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- Tasks: Develop predictive models and generate insights from large datasets.
- Company: Dynamic data-driven organisation based in Glasgow with a hybrid work culture.
- Benefits: Enjoy a competitive salary, bonuses, private healthcare, and flexible working hours.
- Other info: Exciting opportunities for learning and professional development in a collaborative environment.
- Why this job: Join a team that leverages advanced analytics to drive innovation and make impactful decisions.
- Qualifications: Degree in Data Science or related field, strong programming skills in Python or R.
The predicted salary is between 45000 - 70000 £ per year.
We are a data-driven organisation leveraging advanced analytics and machine learning to drive business insights and innovation. As part of our continued growth, we are looking to expand our analytics capability with the addition of a Data Scientist.
We are looking to hire a Data Scientist to develop predictive models, generate insights, and support data-driven decision-making from our Glasgow office on a hybrid basis.
The Data Scientist will ideally have the following attributes:
- Strong experience in data science, machine learning, or statistical analysis
- A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Computer Science or similar
- Strong programming skills in Python or R
- Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch
- Experience working with large and complex datasets
- Strong knowledge of statistics and data analysis techniques
- Experience with SQL and working with databases
- Experience with data visualisation tools such as Power BI, Tableau, or similar
- Ability to communicate complex findings to non-technical stakeholders
- Ability to work independently and as part of a team
- Excellent communication skills (both verbal and written)
- A curious mindset with a passion for data and problem solving
The Data Scientist role will involve:
- Developing and deploying machine learning and statistical models
- Analysing large datasets to generate actionable insights
- Working with stakeholders to understand business problems and translate them into data solutions
- Preparing and cleaning data for analysis and modelling
- Visualising and presenting findings to technical and non-technical audiences
- Collaborating with data engineers and analysts on data-driven projects
If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.
Data Scientist in Paisley employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Contact Detail:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Paisley
✨Network Like a Pro
Get out there and connect with people in the data science field! Attend meetups, webinars, or even local events. You never know who might have a lead on your dream job or can give you insider tips.
✨Show Off Your Skills
Create a portfolio showcasing your projects and skills in Python, R, and machine learning. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do beyond just a CV.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to explain your thought process and how you tackle problems. Remember, they want to see how you think, not just what you know!
✨Apply Through Us!
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Scientist in Paisley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data science, machine learning, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t just list your programming skills in Python or R; give examples of how you've used them in real-world scenarios. Mention any machine learning libraries you’ve worked with and how they contributed to your projects. This helps us see your practical experience!
Communicate Clearly: Since you'll be presenting findings to both technical and non-technical audiences, make sure your application reflects your communication skills. Use clear language and avoid jargon where possible. We appreciate clarity and conciseness!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. Make sure to include your availability and salary expectations in your application. We can’t wait to hear from you!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with machine learning, statistical analysis, and programming in Python or R. Prepare examples of projects where you've developed predictive models or worked with large datasets.
✨Show Off Your Communication Skills
Since you'll need to explain complex findings to non-technical stakeholders, practice how you can simplify your insights. Think of a few examples where you've successfully communicated technical concepts in an easy-to-understand way.
✨Get Familiar with the Tools
Be prepared to talk about your experience with machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, as well as data visualisation tools like Power BI or Tableau. If possible, bring along a portfolio or examples of your work using these tools.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data-driven initiatives, team dynamics, and how they leverage analytics for decision-making. This shows your genuine interest in the role and helps you assess if it's the right fit for you.