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Advanced Data and Analytics Architect - Contract

Griffin Fire
London
5 months ago
Applications closed

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Experienced Ai / Machine Learning Engineer

Junior/Mid/Senior Data Scientist - Hybrid, London

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.

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National AI Awards 2025

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