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- Tasks: Support diverse client projects through end-to-end analytics delivery and communicate insights.
- Company: Forward-thinking analytics firm based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Tackle real-world challenges and drive impactful decision-making with your data skills.
- Qualifications: Strong experience in data science, proficiency in Python or R, and knowledge of statistical methods.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 36000 - 60000 £ per year.
A forward-thinking analytics firm in Greater London is seeking a Data Scientist to support diverse client projects through end-to-end analytics delivery. The ideal candidate will have strong experience in data science and analytics, proficiency in Python or R, and a robust understanding of statistical methods and machine learning techniques.
Responsibilities include:
- Collaborating with teams
- Communicating insights
- Contributing to internal innovations
This role offers the opportunity to tackle real-world challenges and drive impactful decision-making.
Data Scientist: Strategy, Analytics & Innovation in London employer: ENI – Elizabeth Norman International
Contact Detail:
ENI – Elizabeth Norman International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Strategy, Analytics & Innovation in London
✨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 connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python or R. We all know that actions speak louder than words, so let your work do the talking.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical methods and machine learning techniques. We recommend practicing common interview questions and even doing mock interviews with friends to build confidence.
✨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: Strategy, Analytics & Innovation in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data science and analytics. We want to see your proficiency in Python or R, so don’t hold back on showcasing your technical skills!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with the responsibilities of collaborating with teams and communicating insights. We love seeing candidates who understand our needs!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and potential contributions.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at ENI – Elizabeth Norman International
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python or R. Be ready to discuss your experience with statistical methods and machine learning techniques, as these will likely come up during the interview.
✨Showcase Your Project Experience
Prepare to talk about specific projects you've worked on that demonstrate your end-to-end analytics delivery skills. Highlight how you collaborated with teams and the impact your insights had on decision-making.
✨Communicate Clearly
Since this role involves communicating insights, practice explaining complex concepts in simple terms. Think about how you would present your findings to a non-technical audience, as this could be a key part of the interview.
✨Be Innovative
This firm values innovation, so come prepared with ideas on how you can contribute to internal innovations. Think about trends in analytics and how they could apply to the company’s projects, showing that you're forward-thinking.
