At a Glance
- Tasks: Design and deliver innovative AI solutions for the banking sector.
- Company: Join a leading AI & Data practice in a hybrid work environment.
- Benefits: Competitive salary, bonuses, excellent benefits, and career growth.
- Other info: Collaborative team culture with opportunities to mentor and grow.
- Why this job: Work on exciting AI programmes that make a real impact in finance.
- Qualifications: Experience in AI engineering, Python, and cloud platforms required.
The predicted salary is between 80000 - 100000 £ per year.
London (Hybrid 3 days in office)
Competitive Salary + Bonus + Excellent Benefits
Are you passionate about building production-ready AI solutions that solve complex business challenges? We're looking for a Senior Consultant – AI Engineer to join a growing AI & Data practice delivering cutting-edge AI, machine learning and Generative AI solutions for leading financial services organisations. This is an opportunity to work on high-profile transformation programmes, helping clients move from AI strategy and rapid prototyping through to enterprise-scale implementation.
What you'll be doing
- Designing and delivering AI-powered products, AI Agents and intelligent automation solutions
- Building rapid prototypes and Proofs of Concept using the latest Generative AI technologies
- Developing production-ready AI applications using Python and modern cloud platforms
- Working with Large Language Models (LLMs), RAG architectures, embeddings and agent frameworks
- Collaborating with engineering, architecture and business teams to translate requirements into scalable AI solutions
- Supporting AI architecture, deployment patterns and technical design decisions
- Helping clients adopt AI responsibly, considering governance, security and regulatory requirements
- Mentoring junior consultants and contributing to a collaborative, high-performing team culture
What we're looking for
We're keen to speak with AI Engineers, Applied AI Engineers, Machine Learning Engineers and Senior Data Scientists who have experience delivering AI solutions within a consultancy or financial services environment.
You’ll ideally have experience with:
- Python and SQL
- Large Language Models (LLMs)
- Prompt engineering, fine-tuning and Retrieval-Augmented Generation (RAG)
- LangChain, LangGraph or similar agent frameworks
- Vector databases such as Pinecone, Chroma or FAISS
- AI Agents and Generative AI applications
- Cloud platforms including AWS and/or Azure
- Modern ML pipelines and MLOps practices
- Agile delivery methodologies
Experience working within Banking, Financial Services or a technology consultancy would be highly advantageous.
Why apply?
This is an opportunity to work on some of the most exciting AI programmes in the UK, using cutting-edge technologies to solve real business problems for major financial institutions. You'll join a collaborative team where you'll have the opportunity to influence AI strategy, build enterprise-scale solutions and continue developing your expertise in one of the fastest-moving areas of technology.
Senior Consultant – AI Engineer (Banking) in Slough employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant – AI Engineer (Banking) in Slough
✨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 Datatech Analytics!
✨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 Senior Consultant – AI Engineer (Banking) at Datatech Analytics.
✨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 Datatech Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Consultant – AI Engineer (Banking) at Datatech Analytics, 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 Senior Consultant – AI Engineer (Banking) in Slough
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 Datatech Analytics, 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 Datatech Analytics. 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 Datatech Analytics
✨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 Datatech Analytics!
✨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.
