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Senior Developer

Ascend Consulting

Willenhall

Remote

GBP 68,000 - 80,000

Full time

3 days ago
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Job summary

A growing data analytics firm in the UK is seeking a Senior Developer to build robust platforms for AI data insights. The role requires experience with data-heavy products, as well as full-stack capabilities in technologies like React or Node.js. The successful candidate will lead engineering efforts in a fast-paced startup environment and have a strong understanding of AI and data science principles.

Qualifications

  • Experience with data-heavy products is essential.
  • Strong capability in full-stack development required.
  • Understanding of data science and statistical modeling necessary.

Responsibilities

  • Lead the engineering direction and grow the team.
  • Develop robust platforms delivering AI data insights.
  • Design and scale real-time data products.

Skills

Strong technical depth
Experience with data-heavy products
Background in data science
Flexibility and entrepreneurial spirit
Full-stack capability (React, Node.js)
Experience with charting libraries
Understanding of LLMs
Ability to design and scale real-time data products
Job description
Senior Developer, Data Science, AI, UK, Remote to £80,000

A growing Data Analytics outfit are looking for a Senior Developer as they look to build robust platforms to deliver AI Data insights. They are looking for a someone who has experience with data heavy products, data science, AI and statistical modelling. You will also have some full stack capability in React or Node or similar. The successful candidate will be able to lead the engineering direction as they look to grow their team rapidly over the next 12 months.

Skills and Responsibilities
  • Has strong technical depth and can think on their feet when solving complex problems
  • Has experience with data-heavy products, charts / visualisations, and reporting
  • Brings some background in data science or statistical modelling
  • Is highly flexible, entrepreneurial, and excited by a big challenge
  • Can eventually lead the engineering direction of the product as we grow
  • Has interest or experience in AI / LLMs, training models, and applied ML
  • Strong full-stack capability (React, Node.js or similar)
  • Experience with data-heavy systems, charting libraries, reporting frameworks
  • Strong exposure to data engineering or data science principles
  • Understanding of LLMs, model integration, prompt engineering, or model training pipelines
  • Ability to design and scale real-time data products
  • Comfortable in a fast-moving startup environment, taking ownership and initiative

Candidates with experience at research / analytics companies or AI-driven SaaS platforms tend to be a good fit

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