Data Scientist

Ascend Consulting; Remote; GBP 60,000 - 80,000; Full time

Job summary

A growing Data Analytics company is seeking a Data Scientist to build platforms for AI data insights. The ideal candidate will have experience with data-heavy products, statistical modeling, and full-stack development in React or Node.js. You will lead engineering efforts to grow the team and solve complex problems in a dynamic startup environment. A passion for AI and machine learning is essential for success in this role.

Qualifications

• Experience with data-heavy products, charts/visualizations, and reporting.
• Background in data science or statistical modeling.
• Strong familiarity with AI, LLMs, and applied machine learning.

Responsibilities

• Lead engineering direction as the team grows.
• Design and scale real-time data products.
• Solve complex problems in a fast-moving startup environment.

Skills

Strong technical problem solving

Experience with data-heavy products

Data science or statistical modelling background

Full-stack capability (React, Node.js)

Interest in AI / LLMs

Experience with data engineering principles

Data engineering principles

Real-time data product design

Tools

React

Node.js

Job description

Dta Scientist, AI, Python, LLM, React, UK, Remote to £80,000

A growing Data Analytics outfit are looking for a Data Scientist 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 Nod 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