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- Tasks: Analyse big data using NLP and machine learning to drive insights.
- Company: International organisation based near Manchester with a focus on innovation.
- Benefits: Competitive salary of £75K - £85K plus additional benefits.
- Why this job: Join a leading team and make an impact in the world of big data.
- Qualifications: 7-10 years experience in data science, NLP, and programming languages.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 75000 - 85000 £ per year.
An international organization is seeking a Big Data Scientist based near Manchester. The role requires 7 to 10 years of expertise, particularly in Natural Language Processing, scalable data mining, and machine learning techniques.
Successful candidates will have experience with languages like C++, Java, and Python, as well as familiarity with Hadoop and its ecosystem.
The position offers a salary of circa £75K - £85K plus benefits.
Please send your CV in Word format along with salary and availability details.
Senior Big Data Scientist - NLP, ML & Distributed Systems in Manchester employer: Nexus
Contact Detail:
Nexus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Big Data Scientist - NLP, ML & Distributed Systems in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with NLP or Big Data. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in machine learning and distributed systems. This is your chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with C++, Java, Python, and Hadoop. We want you to feel confident when tackling those tricky questions!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Big Data Scientist - NLP, ML & Distributed Systems in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Natural Language Processing, machine learning, and distributed systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Technical Skills: Since we’re looking for expertise in languages like C++, Java, and Python, make sure to list these prominently. If you’ve worked with Hadoop or similar technologies, give us the details – we love seeing that hands-on experience!
Be Clear About Your Availability: When you send your application, include a brief note about when you can start. This helps us plan ahead and shows that you’re organised. We appreciate clarity!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Nexus
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Natural Language Processing, machine learning techniques, and distributed systems. Be ready to discuss specific projects where you've applied these skills, especially using languages like C++, Java, and Python.
✨Familiarise Yourself with Hadoop
Since the role requires familiarity with Hadoop and its ecosystem, take some time to review how you've used it in past projects. Be prepared to explain how you’ve leveraged Hadoop for scalable data mining and any challenges you faced.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding problems or case studies related to big data and machine learning. This will help you demonstrate your analytical skills and thought process during the interview.
✨Showcase Your Soft Skills
While technical skills are crucial, don’t forget to highlight your communication and teamwork abilities. Discuss how you've collaborated with cross-functional teams and how you can contribute to a positive work environment.
