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- Tasks: Develop predictive models and generate insights to drive data-driven decisions.
- 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: Collaborative environment with opportunities for learning and professional growth.
- Why this job: Join a team that leverages advanced analytics and machine learning for real-world impact.
- Qualifications: Degree in Data Science or related field, strong programming skills in Python or R.
The predicted salary is between 45000 - 70000 £ per year.
LOCATION- Glasgow (Hybrid)
TERM- Permanent
SALARY- £45,000 to £70,000 per annum
BENEFITS – Bonus, Pension, Private Healthcare, Hybrid Working, Flexi-time, Learning & Development Budget etc.
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 Milton 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 Milton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Use GitHub to share your code and visualisations. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially when discussing complex models or analyses.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in Milton
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 need to explain complex findings to non-technical stakeholders, 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 the programming languages mentioned in the job description, like Python or R. Prepare to share specific examples of projects you've worked on that showcase your skills.
✨Show Off Your Problem-Solving Skills
During the interview, be prepared to tackle some real-world problems. Think about how you would approach a business challenge using data. This could involve discussing how you would develop predictive models or generate insights from large datasets. Show them your thought process!
✨Communicate Like a Pro
Since you'll need to explain complex findings to non-technical stakeholders, practice simplifying your explanations. Use clear, straightforward language and avoid jargon. You might even want to prepare a few examples of how you've successfully communicated data insights in the past.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s data strategy or the tools they use. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to demonstrate your curiosity and passion for data!