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For Companies At a Glance
- Tasks: Develop advanced data science techniques and present insights to non-technical audiences.
- Company: Join a dynamic team in Central London focused on innovative data solutions.
- Benefits: Enjoy a hybrid work model and competitive salary ranging from £45,000 to £65,000.
- Why this job: Make a real impact by solving business challenges and mentoring junior talent.
- Qualifications: 3-5 years of experience in data analysis with proficiency in R or Python required.
- Other info: Bonus skills include familiarity with machine learning and survey analytics.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist
Location: Central London 2x (Hybrid)
Salary: £45,000 – 65,000
About the Role
As a Data Scientist, you will:
- Develop and execute advanced data science techniques to solve real-world problems.
- Present data-driven insights to non-technical audiences clearly and effectively.
- Lead analytics projects and align solutions with business challenges.
- Mentor junior team members and contribute to the development of methodologies.
- Research and explore new opportunities for data science applications.
What You’ll Need
- Experience: 3-5 years in data analysis, particularly in market research or survey data.
- Technical Skills: Proficiency in R or Python, conjoint analysis (e.g., Sawtooth), segmentation techniques, clustering, and regression.
- Communication: Ability to translate complex concepts into simple, clear insights.
- Leadership: Experience managing projects and supporting team growth.
Bonus Skills (Nice-to-Haves)
- Familiarity with Bayesian methods, machine learning, or text analytics.
- Experience with survey analytics, such as MaxDiff or Key Drivers Analysis.
- Knowledge of organisational or financial analytics.
- VBA programming and Excel-based simulator development.
Data Scientist 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
✨Tip Number 1
Make sure to showcase your experience in data analysis, especially if you have worked with market research or survey data. Highlight specific projects where you've applied advanced data science techniques to solve real-world problems.
✨Tip Number 2
Demonstrate your proficiency in R or Python by discussing relevant projects or tools you've developed. If you have experience with conjoint analysis or segmentation techniques, be ready to share examples of how you've used these skills effectively.
✨Tip Number 3
Prepare to explain complex data concepts in simple terms. Practice presenting your insights to non-technical audiences, as this will be crucial in your role. Consider using storytelling techniques to make your data-driven insights more relatable.
✨Tip Number 4
If you have leadership experience, be sure to highlight it. Discuss how you've managed analytics projects and supported the growth of junior team members. This will show us that you're not just a great data scientist, but also a valuable team player.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, especially in market research or survey data. Emphasize your proficiency in R or Python and any relevant projects you've led.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate how your skills align with the role. Mention specific techniques you’ve used, such as conjoint analysis or clustering, and how they relate to solving business challenges.
Showcase Communication Skills: Demonstrate your ability to present complex data insights in a simple manner. Include examples of past experiences where you successfully communicated findings to non-technical audiences.
Highlight Leadership Experience: If you have experience managing projects or mentoring junior team members, make sure to include this in your application. Discuss how you contributed to team growth and project success.
How to prepare for a job interview at ENI – Elizabeth Norman International
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in R or Python. Bring examples of past projects where you applied advanced data science techniques, especially in market research or survey data.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You may be asked to present insights to non-technical audiences, so clarity and simplicity are key.
✨Demonstrate Leadership Experience
Share specific examples of how you've led analytics projects or mentored junior team members. Highlight your ability to align solutions with business challenges.
✨Research the Company’s Data Needs
Before the interview, familiarize yourself with the company’s current data challenges and think about how your skills can address them. This shows initiative and a genuine interest in the role.
