At a Glance
- Tasks: Analyze data to uncover insights and drive business decisions.
- Company: Join a cutting-edge tech company focused on innovation and growth.
- Benefits: Enjoy flexible hours, remote work options, and competitive pay.
- Why this job: Be part of a dynamic team that values creativity and impact in the tech world.
- Qualifications: Looking for analytical thinkers with a background in statistics or computer science.
- Other info: Opportunities for mentorship and professional development available.
The predicted salary is between 28800 - 42000 £ per year.
Data Scientist | Tech-Driven Transformation Project | Remote (UK)💰 £35,000 – £50,000 | 🏡 Fully Remote | 🧠 Career-Defining OpportunityAre you ready to join a company on the brink of transformation — one that’s shifting from legacy operations into a tech-first, customer-led business model? Think of it as becoming the Amazon of the tool hire world — and data is at the heart of that journey.We’re looking for a Data Scientist to support this exciting transformation and help shape the future of a brand-new digital platform. You’ll work alongside a forward-thinking data and marketing team, using customer insights to drive smarter decisions, more targeted campaigns, and long-term growth.This is not your average entry-level analyst role. You’ll be part of a high-impact customer retention project, working with real business data, informing strategic decisions, and helping to bring a traditional industry into the future through technology.You can be a recent graduate or someone who has a few years commerical experience under your belt, really we are looking for the right mentality coupled with technical prowess.🔧 About the transformationThe business has split from its legacy operations and is now focused solely on building a modern, tech-led platform. The aim? To become an industry-first digital leader, where customer experience, automation, and intelligent data use sit at the centre of everything.This is your chance to contribute to a full business transformation project — where your analysis will influence product, marketing, operations, and more.📈 What you’ll be doingAnalyzing customer data to uncover retention drivers, purchasing patterns, sales trends, and customer segmentsPartnering with marketing to deliver insight-driven campaigns and track their effectivenessSupporting the customer retention and growth project, offering data that guides business decisionsIdentifying opportunities in the marketplace and spotting behavioural trends to gain a competitive edgeBuilding dashboards and visualisations to report on KPIs and campaign resultsWorking cross-functionally with marketing, sales, data science and leadership to support the transformation journeyHelping to forecast sales and customer behaviour using exploratory techniquesCleaning, preparing, and validating data to ensure accuracy and trustworthiness in reporting🧠 You might be a great fit if you…Have a numerical, analytical or programming degree — or equivalent experienceUnderstand SQL and can use it to extract data from databasesHave experience or are open to learning Python for data exploration and basic modellingAre familiar with (or willing to learn) data visualisation tools like Power BI, Tableau, or MetabaseAre naturally curious — you want to ask questions, test assumptions, and explore trendsCan communicate clearly and translate data insights into actionable business ideasHave experience with marketplace or SaaS businesses (a bonus, not a must)Are self-motivated and thrive in a remote, flexible working environment🌍 The offer💰 £35,000 – £50,000, depending on experience and Python capability🏡 Fully remote (UK-based) — any face-to-face travel will be covered🕓 Flexible working – meetings on Monday & Friday, the rest is up to you🌴 25 days holiday + bank holidays🧓 Pension + 2x Life Insurance🎓 Chance to work on an industry-first transformation✨ Direct access to decision-makers — your insights will make an impact fast
Data Scientist employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific tools and technologies we use at StudySmarter, such as Python, R, and SQL. Highlight any relevant projects or experiences that showcase your proficiency in these areas during the interview.
✨Tip Number 2
Prepare to discuss real-world data problems you've solved in the past. We love to hear about your thought process and how you approached challenges, so be ready to share specific examples.
✨Tip Number 3
Stay updated on the latest trends in data science and machine learning. Being able to discuss recent advancements or case studies can set you apart and show your passion for the field.
✨Tip Number 4
Network with current or former employees of StudySmarter if possible. They can provide valuable insights into our company culture and what we look for in a candidate, which can help you tailor your approach.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of a Data Scientist. Familiarize yourself with the tools and technologies commonly used in the field, such as Python, R, SQL, and machine learning frameworks.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Include specific projects or achievements that demonstrate your data analysis capabilities and problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your passion for data science but also explains why you are a great fit for the company. Mention any specific projects or experiences that relate directly to the company's work.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors, typos, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data analysis, machine learning algorithms, and statistical modeling. Bring examples of past projects where you successfully applied these skills.
✨Understand the Company’s Data Needs
Research the company’s industry and specific data challenges they face. This will help you tailor your answers and demonstrate how your skills can directly benefit them.
✨Prepare for Case Studies
Many companies will present you with a case study during the interview. Practice solving data-related problems on the spot, explaining your thought process clearly and logically.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, tools, and projects you might work on. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.