At a Glance
- Tasks: Develop and optimise data platforms, pipelines, and AI solutions for major clients.
- Company: Dynamic organisation investing in Data & AI with a collaborative culture.
- Benefits: Competitive salary up to £50k, bonuses, and career progression opportunities.
- Other info: Exciting projects with access to cutting-edge tech and a clear career path.
- Why this job: Join a team tackling complex challenges and make a real impact in the data world.
- Qualifications: Experience in data analytics, SQL, Python, and cloud technologies required.
The predicted salary is between 60000 - 80000 £ per year.
Data & AI Consultant - London (Hybrid) - Up to £50,000 - Permanent
We're currently partnering with an organisation who are investing heavily in their Data & AI function.
With the demanding growth of data-driven transformation, they need a talented Data & AI professional to help deliver innovative solutions for some of the world's largest and most recognised organisations.
This is an exciting opportunity to work on large-scale transformation programmes, helping clients to develop value through modern cloud and data platforms, advanced analytics and AI solutions.
You'll join a cooperative team, working closely with business and technology stakeholders to solve complex challenges and creating an impact by delivering outcomes across a variety of sectors.
The Role
- Develop and maintain scalable data platforms and cloud-based solutions.
- Design, build, and optimise data pipelines, data models and warehouse environments.
- Analyse business requirements and identify effective data-driven approaches to solve problems.
- Work with teams across the business to gather requirements and deliver data solutions that support decision-making.
- Support the implementation of analytics, AI and machine learning capabilities where appropriate.
- Monitor, troubleshoot, and improve the performance, reliability and quality of data systems.
- Provide technical input into the design and development of new data products and solutions.
- Share knowledge and support the development of less experienced team members.
- Keep up to date with new technologies, tools and best practices across data engineering, cloud, analytics and AI.
- Contribute to continuous improvement initiatives, helping to enhance processes, standards and ways of working.
- Required Skills & Experience
- Proven strong exposure to data analytics or engineering projects in a client-facing environment.
- Strong understanding of data engineering, warehousing, modelling and architecture practices.
- Proficiency in SQL and Python, with experience working with large and complex data sets.
- Hands‑on experience building data pipelines and modern data platforms.
- Strong knowledge of cloud technologies.
- Proven ability to translate business requirements into large data-driven solutions.
What do they offer?
- Clear path for career progression within a growing Data & AI practice.
- Access to cutting-edge cloud and analytics technologies.
- Opportunity to work on complex, high‑profile data programmes.
- Base salary up to £50k with a great bonus and benefits package.
Interview processes have started now, so if you're a data‑driven professional looking for your next challenge, it'd be great to hear from you.
Drop me an email at
All candidates must be available to travel on-site at least 3 days a week.
To be eligible for this role you're required a full, unrestricted right to work in the UK.
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Data & AI Consultant in London employer: Cyber Security training courses
As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Consultant in London
✨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 Cyber Security training courses!
✨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 Data & AI Consultant at Cyber Security training courses.
✨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 Cyber Security training courses.
✨Apply Directly through Our Website
When you find a suitable opening like Data & AI Consultant at Cyber Security training courses, 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 Data & AI Consultant in London
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 Cyber Security training courses, 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 Cyber Security training courses. 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 Cyber Security training courses
✨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 Cyber Security training courses!
✨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.
