Machine Learning, and modern software engineering practices to solve real business problems.
You may not have extensive industry experience yet, but you have demonstrated your capabilities through academic projects, internships, hackathons, research, open-source contributions, or personal projects. As a Graduate AI Engineer, you'll work closely with experienced engineers, product managers, and business stakeholders to design, build, and deploy AI solutions that create meaningful impact. You'll have the opportunity to work across the full lifecycle—from experimentation and prototyping through to production deployment and monitoring.
- AI Application Development
- Build AI-powered applications using Large Language Models (LLMs) and modern AI frameworks.
- Develop Retrieval-Augmented Generation (RAG) solutions using vector databases, embeddings, and document retrieval techniques.
- Experiment with prompt engineering, agent workflows, and emerging AI capabilities.
- Software Engineering
- Build backend services and APIs that power AI applications.
- Contribute to frontend applications using React.js or similar technologies.
- Work closely with product and engineering teams to understand customer problems and develop AI-driven solutions.
- Contribute to the end-to-end delivery of AI features from concept through deployment.
- Stay current with developments in Generative AI, Machine Learning, and software engineering.
Requirements:
- Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Machine Learning, Software Engineering, Mathematics, or a related field from a reputable university.
- Strong understanding of Machine Learning fundamentals and the AI development lifecycle.
- Experience building AI, Machine Learning, or Generative AI projects through academic work, internships, hackathons, research, open-source contributions or personal projects.
- Strong programming skills in Python.
- Understanding of Large Language Models (LLMs), prompt engineering, and Generative AI concepts.
- Familiarity with Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
- Understanding of software engineering fundamentals, including testing, Git, and version control.
- Experience building web applications using React.js, Next.js, or TypeScript.
- Experience developing backend services using Python, Java, or Kotlin.
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
- Experience building and deploying an end-to-end AI solution for a real-world business use case.
- Open-source contributions, technical blogs, hackathon achievements, research publications, or notable side projects.
We offer full onboarding support and continued development opportunities, options for flexible working, pension contributions, discretionary bonus scheme, private health cover, life assurance, and family friendly policies including enhanced Maternity & Paternity leave.
That’s why Allica Bank is fully committed to flexible and hybrid working.
AI Scientist in Milton Keynes employer: Allica Bank
Allica Bank is an excellent employer that prioritises the growth and development of its employees, particularly in the role of Strategic Remote SME Portfolio Manager. With a strong focus on nurturing client relationships and providing tailored banking solutions, the company fosters a collaborative work culture that encourages innovation and teamwork. Employees benefit from competitive pension contributions, private health cover, and flexible working options, making it a rewarding place to build a meaningful career in SME banking.
StudySmarter Expert Advice🤫
We think this is how you could land AI Scientist in Milton Keynes
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Allica Bank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Scientist at Allica Bank.
✨Leverage Professional Networks
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 Allica Bank.
✨Apply Directly through Our Website
When you find a suitable opening like AI Scientist at Allica Bank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Scientist in Milton Keynes
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 Allica Bank, 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 Allica Bank. 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 Allica Bank
✨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 Allica Bank!
✨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.
