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- Tasks: Analyse behavioural data and explore multimodal datasets for AI research.
- Company: Harvey Nash, a leading tech recruitment firm in Manchester.
- Benefits: Flexible contract work with opportunities to enhance your data science skills.
- Other info: Join a dynamic team and boost your career in the fast-evolving field of AI.
- Why this job: Dive into exciting AI projects and make a real impact with your data expertise.
- Qualifications: Experience in statistical analysis, Python, and time series data is essential.
The predicted salary is between 40000 - 50000 £ per year.
Harvey Nash is seeking a contract Data Scientist located in Manchester to analyse behavioural data. The role focuses on exploring multimodal datasets and contributing to AI research, including statistical analysis, advanced Python skills, and effective communication of findings.
The ideal candidate has experience with time series data and a proven ability in exploratory data analysis.
If interested, please share your CV with Dean Sadler-Parkes.
Contract Data Scientist — Behavioral Analytics & AI in Manchester employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Scientist — Behavioral Analytics & AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Harvey Nash or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with behavioural data and time series analysis. This will help you stand out during interviews and demonstrate your expertise in a practical way.
✨Tip Number 3
Practice your communication skills! Being able to explain complex data findings in simple terms is crucial. Try explaining your past projects to friends or family to refine your pitch.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to submit your CV directly, and it shows you’re serious about the role. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Contract Data Scientist — Behavioral Analytics & AI in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with behavioural data and time series analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Show Off Your Python Skills: Since advanced Python skills are a must, include specific examples of how you've used Python in your previous work. We love seeing practical applications, so feel free to mention any libraries or frameworks you’re comfortable with.
Communicate Clearly: Effective communication is key! When writing your application, make sure to explain your findings and methodologies clearly. We appreciate candidates who can convey complex ideas in a straightforward manner.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving behavioural data and time series analysis. Be ready to discuss specific datasets you've worked with, the challenges you faced, and how you overcame them. This will show your expertise and passion for the field.
✨Show Off Your Python Skills
Brush up on your advanced Python skills, especially libraries like Pandas, NumPy, and Scikit-learn. Prepare to discuss how you've used these tools in your previous roles to analyse data and contribute to AI research. Maybe even bring a small code snippet or example project to demonstrate your capabilities.
✨Communicate Clearly and Effectively
Since effective communication of findings is key, practice explaining complex concepts in simple terms. Think about how you would present your analysis to someone without a technical background. This will highlight your ability to bridge the gap between data science and business needs.
✨Prepare Questions About the Role
Have a few thoughtful questions ready about the company's approach to behavioural analytics and AI. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Ask about the types of datasets they work with and their current projects in AI research.