At a Glance
- Tasks: Design and implement analytical prototypes for diverse clients across industries.
- Company: Join Oliver Wyman, a leading consultancy with a focus on data and analytics.
- Benefits: Enjoy hybrid work, travel opportunities, and a supportive team environment.
- Other info: Collaborative culture with opportunities for professional growth and development.
- Why this job: Make a real impact by delivering tailored analytics solutions from day one.
- Qualifications: STEM PhD/masters, strong numerical skills, and proficiency in Python or R.
The predicted salary is between 63000 - 77000 £ per year.
Oliver Wyman is seeking a data & analytics specialist to join its DNA team, delivering tailored analytics solutions for clients across industries.
You will collaborate from day one with colleagues and clients to design and implement analytical prototypes and evaluate their effectiveness.
Ideal candidates hold a STEM Ph D/masters, with a data-driven mindset, strong numerical skills, and proficiency in Python or R.
Global Data & Analytics Consultant — Hybrid & Travel Roles in Newcastle upon Tyne employer: Marsh
Marsh is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation thrives and employees are empowered to make impactful contributions. With a strong focus on professional development, team members have access to numerous growth opportunities while working in a hybrid environment that balances flexibility with in-person collaboration across various UK locations. Joining Marsh means being part of a forward-thinking team dedicated to delivering cutting-edge AI solutions in a supportive and inclusive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Global Data & Analytics Consultant — Hybrid & Travel Roles in Newcastle upon Tyne
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Global Data & Analytics Consultant — Hybrid & Travel Roles in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Marsh, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Marsh. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Marsh
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Marsh!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
