At a Glance
- Tasks: Support consulting projects with advanced analytics and develop innovative solutions for clients.
- Company: Join Q5, a global consultancy transforming businesses through data-driven insights.
- Benefits: Gain hands-on experience, collaborate with experts, and potential for permanent role.
- Other info: Dynamic team environment with opportunities for growth and learning.
- Why this job: Bridge academia and industry while tackling real-world business challenges.
- Qualifications: PhD or post-doc in quantitative discipline with strong analytical skills.
The predicted salary is between 30000 - 40000 £ per year.
This is a great opportunity for a PhD graduate with strong analytical skills to explore a career in management consulting through our 3-month Research Analyst role based in our London office. This will run between 7/9 - 27/11/26.
About Q5
Q5 is a global organisation transformation consultancy that brings the Art & Science of Organisation Health to help our clients build better businesses worldwide. Since we were founded in 2009, we have had the privilege to partner with some of the world’s leading businesses, providing them with expert analysis, creating dramatic new strategies, overhauling struggling operations, and making sure the right people are in the right place, doing the right things for the business to thrive. What sets us apart though is not just what we do but how we do it. We take a partnership approach to our engagements, helping clients to come together and create tailored and comprehensive solutions that work for their business and context. Our working style is highly collaborative, which in practice means we enable their leaders with a structured approach and transformational expertise so that they can define, design, and deploy their vision.
About the Analytics Hub
Q5’s ‘Analytics Hub’ provides specialist analytical capability to support our team to deliver a range of management consulting projects. You will work with a cross-disciplinary team from a variety of quant-focused backgrounds, giving you the opportunity to apply and grow your skills, while learning about new methods and sectors. It is an incredibly exciting time for the business, with the team growing rapidly and working across a wide spread of client challenges including:
- Analysis in support of operating model redesign
- Predictive modelling and statistical analysis of operational data
- Benchmarking using available market data
- Business transformation to reduce operating costs
- Modelling future workforce needs
- Financial analysis and scenario modelling to support strategic reorientation
- Designing strategic management dashboards
- Culture diagnostics drawing together people and survey data
About the Role
We are seeking a highly analytical Research Analyst to join our growing Analytics Hub. This role is designed for an individual who has recently completed a PhD or post-doctoral position in a quantitative discipline (Physical and Life Sciences, Statistics, etc.) and is interested in exploring a career in management consulting. To be successful in the role you will need to bring together solid quantitative skills, general problem-solving abilities, a creative and innovative mindset, alongside a collaborative, down-to-earth style. As a Research Analyst, you will have the opportunity to apply the advanced analytical, modelling and problem-solving skills developed through your academic research to complex business challenges faced by leading global organisations. Working alongside experienced consultants and analytics specialists, you will contribute to high-impact client engagements across a variety of sectors and service offerings. You will play an active role in delivering analytics projects, developing innovative analytical approaches and helping clients make better decisions using their data. The role offers a unique opportunity to bridge the gap between academia and industry, combining rigorous quantitative thinking with practical business problem-solving. There may be the opportunity for this role to progress to a permanent role within the Analytics Hub at the end of the internship period.
Key responsibilities
- Support consulting engagements through the application of advanced quantitative methods, statistical techniques and data science
- Conduct analyses and develop models to create actionable business insights and support client decision-making
- Design and build dashboards, visualisations and analytical tools for clients and project teams
- Support the development of innovative analytical solutions and intellectual property for the Analytics Hub
- Collaborate closely with consultants and clients to understand business problems and translate them into analytical approaches
- Present findings and recommendations in a clear and compelling manner to both technical and non-technical audiences
Requirements
Essential
- Recently completed PhD or post-doctoral research in a technical/quantitative discipline (Physical and Life Sciences, Statistics, etc.)
- Strong analytical and problem-solving capabilities, demonstrated through academic research or applied projects
- Experience working with complex datasets and developing quantitative models
- Proficiency in Python, R, or similar analytical programming languages
- Strong statistical analysis and modelling skills
- Experience in cleaning, transforming and analysing structured and unstructured data
- Ability to communicate complex analytical concepts clearly and effectively
- Curiosity about business challenges and an interest in applying quantitative methods outside academia
- Strong collaboration and interpersonal skills
Desirable
- Experience with AI, machine learning, simulation or forecasting techniques
- Familiarity with data visualisation tools such as Power BI, Tableau
- Exposure to organisational, workforce, operational or financial datasets
- Interest in supporting our healthcare practice (which is a growing area for the firm)
Research Analyst Analytics Hub, London, Sept - Nov 2026 employer: Q5
Q5 is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for PhD graduates to launch their careers in management consulting. Located in the vibrant city of London, employees benefit from a dynamic environment that encourages professional growth through hands-on experience with complex business challenges and access to a diverse range of projects. With opportunities for progression within the Analytics Hub and a commitment to employee development, Q5 stands out as a rewarding workplace for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Research Analyst Analytics Hub, London, Sept - Nov 2026
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Research Analyst Analytics Hub, London, Sept - Nov 2026
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Q5 will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Q5
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Q5.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Q5 that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
