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For Companies At a Glance
- Tasks: Lead impactful Data Science projects from concept to delivery, turning insights into action.
- Company: Join a global leader focused on collaboration, innovation, and high performance.
- Benefits: Enjoy hybrid work with remote flexibility and a competitive benefits package.
- Why this job: Make a real impact while working with cutting-edge Data Science and AI technologies.
- Qualifications: Strong foundation in Data Science and Machine Learning; innovative problem-solving skills required.
- Other info: Collaborate with diverse teams and communicate complex data insights effectively.
The predicted salary is between 33600 - 50400 £ per year.
Data Scientist – Up to £47,000 – Hybrid Role (One day a month in Manchester and Liverpool)
Are you a Data Scientist looking for a role where you\’ll have ownership, autonomy, and the chance to make a real impact? My client, a forward-thinking organisation, is looking for a talented professional to join their Data Insights Team , part of their wider Business Intelligence Team .
This is a fantastic opportunity to work on strategic, high-impact projects that utilise Data Science, Machine Learning, and AI to solve complex challenges and deliver actionable insights for senior leadership.
The Role
In this role, you\’ll have the freedom to:
- Lead and own projects from concept to delivery, including generating ideas for new initiatives.
- Work closely with stakeholders to turn insights into action, creating engaging reports that tell compelling stories with data.
- Collaborate with teams across the organisation, including Continuous Improvement, Research, Finance, IT Systems, and Senior Operational Leadership.
- Use advanced analytics, forecasting, and modelling techniques to evaluate business performance, measure impact, and shape decision-making.
Key responsibilities include:
- Identifying business problems and building solutions with Data Science and Machine Learning .
- Forecasting and predicting metrics using algorithms and models.
- Assessing the impact of interventions and preparing cohort performance statistics.
- Ensuring sound and robust data practices to deliver high-quality results.
What We\’re Looking For
The ideal candidate will:
- Be an innovative problem solver who\’s excited about building solutions for business challenges.
- Have strong technical skills in feature selection, model building, and synthetic data generation.
- Be able to communicate complex techniques to non-technical stakeholders effectively.
- Work collaboratively with cross-functional teams to deliver impactful solutions.
- Have a strong foundation in Data Science, with experience applying Machine Learning techniques.
What\’s on Offer?
- Very competitive benefits package
- Hybrid Working : One day a month in Manchester, one day a month in Liverpool – the rest is remote.
- The chance to make a genuine impact and take ownership of your work.
- The opportunity to work in a collaborative environment alongside Insight Analysts, Data Scientists, and Machine Learning Engineers.
About the Client
This global industry leading organisation is dedicated to creating a culture that values collaboration, innovation, and high performance. They are looking for someone who shares their passion for leveraging data to drive meaningful change.
How to Apply
If you\’re ready to take the next step in your Data Science career and work with a forward-thinking organisation, please get in touch! I\’d love to tell you more about this exciting opportunity.
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Data Scientist employer: iO Associates
Contact Detail:
iO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific data science tools and techniques mentioned in the job description, such as feature selection and model building. Highlight any relevant projects or experiences where you've successfully applied these skills.
✨Tip Number 2
Prepare to discuss how you've turned insights into action in previous roles. Think of examples where your data-driven decisions led to significant business outcomes, as this aligns with the role's focus on delivering actionable insights.
✨Tip Number 3
Showcase your ability to communicate complex data concepts to non-technical stakeholders. Practice explaining a technical project in simple terms, as this will demonstrate your communication skills during interviews.
✨Tip Number 4
Research the company’s recent projects and initiatives related to data science and machine learning. Being knowledgeable about their work will help you engage in meaningful conversations and show your genuine interest in the organization.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Science, Machine Learning, and AI. Use specific examples of projects you've led or contributed to that demonstrate your problem-solving skills and technical expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your ability to communicate complex data insights to non-technical stakeholders.
Showcase Your Technical Skills: Clearly outline your technical skills related to feature selection, model building, and synthetic data generation. Mention any relevant tools or programming languages you are proficient in, such as Python or R.
Prepare for Interviews: Be ready to discuss your previous projects in detail, especially those that involved collaboration with cross-functional teams. Prepare to explain your approach to solving business problems using data science techniques.
How to prepare for a job interview at iO Associates
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex business challenges using Data Science and Machine Learning. Highlight your innovative approaches and the impact of your solutions.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining your technical skills in a way that is accessible to those without a data background. Use storytelling techniques to make your insights engaging and relatable.
✨Demonstrate Collaboration Experience
Share examples of how you've worked with cross-functional teams. Emphasize your ability to collaborate effectively with stakeholders from different departments to drive impactful solutions.
✨Prepare for Technical Questions
Brush up on your knowledge of feature selection, model building, and synthetic data generation. Be ready to discuss your technical expertise and how it applies to the role you're interviewing for.
