Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Model data to drive impactful business decisions and collaborate with diverse teams.
- Company: Join Datatech Analytics, a forward-thinking company in the heart of London.
- Benefits: Competitive salary up to £69,000 pro rata and hybrid work flexibility.
- Other info: Exciting 6-month contract with opportunities for professional growth.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: Strong Python and SQL skills, plus experience with complex datasets.
The predicted salary is between 69000 - 69000 £ per year.
Datatech Analytics is seeking a Data Scientist to work in London on a 6-month hybrid contract. This role focuses on modelling data to drive business decisions rather than merely reporting.
The ideal candidate will have:
- Strong Python and SQL skills
- Advanced modelling capabilities
- Experience with complex datasets
Communication with non-technical stakeholders is essential, alongside relevant qualifications in a quantitative field.
The salary is competitive, up to £69,000 pro rata based on experience.
Data Scientist - Modelling & Intelligence (Hybrid London) employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Modelling & Intelligence (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling projects and any complex datasets you've worked with. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Practice your communication skills! Since you'll be working with non-technical stakeholders, it's crucial to explain your findings in simple terms. Try explaining your past projects to friends or family to hone this skill.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team at Datatech Analytics.
We think you need these skills to ace Data Scientist - Modelling & Intelligence (Hybrid London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you can use these tools to model data effectively, so don’t hold back on showcasing your experience with complex datasets!
Communicate Clearly: Since you'll be working with non-technical stakeholders, it's crucial to demonstrate your ability to communicate complex ideas simply. Use your application to show us how you can bridge the gap between technical jargon and everyday language.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Data Scientist role. Mention relevant projects or experiences that align with our focus on modelling data to drive business decisions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity in London!
How to prepare for a job interview at Datatech Analytics
✨Know Your Modelling Techniques
Brush up on your modelling skills before the interview. Be ready to discuss specific techniques you've used in past projects, especially those that drove business decisions. This will show your practical experience and understanding of how data can influence outcomes.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a problem or explain how you would approach a dataset. Practising coding challenges or discussing past projects where you utilised these languages can really set you apart.
✨Communicate Clearly with Non-Technical Stakeholders
Since communication is key, think about examples where you've successfully explained complex data concepts to non-technical audiences. Practice simplifying your explanations without losing the essence of the data, as this will highlight your ability to bridge the gap between technical and non-technical teams.
✨Research Datatech Analytics
Familiarise yourself with Datatech Analytics and their business model. Understanding their goals and challenges will allow you to tailor your responses and demonstrate how your skills can directly contribute to their success. It shows genuine interest and preparation, which interviewers love!