At a Glance
- Tasks: Design and maintain data pipelines, develop AI/ML applications, and tackle complex challenges.
- Company: A high-calibre tech consultancy with a focus on innovation and problem-solving.
- Benefits: Competitive salary, career growth, and the chance to work on greenfield projects.
- Other info: Collaborative environment with opportunities in financial services and defence sectors.
- Why this job: Join a dynamic team and make a real impact in data and AI/ML.
- Qualifications: STEM degree, experience in data engineering, and strong problem-solving skills.
The predicted salary is between 70000 - 90000 £ per year.
A growing high-calibre tech consultancy is seeking Data Engineers of various levels and disciplines to build robust, scalable data platforms and implement AI/ML for clients. They are a joint venture between two global leaders in consulting and investment management, assembling a team of exceptionally smart engineers, data specialists, and technical leaders who can solve difficult problems, communicate well, and thrive in highly demanding environments.
They are building teams in data, AI/ML, and technical leadership, focusing on hiring exceptionally strong problem solvers rather than simply matching a specific tech stack. They are looking for people who understand how things work under the hood, not just how to use the latest tools. The environment is geared towards people who enjoy tackling complex challenges, working closely with end users, and taking ownership from day one.
Most of the work is greenfield, with separate divisions in financial services and defence-related projects, and will be creating insurance and energy divisions in the near future.
They are hiring for, and value, Data Engineers who:
- Enjoy working on challenging systems
- Are friendly
- Truly understand problem-solving principles
- Are adaptable and articulate
You will design and maintain data pipelines and systems that support analytics and operational use cases, including:
- Building data pipelines and data-intensive applications
- Developing in Python and SQL
- Working with distributed systems (e.g. Spark, Databricks)
- Ensuring data quality, reliability, and performance
Data Engineer crossover with AI/ML could include:
- Integrating AI components into applications and workflows
- LLM evaluation, failure modes, and mitigation strategies
- Testing and debugging non-deterministic systems
- Understanding the risks and limitations of AI and where statistical models or deterministic logic would be more appropriate
- LLM principles and transformer architectures
- LLM performance evaluation and inference optimisations
- Developing modules for edge, constrained or air-gapped environments would be a plus
- Explainable AI or AI safety/security would be a plus
Additional Criteria:
- STEM Degree from a leading university (2:1 or above)
- Eligibility for UK SC-level security clearance
- Experience in defence or highly regulated environments is advantageous, but not required
Data Consultant (Data, AI, ML) in Newcastle upon Tyne employer: Switch Tech Talent
As a leading tech consultancy in Newcastle, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration among our Data Engineers. With a focus on tackling complex challenges in greenfield projects, we offer exceptional growth opportunities and the chance to work alongside industry leaders in AI and ML. Our commitment to employee development and a supportive environment makes us an excellent employer for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Consultant (Data, AI, ML) in Newcastle upon Tyne
✨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 Switch Tech Talent!
✨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 Consultant (Data, AI, ML) at Switch Tech Talent.
✨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 Switch Tech Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Data Consultant (Data, AI, ML) at Switch Tech Talent, 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 Consultant (Data, AI, ML) in Newcastle upon Tyne
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 Switch Tech Talent, 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 Switch Tech Talent. 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 Switch Tech Talent
✨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 Switch Tech Talent!
✨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.
