Data Scientist

Guildford
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - New

Data Scientist - Contract - 12 months

Data Scientist (Globally Renowned Retail Group)

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.