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- Tasks: Develop machine learning models and manage data pipelines for decision support.
- Company: Leading technology firm in Waterside, UK, known for innovation.
- Benefits: Competitive compensation and opportunities for professional growth.
- Why this job: Make a real impact by enhancing decision-making with cutting-edge data science.
- Qualifications: Master's degree in data science and strong Python skills required.
- Other info: Collaborative environment with industry professionals.
The predicted salary is between 28800 - 48000 £ per year.
A leading technology firm in Waterside, UK, seeks an experienced Data Scientist to develop machine learning models and manage data pipelines. The role requires a master's degree in data science and a strong proficiency in Python, along with relevant industry experience.
Responsibilities include:
- Conducting analyses to enhance decision support
- Implementing robust data cleaning pipelines
- Collaborating with business stakeholders to ensure product alignment
This position offers competitive compensation and opportunities for professional growth.
Data Scientist: ML & Optimization for Decision-Support employer: Coforge
Contact Detail:
Coforge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: ML & Optimization for Decision-Support
✨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 machine learning projects and data analyses. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in data science. We recommend practising common interview questions and even doing mock interviews with friends.
✨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 Data Scientist: ML & Optimization for Decision-Support
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex problems using data. We’re looking for someone who can enhance decision support, so demonstrate your analytical thinking and creativity!
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 role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Coforge
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss specific algorithms you've used and how they impacted decision-making in previous roles. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Prepare to talk about your past projects, especially those involving data pipelines and analyses. Highlight any challenges you faced and how you overcame them. This gives the interviewers insight into your problem-solving abilities and technical expertise.
✨Understand the Business
Research the company and its products thoroughly. Understand how your role as a Data Scientist fits into their overall strategy. Being able to discuss how your work can enhance decision support for their business will impress the interviewers.
✨Ask Smart Questions
Prepare thoughtful questions about the team dynamics, current projects, and future goals of the company. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
