Data Scientist

TEC Partners - Technical Recruitment Specialists
Norwich
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - London

Data Scientist | London | AI-Powered SaaS Company

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from TEC Partners - Technical Recruitment Specialists

TEC Partners are representing one of the UK’s fastest growing competition companies. They have amassed a large social media following having given out over £100 million in luxury prizes, including cars, tech and even houses! With a 4.5 Trustpilot rating and a loyal and continually expanding customer base, they have positioned themselves as one of the hottest companies to work for.

About this Data Analyst role

As a Data Analyst, you interpret data and produce reports using SQL and SSRS methodologies to provide insight into consumer behaviour using data provided from web activity, purchasing activity and any other means relevant to provide feedback on how to continue improving the customer experience and where to best focus future company efforts.

Why work as a Data Analyst with our client?

  • Basic salary £50,000 - £60,000
  • Learning and professional development opportunities
  • Career progression within a rapidly expanding business
  • The chance to enter a truly exciting company outside of a traditional data science setting

What is expected of you as a Data Analyst with our client?

  • Ideally 3+ years’ experience working as a Data Analyst
  • Experience of working as a Data Analyst within a customer driven environment such as retail and e-commerce is preferred but not essential
  • A strong academic background with a degree in Computer Science or a related field
  • A high level of proficiency using SQL, SSRS and Advanced Excel
  • Expert knowledge of Data Analysis Techniques such as Machine Learning and NLP Modelling
  • The ability to work individually and within a team
  • Strong written and verbal communication skills and the ability to explain complex computer science theories to people with varying levels of data literacy within the organisation

Responsibilities of a Data Analyst with our client

  • Review and validate data accuracy
  • Prepare reports and presentations to deliver business insights to those with varying levels of tech literacy
  • Develop and test SQL reports
  • Wider analysis including scenario modelling and impact analysis
  • Work with a problem-solving attitude and an inquisitorial nature to understand the importance of your work
  • Manage your own project

If you are interested in this Data Analyst vacancy and would like to hear more about it, please contact Stuart at TEC Partners today.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT System Data Services, Data Infrastructure and Analytics, and Software Development

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.