DATA SCIENCE CONSULTANT LONDON

Management Solutions, S.L

City of London

3 months ago

Applications closed

Related Jobs

View all jobs

Senior Data Science Consultant

Senior Consultant, Data Science (Customer Data)

Data Governance & Security Consultant

Data Analytics Consultant

Senior Consultant - GCP Data Engineer

Managing Consultant, Customer Data Analytics / Data Science

United Kingdom DATA SCIENCE CONSULTANT LONDON London / Graduate / Number of vacancies : 5

You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects.

Requirements

Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields.
Postgraduate studies and / or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.).
Solid academic record.
Strong computer skills.
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.

We Offer The best environment to develop talent

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

Ongoing training plan, with approximately 10% of business turnover spent in training

Specialist knowledge courses, external expert courses, professional skills courses, and language courses.

Last year our staff as a whole received over 375.000 hours of training, spanning more than 150 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 experiencies

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.

For more information about Management Solutions and the professional careers we offer, we invite you to visit our website at : www.managementsolutions.com

At Management Solutions we believe in equal opportunities. In our selection process, all qualified applicants are equally considered for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.

More on Management Solutions 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.

The best environment to develop talent

Discover our Londres office 6 Bevis Marks EC3A 7BA London United Kingdom (+44) 20 74 69 68 00

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Jan 23, 2026

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.