At a Glance
- Tasks: Transform data into actionable insights and work on innovative projects across various industries.
- Company: Award-winning data and AI consultancy with a commitment to diversity and inclusion.
- Benefits: Salaried training, paid flights, accommodation, and rapid salary progression.
- Other info: Join a supportive community and access ongoing development opportunities.
- Why this job: Kickstart your career in data with no prior experience needed and make a real impact.
- Qualifications: Degree in any major and right to work in the US without sponsorship.
The predicted salary is between 42000 - 48000 £ per year.
Location: London, United Kingdom (Training), United States (Post-training)
Start Date: Multiple start dates throughout the year
Salary: $58,000 – $66,000 (upon first client engagement)
Entry requirements: Degree in any STEM or non-STEM major + right to work in the US without sponsorship (throughout employment)
Are you a graduate or junior professional looking for a career in data, but lack the relevant experience to take that leap? Look no further!
About us: We’re an award‑winning data and AI consultancy on a mission to transform organizations and the careers of the people we hire. As experts in both technology and business, we design and deliver solutions that stick – driving value for our clients in the short, mid, and long term. We work across a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility.
What you’ll receive if you join:
- Salaried training in the UK: Fly to London for 15 weeks of immersive, instructor‑led training in data fundamentals, specialist skills (relevant to client demand) and hands‑on exposure to projects.
- Earn while you learn: Kickstart your career with a salaried program, earning up to $50,000 during training.
- Paid‑for flights and accommodation: We’ll cover your flights to and from London, and your accommodation whilst you’re here, so you can focus on learning alongside a supportive cohort of peers, including others from the US.
- Make a real impact: Return to the US post‑training to work on cutting‑edge projects with industry leaders across finance, healthcare, retail, and beyond.
- Rapid salary increases: Earn up to $82,000 after 24 months.
- Ongoing pastoral and professional support: from our dedicated Consultant Success team.
- Access to ongoing development: in the form of training resources, paid‑for accreditations, and mentoring, plus real‑world exposure to client work.
- Opportunities to earn up to $130,000: after four years, if you remain with us and progress into a senior consultant position.
- Opportunities to join your client permanently: after two years (if you choose not to remain with us).
- Stay connected for life: as a Kubrick alumni member, where you’ll have access to an ever‑growing network of thought leaders and more.
- Thrive in an Inclusive Environment: Be part of a company that champions diversity and equity, boasting double the industry average in female and non‑binary representation in tech.
Who We’re Looking For:
- Degree in any major (STEM or non-STEM welcome).
- Right to work in the US without the need for sponsorship.
- Strong communicators who thrive in dynamic, fast‑paced environments.
- No prior skills or experience in data is required to join Kubrick, as we’re looking for people who are brand new to the field and want to take that first step.
Salary breakdown:
- Training salary = $50,000*
- Bench (post‑training, prior to first client engagement) = $50,000*
- 0-6 months = $58,000 – $66,000*
- 6-12 months = $62,000 – $73,000*
- 12-18 months = $69,000 – $77,000*
- 18-24 months = $73,000 – $82,000*
- Experienced Consultant = $85,000-$100,000+*
*Depending on your home location, you may be entitled to a salary uplift due to cost of living. Increases are also awarded in line with performance.
Start Dates: We have cohorts starting nearly every month, so apply today!
Graduate Data Consultant employer: Kubrick Group
Join an award-winning data and AI consultancy that prioritises your growth and success. With a unique salaried training programme in London, you will gain hands-on experience while earning, and enjoy rapid salary progression as you transition to impactful projects in the US. Our inclusive work culture fosters diversity and offers ongoing support, mentoring, and networking opportunities, making it an ideal environment for graduates eager to launch their careers in data.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Consultant
✨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 Kubrick Group!
✨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 Graduate Data Consultant at Kubrick Group.
✨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 Kubrick Group.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Consultant at Kubrick Group, 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 Graduate Data Consultant
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 Kubrick Group, 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 Kubrick Group. 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 Kubrick Group
✨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 Kubrick Group!
✨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.
