Data Scientist
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Data Scientist

Leeds Full-Time 30000 - 42000 £ / year (est.) No home office possible
Apply now
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At a Glance

  • Tasks: Transform raw data into insights, create dashboards, and support business strategies.
  • Company: Morgan King Group focuses on scale-ups and building high-calibre teams in various industries.
  • Benefits: Enjoy a full-time role with opportunities for growth and collaboration across teams.
  • Why this job: Join a dynamic team where your data skills can drive impactful business decisions.
  • Qualifications: 1-3 years in data analysis, strong SQL and Python skills, and knowledge of visualisation tools required.
  • Other info: Ideal for those passionate about data and looking to make a difference in a supportive environment.

The predicted salary is between 30000 - 42000 £ per year.

Morgan King Group is on the lookout for a Data Scientist with a knack for problem-solving and a passion for turning raw data into meaningful insights. If you’ve got 1-3 years of experience and love working with data, dashboards, and reporting, this could be a great opportunity for you!

What’s the role about?

  • Collecting, cleaning, and analysing data to uncover key insights.
  • Creating dashboards and reports using Tableau, Power BI, or Matplotlib.
  • Performing statistical analysis to support business strategies.
  • Working with stakeholders to define key metrics and improve reporting processes.
  • Automating data pipelines and reporting workflows where possible.
  • Supporting predictive analytics and trend forecasting.

What we’re looking for:

  • 1-3 years of experience in data analysis, reporting, or data science.
  • Strong SQL skills for querying and manipulating data.
  • Experience with Python (Pandas, NumPy, Matplotlib or similar libraries).
  • A solid understanding of data visualisation tools like Tableau, Power BI, or Seaborn.
  • Good grasp of statistics and A/B testing.
  • The ability to explain complex data to non-technical stakeholders.

Nice to have:

  • Basic knowledge of machine learning.
  • An understanding of business intelligence and KPI tracking.

If this sounds like you (or someone you know), we’d love to chat! Apply now for a confidential discussion.

Data Scientist employer: Morgan King Technology

Morgan King Group is an exceptional employer, offering a dynamic work culture in Leeds that fosters collaboration and innovation. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in data science and analytics. Our commitment to creating high-calibre teams ensures that you will be part of a supportive environment where your contributions are valued, making this a rewarding place to advance your career.
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Contact Detail:

Morgan King Technology Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Familiarise yourself with the specific tools mentioned in the job description, like Tableau and Power BI. Consider creating a personal project or portfolio that showcases your skills in these platforms, as this will demonstrate your practical experience to potential employers.

✨Tip Number 2

Network with professionals in the data science field, especially those who work at Morgan King Group or similar companies. Attend industry meetups or webinars to connect with others and gain insights into what they look for in candidates.

✨Tip Number 3

Brush up on your SQL and Python skills, focusing on the libraries mentioned like Pandas and NumPy. You could take online courses or work on small projects that require data manipulation and analysis to solidify your understanding.

✨Tip Number 4

Prepare to discuss how you've communicated complex data insights to non-technical stakeholders in past roles. Think of specific examples where your explanations led to better decision-making, as this is a key requirement for the role.

We think you need these skills to ace Data Scientist

Data Analysis
SQL
Python (Pandas, NumPy, Matplotlib)
Data Visualisation (Tableau, Power BI, Seaborn)
Statistical Analysis
A/B Testing
Dashboard Creation
Data Cleaning
Problem-Solving Skills
Communication Skills
Stakeholder Engagement
Predictive Analytics
Trend Forecasting
Automation of Data Pipelines

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, reporting, and data science. Emphasise your SQL skills and any experience with Python libraries like Pandas and NumPy.

Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data science and how your skills align with the role. Mention specific tools you’ve used, such as Tableau or Power BI, and how you've applied them in previous roles.

Showcase Your Projects: If you have worked on any projects involving data visualisation or statistical analysis, include these in your application. Briefly describe the project, your role, and the impact it had on the business.

Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on your knowledge of SQL queries, data cleaning techniques, and statistical methods, as these may come up in discussions.

How to prepare for a job interview at Morgan King Technology

✨Showcase Your Data Skills

Be prepared to discuss your experience with SQL, Python, and data visualisation tools. Bring examples of dashboards or reports you've created, and be ready to explain the thought process behind your data analysis.

✨Understand the Business Context

Research the company and its industry. Understand how data impacts their business decisions and be ready to discuss how you can contribute to their goals using your data skills.

✨Prepare for Technical Questions

Expect questions on statistical analysis, A/B testing, and data cleaning techniques. Brush up on these topics and be ready to solve problems on the spot, as this will demonstrate your analytical thinking.

✨Communicate Clearly

Practice explaining complex data concepts in simple terms. Since you'll be working with non-technical stakeholders, showing that you can bridge the gap between data and business will set you apart.

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