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For Companies At a Glance
- Tasks: Support analytics delivery and apply machine learning to uncover insights.
- Company: Dynamic company at the forefront of strategy and innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by solving real-world problems with data.
- Qualifications: Experience in data science and proficiency in Python or R.
- Other info: Join a collaborative team and contribute to innovative projects.
The predicted salary is between 39000 - 52000 £ per year.
We’re hiring a Data Scientist to join a growing team working at the intersection of strategy, analytics, and innovation. This is a great opportunity for someone who’s curious, technically sharp, and enjoys solving real-world problems with data. You’ll play a key role in delivering high-impact analytics projects across a variety of industries helping shape decision-making through smart insights and modelling.
What you’ll be doing:
- Supporting end-to-end analytics delivery across diverse client projects
- Applying statistical methods and machine learning to uncover insights
- Communicating findings in a simple, impactful way to stakeholders
- Collaborating closely with cross-functional teams
- Contributing to internal innovation, tools, and ways of working
What you’ll bring:
- Solid experience in data science, analytics, or a related field
- Proficiency in Python, R or other modern data tools
- Strong grasp of machine learning and statistical techniques
- Ability to explain complex ideas clearly to different audiences
- A problem-solving mindset and attention to detail
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
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving machine learning and analytics. This is your chance to demonstrate your problem-solving mindset and technical prowess to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as this will be crucial when discussing your findings with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for curious minds who can contribute to our innovative projects. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your proficiency in Python, R, and any machine learning projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your problem-solving mindset aligns with our mission at StudySmarter. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've got any relevant projects or case studies, don’t hesitate to include them! Whether it's a personal project or something from your previous job, showing us your hands-on experience with analytics will definitely catch our eye.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you get the best experience possible. Plus, it shows you're keen to join our team!
How to prepare for a job interview at ENI – Elizabeth Norman International
✨Know Your Data Tools
Make sure you brush up on your skills with Python, R, or any other data tools mentioned in the job description. Be ready to discuss specific projects where you've applied these tools, as this will show your technical prowess and hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world problems using data science techniques. Think about the challenges you faced, the methods you used, and the impact of your solutions. This will demonstrate your analytical mindset and ability to deliver results.
✨Communicate Clearly
Since you'll need to explain complex ideas to various stakeholders, practice simplifying your findings. Use clear, concise language and be ready to adapt your explanations based on your audience's level of understanding. This skill is crucial for making a strong impression.
✨Collaborate and Innovate
Highlight your experience working in cross-functional teams and contributing to innovative projects. Be prepared to discuss how you’ve collaborated with others to drive analytics initiatives forward, as teamwork is key in this role.
