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- Tasks: Explore complex datasets to solve real business problems using advanced modelling techniques.
- Company: Join Datatech, a forward-thinking company in the heart of London.
- Benefits: Hybrid work model, competitive salary up to £69,000 pro rata, and professional development opportunities.
- Other info: 6-month Fixed Term Contract with a dynamic team environment.
- Why this job: Make a real impact by leveraging data to drive business intelligence.
- Qualifications: Strong Python and SQL skills, plus experience in stakeholder engagement.
The predicted salary is between 69000 - 69000 £ per year.
Datatech is looking for a Data Scientist for a 6-month Fixed Term Contract in London. The role emphasizes modelling and intelligence, exploring complex datasets to solve real business problems.
Ideal candidates will have:
- Strong Python and SQL skills
- Advanced modelling capabilities
- Experience with stakeholder engagement
The position offers a hybrid work model, requiring 3 days in the office and 2 days from home, with a salary up to £69,000 pro rata depending on experience.
Data Scientist: Modelling & Intelligence (Hybrid London) employer: Datatech
Contact Detail:
Datatech 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 current or former employees at Datatech on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. We should be ready to showcase our modelling capabilities with real examples from past projects. Practice makes perfect!
✨Tip Number 3
Don’t underestimate the power of stakeholder engagement. Think of ways we’ve successfully communicated complex data insights in the past. Being able to articulate this will set us apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our submission to highlight our strengths in modelling and intelligence, making it more relevant to the role.
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’ve used these tools to tackle complex datasets and solve real business problems.
Engage with Stakeholders: Don’t forget to mention any experience you have with stakeholder engagement. We love candidates who can communicate effectively and work collaboratively with others.
Tailor Your Application: Take the time to tailor your application to the role. Use the job description as a guide to showcase how your experience aligns with what we’re looking for at Datatech.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Datatech
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you might encounter in the role. Brush up on your Python and SQL skills, and be ready to discuss how you've used them to solve complex problems in the past.
✨Showcase Your Modelling Skills
Prepare to talk about specific modelling techniques you've employed. Bring examples of projects where your modelling made a significant impact, and be ready to explain your thought process and the outcomes.
✨Engage with Stakeholders
Since stakeholder engagement is key, think of instances where you've successfully communicated complex data insights to non-technical audiences. Practice explaining your work in simple terms to demonstrate your ability to bridge the gap between data and business needs.
✨Embrace the Hybrid Work Model
Familiarise yourself with the hybrid work model and be prepared to discuss how you manage your time and productivity when working both in the office and remotely. Highlight any previous experience you have with this setup to show you're adaptable.