At a Glance
- Tasks: Lead the design of innovative data and AI platforms for diverse clients.
- Company: Join Credera, a forward-thinking tech company with a supportive culture.
- Benefits: Enjoy competitive pay, comprehensive benefits, and a flexible hybrid working model.
- Other info: Great career growth opportunities in a dynamic environment.
- Why this job: Make a real impact in technology while mentoring a talented team.
- Qualifications: 8+ years in data architecture and AI platform design required.
The predicted salary is between 70100 - 100000 £ per year.
We know great talent comes in many forms - including people returning from a career break.
If you’re looking for part-time hours, flexible working, or a supportive transition back into your career, we’d love to explore how we can make this role work for you.
Are you passionate about developing a career in technology?
Does the idea of working for different clients on complex business-critical IT projects excite you?
If yes, then read on!
- Here’s what you’ll do
- Core Responsibilities
- Lead the design and development of robust data and AI platforms that support client strategic goals.
- Oversee the integration of Machine Learning & Generative AI technologies, ensuring seamless functionality and performance.
- Drive the implementation and industrialisation of Machine Learning & Large Language Models (LLMs) to enhance data processing and analytics capabilities using technologies such as GPT-4, BERT, and T5.
- Collaborate with cross-functional teams to align data and AI strategies with business objectives.
- Ensure data security and compliance with industry standards and regulations.
- Mentor and guide a team of data engineers and architects, fostering a culture of innovation and excellence.
- Lead the implementation of generative AI architectures and Proof of Concepts (Po Cs) at client sites, demonstrating the value and potential of AI-driven solutions.
- Wider Responsibilities
- Define and implement platform architectures for cloud-native Paa S and Saa S applications with a focus on data, analytics & AI.
- Ensure seamless data flow across microservices and API-driven architectures.
- Establish best practices for real‑time and batch processing in hybrid cloud environments.
- Lead the implementation of streaming technologies (Kafka, AWS Kinesis, Azure Event Hub) for real‑time data ingestion.
- Implement robust data management & governance strategies for long‑term sustainability.
- Advise clients on data platform & analytics modernization strategies.
- Work closely with business, engineering, and policy teams to align solutions with organisational goals.
- Provide guidance on best practices for cloud‑native data & analytics platforms.
Qualifications
- Proven experience (8+ years) in data architecture and AI platform design.
- Expertise in Machine Learning & Generative AI technologies and their application in data platforms.
- Familiarity with LLM implementation and industrialisation, including technologies such as GPT‑4, BERT, and T5.
- Strong leadership and project management skills.
- Excellent communication and collaboration abilities.
- In‑depth knowledge of data security and compliance standards.
- Strong knowledge of advanced data analytics and machine learning techniques.
- Strong understanding of cloud‑centric approaches to solution design & architecture.
- Preferred Experience
- Experience in leading solution implementations for medium to large teams.
- Public sector experience preferred (government, healthcare, or regulated industries).
- Strong understanding of core data management concepts over the full data lifecycle.
- Strong understanding of CI/CD and modern approaches to IT & infrastructure delivery.
- Technical Qualifications
- Certified architect in a cloud‑based platform (AWS, Azure, GCP); desired data / AI specialism.
- Certified in leading modern data warehouse / AI ecosystems (Big Query, Redshift, Synapse, Snowflake, Databricks).
Benefits
Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary and a comprehensive benefits plan.
Our consistent growth and entrepreneurial environment provide an excellent platform to embark upon an exciting career path, where your contribution really counts.
Hybrid Working Model
At Credera we operate a flexible hybrid working model.
This includes 3 days per week working onsite – either at client site (as required) or in your local Credera office (London, Manchester, Leeds or Newcastle).
We value collaboration and client impact, so our hybrid model is designed to strike a balance between flexibility, in‑person connection, and delivering exceptional outcomes for our clients.
Link to Recruitment Privacy Notice
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Principal in London employer: Credera
Credera is an exceptional employer located in the vibrant city of Newcastle upon Tyne, offering a supportive and dynamic work culture that fosters collaboration and innovation. As a Recruitment Coordinator & Sourcer, you will benefit from a flexible hybrid working model, competitive salary, and comprehensive benefits, all while having ample opportunities for professional growth within a dedicated team. Join us to make a meaningful impact in the recruitment lifecycle and advance your career in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Principal in London
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Credera.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Credera and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Principal in London
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Credera aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Credera
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Credera.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Credera.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Credera, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Credera will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
