Data Scientist

Guildford
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Government)

Data Scientist - Renewable Energy

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.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.