DATA SCIENCE CONSULTANT LONDON

Management Solutions
City of London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Science Consultant – Capital Markets

Data Science Consultant - Health

Senior Transport Data Science Consultant & Strategist

Data Science Graduate

Transport Data Science Managing Consultant

Managing Consultant - Transport - Data Science

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 around 4,000 professionals.


We operate through 50 offices (22 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:

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.


We look for candidates like you

  • Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields.
  • Postgraduate studies and/or specialized 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.


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 330,000 hours of training spanning more than 150 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 activities

  • 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.

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.