Data Scientist

Data Scientist

Etwall Full-Time 46000 - 84000 £ / year (est.) No home office possible
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Tenth Revolution Group

At a Glance

  • Tasks: Develop models and analyse data to identify risks and drive decision-making.
  • Company: Fast-growing UK tech company making waves in e-commerce.
  • Benefits: Salary up to £70,000, flexible working, and company equity.
  • Why this job: Join a dynamic team and make a real impact in a high-growth environment.
  • Qualifications: Experience in data science, strong Python and SQL skills required.
  • Other info: Collaborative culture with opportunities for professional growth.

The predicted salary is between 46000 - 84000 £ per year.

Job Description

Data Scientist – £55,000-£70,000 – Remote

A fast-growing UK tech company is seeking a Data Scientist to join their dynamic team. This is a unique opportunity to be part of a business that's scaling rapidly and making waves in the e-commerce space.

This company has recently been recognised as one of the UK's fastest-growing tech firms. They want to be the best choice for every customer, everywhere. The team is collaborative, ambitious, and thrives in a fast-paced, ever-evolving environment. You'll be part of a close-knit group driving real change.

As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making.

Key Responsibilities:

  • Develop statistical and machine learning models to simulate risk scenarios.
  • Analyse large datasets to uncover trends and emerging risks.
  • Translate insights into actionable risk mitigation strategies.
  • Build dashboards and visualisations for stakeholders.
  • Collaborate with data engineers to ensure clean, integrated data.
  • Continuously refine models to adapt to evolving risk landscapes.

Requirements:

  • Experience as a data scientist.
  • Strong Python and SQL skills.
  • Experience with machine learning frameworks and statistical analysis.
  • Knowledge of LLMs and AI modelling tools.
  • Excellent communication and problem-solving skills.
  • Comfortable working in a fast-paced, collaborative environment.

Benefits:

  • Salary up to £70,000 depending on experience
  • Flexible working culture
  • Company equity
  • Opportunity to make a real impact in a high-growth tech company

Data Scientist employer: Tenth Revolution Group

Join a fast-growing UK tech company that values collaboration and innovation, offering a flexible working culture and the chance to make a significant impact in the e-commerce sector. As a Data Scientist, you'll be part of a dynamic team where your skills will directly contribute to shaping data-driven strategies and risk mitigation efforts. With opportunities for professional growth and company equity, this role is perfect for those looking to thrive in a supportive and ambitious environment.
Tenth Revolution Group

Contact Detail:

Tenth Revolution Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, models, and visualisations. This is your chance to demonstrate your expertise in Python, SQL, and machine learning frameworks, so make it shine!

✨Tip Number 3

Prepare for those interviews! Brush up on common data science questions and be ready to discuss your past experiences. We recommend practising with friends or using mock interview platforms to build your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Scientist

Statistical Modelling
Machine Learning
Python
SQL
Data Analysis
Risk Assessment
Predictive Modelling
Data Visualisation
Collaboration
Communication Skills
Problem-Solving Skills
Experience with LLMs
AI Modelling Tools
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and machine learning frameworks. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our fast-paced team. Let us know why you're excited about this opportunity!

Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to analyse data and build predictive models. We love seeing real-world applications of your skills.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!

How to prepare for a job interview at Tenth Revolution Group

✨Know Your Data Science Stuff

Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with machine learning frameworks and statistical analysis, as these are crucial for the role. Prepare to share specific examples of projects where you've developed models or analysed datasets.

✨Showcase Your Problem-Solving Skills

During the interview, be prepared to tackle some real-world problems. Think about how you would approach risk scenarios and what data-driven strategies you would use. This is your chance to demonstrate your analytical thinking and how you can translate insights into actionable strategies.

✨Communicate Clearly

Since you'll be collaborating with cross-functional teams, it's essential to communicate your ideas effectively. Practice explaining complex concepts in simple terms. This will show that you can bridge the gap between technical and non-technical stakeholders, which is key in a fast-paced environment.

✨Be Ready to Adapt

The company is looking for someone who thrives in an ever-evolving landscape. Prepare to discuss how you've adapted your models or strategies in response to changing data or business needs. Highlight your flexibility and willingness to learn, as this will resonate well with their dynamic team culture.

Data Scientist
Tenth Revolution Group
Location: Etwall
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