National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Science Developer

Crimson Limited
Luton
9 months ago
Applications closed

Related Jobs

View all jobs

AI/ML Data Science Developer

Machine Vision Internship – Paid AI Opportunity

Data Science Engineer

Data Science Manager

Data Science Consultant - Customer Data Modelling

Data Science Lead

Data Science Developer

Luton - on site Monday - Friday 9:00 - 17:30

Salary: £38, - £42, per annum

We have a permanent opportunity for a Data Science Developer who will report to the Manager of Data Science and have responsibility for developing and supporting Business Intelligence reporting and Data Analysis to departments across the company. The role requires a proactive developer with significant experience in developing reporting and dashboards using Power BI and SAP Crystal Reports along with an excellent understanding of SQL Server databases.

Key responsibilities

Collaborating with the Manager Data Science to ensure BI solutions are built in a timely fashion and to a high level of quality Creating, enhancing and supporting Power BI dashboards and management reports (SAP Crystal Reports). Working closely with internal customers to analyse requirements and data feeds. Develop API's and data feeds working in association with third party application providers and MuleSoft development partners. Provide documentation for all deliverables to ensure other developers could potentially modify/re-use for future enhancements. Unit test all development, maintaining appropriate documentation and records. Develop and support SQL Server database queries.

Key requirements:

Experienced at BI development and data analysis in a complex business environment. Minimum two years professional experience of developing SQL Server database queries. Significant experience and a high degree of proficiency in development using Microsoft Power BI and Power Apps and SAP Crystal Reports. Ability to translate business needs to technical specifications. Strong analytical, problem-solving skills as well as a good communicator. Experience and understanding of ETL tools and processes. Experience of developing & working with API's Experience of working with large and complex data sets from multiple data sources. Experience of using queries, sub-queries and ranking Expertise in using filters to restrict data, modify a query with a predefined query filter. Good syntax knowledge of contexts and grouping within datasets for formulae and variables.

Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration.

Not interested? Do you know someone who might be a perfect fit for this role?

Refer a friend and earn £ worth of vouchers!

Crimson is acting as an employment agency regarding this vacancy

National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.