DATA SCIENCE CONSULTANT UK

Management Solutions; Greater London; On-site; GBP 12,000 - 18,000; Full time

Job summary

Management Solutions is an international consulting firm recruiting for its Summer 2026 intake starting September 2026. The program targets graduates and final year students with strong data science and AI interests.

You will engage in data mining, AI, ML-driven predictive modeling, time-series analysis, and model development across financial, risk, and business domains. The role offers exposure to large, cross-functional projects across Europe, the Americas, and beyond, with onboarding and

Qualifications

• Recent graduates or final year students.
• Knowledge of AI modeling techniques (logit, GLM, time series, RF, XGBoost).
• Solid academic record.
• Strong computer skills.

Responsibilities

• Statistical data processing (Data Mining).
• AI work including generative AI.
• Predictive modeling using ML and Data Science techniques.
• Time-series modeling (ARIMA) and Monte Carlo simulations.
• Development, validation and audit of financial, risk, marketing and business models.
• R&D projects.

Skills

Data science aptitude

Strong work ethic

Teamwork

Quick learner

Education

Bachelor's degree in quantitative field

Postgraduate studies in Data Science / AI (asset)

Tools

SAS

R

Python

Matlab

Hadoop

Hive

AWS

Azure

GCP

Job description

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)
• Artificial Intelligence (AI), including generative AI
• 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.
• Strong computer skills.
• 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:

We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest:

• 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.

Career plan:

• 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.