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- Tasks: Implement data and machine learning methods to enhance algorithm performance.
- Company: Pioneering business in data-driven technologies for Water and Oil & Gas industries.
- Benefits: Flexible working arrangements, competitive salary, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact with cutting-edge data solutions.
- Qualifications: Experience with large data sets; backgrounds in Physics, Mathematics, or Data Science.
- Other info: Open to all experience levels, from senior data scientists to recent graduates.
The predicted salary is between 36000 - 60000 £ per year.
Yoh have partnered with a growing business who we have aided in creating their Data & Machine Learning team internally. As a business they are pioneering and leading a data-driven technologies business approach using sensor & signal detection with most of their work coming from clientele within the Water and Oil & Gas industry.
Location: Widnes (originally 4 days a week onsite - potential flexibility as time served)
Sponsorship: They are unable to provide sponsorship at this time.
Responsibilities:
- Implement data and machine learning based methods for training and validating results.
- Apply signal processing techniques in accordance with improving algorithm performance.
- Research old and new techniques for signal processing and machine learning algorithms to identify training and deployment techniques.
They have at least 2 open vacancies and are open to all experiences and abilities from senior commercial data scientists to PhD graduates looking for their first position in industry.
Qualifications / Experience:
- Numeric-focused with experience working with large data sets (e.g., isolating certain "noise").
- Backgrounds in Physics, Mathematics or Data Science, in commercial or academic settings.
Seniority: Mid-Senior level
Employment type: Full-time
Industries: IT System Data Services
Senior Data Scientist in Widnes employer: Yoh, A Day & Zimmermann Company
Contact Detail:
Yoh, A Day & Zimmermann Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Widnes
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data science or related fields. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving signal processing or machine learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data science and machine learning. Practice explaining your thought process clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Scientist in Widnes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with data sets, signal processing, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 your background in Physics or Mathematics makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects: If you've worked on any projects that involve machine learning or signal processing, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Yoh, A Day & Zimmermann Company
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you’ll be working with. Brush up on your experience with large datasets and signal processing techniques. Be ready to discuss specific examples where you've isolated noise or improved algorithm performance.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in the past. Think of scenarios where you applied machine learning methods or researched new techniques. This will demonstrate your ability to innovate and adapt, which is crucial for a Senior Data Scientist role.
✨Stay Current with Industry Trends
Research the latest advancements in data science and machine learning, especially those relevant to the Water and Oil & Gas industries. Being able to discuss recent developments shows your passion for the field and your commitment to continuous learning.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data-driven approach and their current projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals. It’s a two-way street, after all!
