At a Glance
- Tasks: Transform complex data into engaging insights for consumers and support product development.
- Company: Fast-growing travel tech company revolutionising how we book flights.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting environment with access to massive data sets and innovative projects.
- Why this job: Join a dynamic team and make a real impact in the travel industry with big data.
- Qualifications: Degree in a quantitative field and strong analytical skills required.
The predicted salary is between 50000 - 70000 £ per year.
We are a new kind of travel company that uses big data to empower travelers. Our app for iOS and Android analyses trillions of past and current trips to predict when you should fly and buy. The app notifies you when fares drop so you can book flights at just the right moment. We are among the fastest growing travel apps ever, with over 15 million installs since it was launched in 2015.
We’re looking for a data-savvy individual to join our team as a data scientist, to create consumer-focused research content and support user-centric product development and growth based on our real-time feed of billions of flight search results along with an archive of several trillion data points. You may be a great fit for our team if you are excited about exploring huge (and sometimes messy) data sets and finding effective ways to simplify and communicate the results to a non-technical audience.
In this role you will:
- Transform complex analyses into short, compelling, and easy to understand studies to share with journalists aimed at a consumer audience.
- Frame and conduct complex analyses and experiments using tremendously large (e.g. 10^6 to 10^10 records), complex (not always well-structured, highly variable) data sets.
- Design and implement ad hoc and automated analysis scripts, design and deliver appropriate summary tables, charts and interactive tools to present your results.
REQUIRED
A qualified candidate has:
- A degree in Math, Statistics, Computer Science, Engineering or other quantitative discipline.
- Extremely strong analytical and problem-solving skills.
- Proven ability to communicate complex technical work to a non-technical audience.
- A strong passion for and extensive experience in conducting empirical research and answering hard questions with data.
- Experience with relational databases and SQL, especially Hive.
- Experience working with extremely large data sets.
- Experience in Pandas, R, SAS or other tools appropriate for large scale data preparation and analysis.
- Experience with data mining, machine learning, statistical modeling tools and underlying algorithms.
- Proficiency with Unix/Linux environments.
Sound like a fit? We can't wait to hear from you.
Data Scientist in Cambridge employer: Roberts Recruiting
Join a dynamic and innovative travel company that is revolutionising the industry through the power of big data. Our collaborative work culture fosters creativity and growth, providing you with ample opportunities to develop your skills while working on exciting projects that impact millions of travellers. Located in a vibrant tech hub, we offer competitive benefits and a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Cambridge
✨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 Roberts Recruiting!
✨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 Data Scientist at Roberts Recruiting.
✨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 Roberts Recruiting.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Roberts Recruiting, 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 Data Scientist in Cambridge
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 Roberts Recruiting, 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 Roberts Recruiting. 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 Roberts Recruiting
✨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 Roberts Recruiting!
✨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.
