Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Guildford
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Palantir

Data Scientist (12-Month Contract)
Location: Guildford / Hybrid
About the Role
We are seeking a skilled Data Scientist to join our client’s team in Guildford for a 12-month contract. This role is ideal for someone with strong expertise in data analysis, modelling, and SAP tools, who thrives in a collaborative environment and is passionate about delivering actionable insights to drive business decisions.
You will play a key role in transforming data into meaningful reports and dashboards, ensuring data integrity, and supporting the transition of Data Warehouse reports into SAP Analytics Cloud (SAC).
Key Responsibilities
Collaborate with stakeholders to design and deliver impactful reports and dashboards for business intelligence.
Work closely with the database administrator to ensure clean, accessible, and reliable data.
Develop and maintain a single source of truth for all data-driven decisions.
Transfer and optimize existing Data Warehouse reports into SAP Analytics Cloud (SAC).
Design, develop, and maintain data models, ETL processes, and visualizations.
Integrate data from multiple sources, ensuring data quality and integrity.
Test, troubleshoot, and optimize reports and dashboards for performance and usability.
Document data models, report specifications, and development processes.
Collaborate with cross-functional teams to gather requirements and deliver successful outcomes.
Stay updated on the latest trends in data warehousing and business intelligence.
Experience Required
Technical Expertise
Strong experience in data analysis, modelling, and ETL processes.
Proficiency in SAP Analytics Cloud (SAC) and SAP DataSphere.
Knowledge of data warehousing and business intelligence tools.
Industry Knowledge
Experience working with MRP (Material Requirements Planning) and ERP (Enterprise Resource Planning) data.
Familiarity with handling protected and sensitive data (e.g., ITAR regulations).
Soft Skills
Excellent stakeholder management and prioritization skills.
Strong communication and collaboration abilities.
A proactive approach to problem-solving and continuous learning.
Why Apply?
This is a fantastic opportunity to work on impactful projects, leverage cutting-edge tools like SAP Analytics Cloud, and contribute to data-driven decision-making in a dynamic environment

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.