Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create predictive models that drive key business decisions in finance, operations, and sales.
- Company: Join a forward-thinking company focused on data-driven strategies.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Enjoy a dynamic role with full ownership of model design.
- Why this job: Make a real impact by shaping strategies that influence revenue and customer behaviour.
- Qualifications: Experience in data science and machine learning is essential.
The predicted salary is between 50000 - 70000 £ per year.
Are you ready to turn advanced machine learning into real business impact? Our client is seeking a high-performing Data Scientist to craft cutting-edge predictive models that influence key decisions across finance, operations, and sales. This is a rare opportunity to take full ownership of model design—shaping the strategy behind revenue forecasting, margin optimization, and customer behavior trends—without distractions from data infrastructure or platform development.
Benefits:
Data Scientist employer: ITAC Solutions
Contact Detail:
ITAC Solutions 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 current or former employees in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and projects. This is your chance to demonstrate how you can turn machine learning into real business impact.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding the business side of things. Be ready to discuss how your work can influence finance, operations, and sales.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that could be perfect for you, and applying directly can sometimes give you an edge.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with machine learning and predictive modelling. We want to see how you've turned data into actionable insights in the past!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that align with the Data Scientist role. We love seeing candidates who take this extra step!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and how they relate to the job description.
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed. We’re excited to see your application and can’t wait to learn more about how you can contribute to our team!
How to prepare for a job interview at ITAC Solutions
✨Know Your Models
Make sure you can discuss the predictive models you've worked on in detail. Be ready to explain your approach to model design, including the algorithms you prefer and why. This shows that you not only understand the theory but can also apply it effectively.
✨Business Impact Focus
Prepare to talk about how your work as a Data Scientist has influenced business decisions in the past. Think of specific examples where your models have driven revenue forecasting or optimised margins. This will demonstrate your ability to turn data into actionable insights.
✨Ask Insightful Questions
During the interview, don’t hesitate to ask questions about the company’s current data strategies and challenges. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
✨Brush Up on Technical Skills
Be prepared for technical questions or even a coding challenge. Review key concepts in machine learning and data analysis, and practice coding problems relevant to the role. This will help you feel confident and ready to tackle any technical discussions.