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- Tasks: Create predictive models and algorithms to drive data-driven applications.
- Company: Dynamic tech consultancy firm in the UK with a collaborative spirit.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team making a real impact through innovative software solutions.
- Qualifications: Strong maths/statistics background and experience in Python and R.
- Other info: Commuting to the office 3-4 days a week for team collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A tech consultancy firm in the United Kingdom is looking for a Data Scientist to develop sophisticated algorithms and predictive models. The ideal candidate will have a strong mathematical and statistical background, experience in Python and R, and the ability to integrate models into software applications. This role requires commuting to the office 3-4 days a week as per the hybrid policy. Join a collaborative team to create impactful software solutions.
Data Scientist: Predictive ML & Data-Driven Apps in England employer: JAM IT Consultancy Ltd
Contact Detail:
JAM IT Consultancy Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Predictive ML & Data-Driven Apps in England
✨Tip Number 1
Network like a pro! Reach out to current employees at the tech consultancy firm on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and algorithms. We want to demonstrate our expertise in Python and R, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your mathematical and statistical knowledge. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to highlight how we fit the role perfectly.
We think you need these skills to ace Data Scientist: Predictive ML & Data-Driven Apps in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your mathematical and statistical background in your application. We want to see how your experience with Python and R can help us develop those sophisticated algorithms!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the Data Scientist role by mentioning specific projects or experiences that relate to predictive modelling and software integration. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at JAM IT Consultancy Ltd
✨Brush Up on Your Maths and Stats
Make sure you’re comfortable with the mathematical concepts and statistical methods relevant to predictive modelling. Review key algorithms and be ready to discuss how you’ve applied them in past projects.
✨Show Off Your Coding Skills
Since Python and R are crucial for this role, practice coding challenges beforehand. Be prepared to demonstrate your coding skills during the interview, whether through a live coding session or by discussing your previous work.
✨Understand the Business Context
Research the tech consultancy firm and understand their business model. Think about how your data-driven solutions can create value for their clients and be ready to share ideas on potential applications of predictive models.
✨Prepare for Collaboration Questions
As this role involves working in a team, be ready to discuss your experience collaborating with others. Think of examples where you’ve successfully worked in a team to solve problems or develop software solutions.
