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- Tasks: Tackle real-world challenges in machine learning and big data at scale.
- Company: Techwaka, a forward-thinking company based in Manchester.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Why this job: Join us to innovate and enhance systems using the power of data.
- Qualifications: Significant experience and a strong educational background in quantitative fields.
- Other info: Dynamic work environment with exciting challenges and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
Techwaka is seeking data scientists in Manchester to tackle real-world challenges in machine learning and big data. You will work on dynamic pricing, making predictions, and personalizing customer experiences using state-of-the-art technology.
Candidates should have significant experience and a solid educational background in quantitative fields. Join us to innovate and improve systems with the power of data.
Lead Data Scientist: Real-Time ML & Big Data at Scale in Manchester employer: Techwaka
Contact Detail:
Techwaka Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist: Real-Time ML & Big Data at Scale in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and big data. This is your chance to demonstrate your expertise and creativity to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common data science interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Scientist: Real-Time ML & Big Data at Scale in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and big data. We want to see how you've tackled real-world challenges, so don’t hold back on those specific projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our mission at Techwaka. Let us know what excites you about the role!
Showcase Your Skills: Include any relevant technical skills or tools you’ve mastered, especially those related to dynamic pricing and customer personalisation. We love seeing candidates who are up-to-date with state-of-the-art technology!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the Lead Data Scientist position. Don’t miss out!
How to prepare for a job interview at Techwaka
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to machine learning and big data. Be prepared to discuss algorithms, data structures, and statistical methods that are relevant to dynamic pricing and customer experience personalisation.
✨Showcase Real-World Applications
Come armed with examples of how you've tackled real-world challenges in your previous roles. Discuss specific projects where you applied machine learning techniques to solve problems, particularly in areas like pricing strategies or customer insights.
✨Familiarise Yourself with Techwaka's Work
Research Techwaka’s current projects and technologies they use. Understanding their approach to data science will help you tailor your answers and demonstrate your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills. Practice coding challenges or case studies related to real-time ML applications. Being able to think aloud while solving these problems can impress your interviewers.
