At a Glance
- Tasks: Shape the future of data and AI consulting, focusing on customer experience.
- Company: Join frog, part of Capgemini Invent, known for innovation and collaboration.
- Benefits: Flexible work culture, inclusive environment, and opportunities for personal growth.
- Other info: Be part of a vibrant community that values humour and positivity.
- Why this job: Make a real impact by unlocking the power of data for brands.
- Qualifications: Experience in data science and a passion for customer-centric solutions.
The predicted salary is between 49500 - 60500 £ per year.
Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology.
We’re inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications.
Joining frog means you’ll be joining the “pond,” a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table.
We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes.
Our culture is open, flexible, inclusive, and engaging.
Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community—and the world at large. frog Data Join our frog data team and help shape the future of data and AI consulting.
We help brands unlock the value and power of data and AI – through the lense of customer experience.
You’ll work at the intersection our solutions focus on CX Data and AI, strategy, activation CPR (Consumer Products
Frog - Consultant/Senior Consultant - Data Science (Customer Data) employer: Frog
The Frog pub in Hampshire is an excellent employer, offering a vibrant and supportive work culture where culinary talent can thrive. With competitive pay, generous meal discounts, and the opportunity for professional growth through an apprenticeship programme, we ensure our team members feel valued and empowered in their roles. The option for live-in accommodation makes it an ideal choice for those looking to immerse themselves in a rewarding hospitality career in a picturesque location.
StudySmarter Expert Advice🤫
We think this is how you could land Frog - Consultant/Senior Consultant - Data Science (Customer Data)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Frog!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Frog - Consultant/Senior Consultant - Data Science (Customer Data) at Frog.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Frog.
✨Apply Directly through Our Website
When you find a suitable opening like Frog - Consultant/Senior Consultant - Data Science (Customer Data) at Frog, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Frog - Consultant/Senior Consultant - Data Science (Customer Data)
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 Frog, 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 Frog. 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 Frog
✨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 Frog!
✨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.
