At a Glance
- Tasks: Join a four-month training programme to master data analysis and consulting skills.
- Company: The Information Lab, a leader in data visualisation and integration.
- Benefits: Earn £35k during training, rising to £40k, plus 25 days holiday and more.
- Other info: Diverse and inclusive workplace welcoming applicants from all backgrounds.
- Why this job: Work with top brands like Coca-Cola and PwC while solving real-world data problems.
- Qualifications: Numerate, analytical, and passionate about data-driven problem solving.
The predicted salary is between 35000 - 40000 £ per year.
The Information Lab operates a rolling recruitment model with cohort allocations on a first-come, first-served basis. Applicants should indicate their preferred cohort in the application form. If the first choice is full, a spot may be offered in a subsequent cohort. Submitting your application in advance of the deadline for your chosen cohort maximises your chances.
About The Data School: The Information Lab has a simple mission: to help people make sense of data. We work with leading products for data visualisation and data integration, such as Tableau and Alteryx, to help clients like PwC, Coca-Cola, Unilever, Virgin Atlantic and UBS since 2011.
What you will do:
- Join a four-month intensive training program at the Data School.
- Learn about storing, managing and presenting data, plus personal skills to become an exceptional consultant.
- Work with coaches and the wider team in an inclusive and collaborative environment.
- Undertake placements with major blue-chip clients in the UK to showcase your knowledge and skills.
- Engage in problem solving with data and evidence to get to the truth.
Qualifications and qualities:
- Numerate
- Analytical
- Data driven
- A people person
- A problem solver
- A confident communicator
- Passion for the subject and for data-driven problem solving
Location, terms and benefits:
- Location: 25 Watling Street, London, EC4M 9BR
- Contract: 28 month fixed term
- Salary: £35k during training and placements 1 and 2, rising to £40k per year for the remaining time
- Holiday: 25 days paid leave
- Other benefits: Pension, Laptop, Mobile phone
Diversity, eligibility and recruitment notes: We recruit from all degree disciplines and welcome applications from career changers. The workplace is diverse and inclusive, and we do not discriminate on gender, ethnicity, race, or sexual orientation. We can only accept applicants who have the right to work in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land The Data School UK - Data Analyst/Consultant in London
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like theinformationlab.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including theinformationlab, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like theinformationlab.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including theinformationlab, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace The Data School UK - Data Analyst/Consultant in London
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so theinformationlab can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at theinformationlab and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at theinformationlab
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells theinformationlab that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into theinformationlab’s culture and workflow.
