At a Glance
- Tasks: Analyse data, develop predictive models, and work on exciting R&D projects.
- Company: Global consulting firm with a focus on innovation and collaboration.
- Benefits: Extensive training, clear career progression, and opportunities for internal promotion.
- Other info: Engage in community support activities and sports tournaments.
- Why this job: Join top industry projects and make a real impact in a dynamic team.
- Qualifications: Recent graduates or final year students with a passion for data science.
The predicted salary is between 30000 - 40000 £ per year.
We are currently recruiting for our Summer 2026 intake, with an expected start date in September 2026.
Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services, targeting both functional aspects and the implementation of related technologies.
We currently have a multidisciplinary team (functional, mathematical, technical and systems integration) of 4,000 professionals.
We operate through 52 offices (24 in Europe, 23 in the Americas, 3 in Asia, 1 in Africa and 1 in Oceania) from where we regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania).
Role
- Statistical data processing (Data Mining)
- Predictive modeling using Machine Learning and Data Science techniques
- Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo)
- Development, validation and audit of financial, risk, marketing and business-oriented models
- R&D projects
Requirements
- Recent graduates or final year students.
- Should desirably have knowledge of Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms
(AWS, Azure, GCP).
- Solid academic record.
- Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Artificial Intelligence, Quantitative Finance or similar.
- Knowledge of other languages is desirable.
- Get-up-and-go attitude, maturity, responsibility and strong work ethic.
- Strong ability to learn quickly.
- Able to integrate easily into multidisciplinary teams.
What we offer
- Working in the highest-profile consulting projects in the industry,
- for the largest companies, leaders of their respective markets,
- alongside top industry management as they face challenges at the national and global level,
- as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry
Training
- Ongoing training plan, with approximately 10% of business turnover spent on training.
- Specialist knowledge courses, external expert courses, professional skills courses and language courses.
- Last year our staff as a whole received over 400,000 hours of training spanning more than 160 courses.
- Clearly defined career plan.
- Internal promotion based solely on merit.
- Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners
Complementary experiences
- University: we maintain a close relationship with the world’s most prestigious universities.
- Social Action: we organize more than 30 community support activities.
- Sports Club: internal and external tournaments.
- #J-18808-Ljbffr
DATA SCIENCE CONSULTANT UK employer: Management Solutions
Management Solutions is an exceptional employer, offering a dynamic work environment where recent graduates can thrive in the field of digital transformation. With a strong commitment to employee development, we invest significantly in training and provide clear career progression opportunities, allowing you to work on high-profile projects alongside industry leaders. Our collaborative culture, combined with a focus on social responsibility and community engagement, makes us a standout choice for those seeking meaningful and rewarding careers in consulting.
StudySmarter Expert Advice🤫
We think this is how you could land DATA SCIENCE CONSULTANT UK
✨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 DATA SCIENCE CONSULTANT UK
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 Management Solutions 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 Management Solutions
✨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 Management Solutions.
✨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 Management Solutions that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
