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

Nominate & Attend

Analyst Engineer

London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist, Analyst AVP

Business Analyst CRM Marketing

DATA ANALYST - LONDON (HYBRID) - SQL, AWS, £60k

Design Systems Analyst (Smart Places & Digital Twin Specialist)

Data Scientist, Analyst AVP

Data Scientist / AI Engineer...

Analyst Engineer (Palantir Foundry) – London – Salary Up To £60,000 per annum

Are you an analytically minded engineer ready to thrive in the AI era? A true Palantir enthusiast? Then Morela has the opportunity for you.

Morela are proud to be working with one of the UK’s leading Palantir partners, who are growing rapidly and now looking to bring on an Analyst Engineer to help meet increasing demand. This role sits at the intersection of data analysis, client delivery, and engineering perfect for someone who can bridge technical know-how with business insight, particularly within the Palantir Foundry ecosystem.

You’ll be joining a consultancy that operates at the cutting edge of AI and advanced technologies, helping organisations embed powerful software into complex environments. With a strong presence across public and private sectors, their services span from high-level advisory and programme design to engineering and digital execution. The team is known for its collaborative mindset and deep domain knowledge, working closely with clients to solve real-world problems with smart, data driven solutions.

Core Responsibilities

Client Focused Problem Solving: Collaborate with clients to understand their key challenges and translate these into actionable data workflows using Palantir Foundry.
Data Interpretation & Modelling: Analyse large datasets to extract trends, insights, and key metrics that support strategic decision-making.
Operational Workflow Design: Help design and optimise operational processes within Foundry, supporting automation and efficiency at scale.
Low Code/No-Code Development: Build and maintain data pipelines, dashboards, and user-facing applications using Foundry’s tools and frameworks.
Stakeholder Collaboration: Serve as the link between engineering teams and business users translating technical insights into clear, accessible outcomes.
Continuous Improvement: Support the ongoing refinement of client-facing solutions, ensuring they remain effective, scalable, and impactful.
What We’re Looking For

Educational Background: A degree in a STEM-related field such as Computer Science, Engineering, Data Science, Mathematics, or Physics.
Analytical Thinking: Comfortable working with data to solve complex problems and communicate clear, actionable insights.
Tool Proficiency: Familiarity with SQL, Python, or scripting languages is beneficial but experience working with data tools, low-code platforms, or BI tools (e.g., Foundry, Tableau, Power BI) is key.
Strong Communicator: Confident working with both technical and non-technical stakeholders, translating insights into real-world value.
Curious & Adaptable: Enthusiastic about learning new tools and adjusting to client needs in dynamic, fast-paced environments.
Team Player: Collaborative and eager to contribute to a high performing, mission-driven team.
Willing to Travel: Open to occasional travel (up to 25%) depending on the project.
As an Analyst Engineer, you’ll play a crucial role in turning raw data into insight and insight into action. Whether it’s streamlining logistics, enhancing operational efficiency, or supporting mission-critical programmes, your work will have real, tangible impact.

Please do not hesitate to reply and reach out to Morela today to find out more

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.