Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Advanced Data and Analytics Architect - Contract

Griffin Fire
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Hybrid

Lead Data Engineer

Data Analyst

Lead Data Engineer

Data Engineer - Customer relationship

Analytical Data Engineer

Outside IR35

Initial contract: 6 weeks

OpenCredo (OC) is a UK based software development consultancy helping clients achieve more by leveraging modern technology and delivery approaches. We are a bunch of passionate technologists who thrive tackling complex challenges, delivering pragmatic and sustainable solutions for our clients. Curious, tenacious but always sensitive to our clients' context, we are not afraid to speak our minds to help steer our clients towards understanding and achieving their key goals.

A contract role for an advanced data and analytics architect has opened up within one of our consulting teams. This role will involve working across a diverse and varied set of data estates for a customer primarily in an assessment and consulting capacity. A key outcome will be to provide strategic and pragmatic insights regarding different platforms and estates which will be used to help shape future planning and direction. You will be working within one of our consulting teams composed of other OC technical architects and senior technologists. This role will suit someone with broad experience within data and the surrounding ecosystem. As this role requires extensive engagement with C-level executives, exceptional communication skills and strong business acumen are essential. You will be expected to bring expert advice, guidance, best practice and recommendations in specific core technologies such as Databricks, Vertex.AI as well as a range of AI techniques (Gen AI, feature engineering of AI/ML models, MLOps).

Responsibilities:

  • Strong (proven) experience in Databricks and GCP, in particular the Vertex AI platform, knowing best practice and able to recommend strategies for effective adoption.
  • Experience with MLOps, preparing training data sets, training process, model selection and deployment.
  • Experience in optimising data platforms to help accelerate and achieve strategic business goals while balancing and managing costs.

Required Skills:

With a solid and deep understanding of:

  • Data platform architecture and different use cases and topologies.
  • Standard technologies which can be used for target use cases (ingestion, orchestration, compute, etc.).
  • Ability to help define high-level standardised processes for all parts of the data lifecycle (from acquisition and storage all the way through to reporting and compute/analytics).
  • An understanding of the modern data and analytics toolchains, from Python notebooks and data ingestion/ETL/ELT tooling along with standard/enterprise reporting tools and platforms (for example - but not restricted to - Looker Studio, Power BI, Alteryx, Tableau).

You will:

  • Work with some of the most exciting new technologies.
  • Engage at a senior level across a group of insurance companies.
  • Work with driven consultants who are keen to learn and also deliver the best outcomes for the customer.
  • Spark off co-workers who’ll challenge your thinking and help you to achieve your potential.
  • Deal openly and honestly with customers.
  • Collaborate alongside senior leaders who understand and value passionate technologists.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.