Data Scientist

Cornerstone OnDemand Ltd.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Government)

Data Scientist Placement

Simon-Kucher is a global consultancy with more than 2,000 employees in 30 countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. We achieve this by optimizing every lever of their commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. With nearly 40 years of experience in monetization topics of all kinds, we are regarded as the world’s leading pricing and growth specialist.

This is an exciting opportunity to join our Data Science team in London!

How you will create impact:

  • As a Data Scientist at Simon-Kucher, you will be an integral part of the project teams working to drive top-line growth for our clients, linked primarily with our UK and Netherlands focused projects. You will be responsible for the core components of the model development process, from data wrangling/pre-processing to Machine Learning model development, testing, and implementation. Throughout this process, you will also gather and communicate meaningful data insights to your project team. Other responsibilities include:
  • Data wrangling, extraction, and pre-processing in SQL or Python
  • Conducting exploratory data analysis and communicating insights through clear descriptions and visualizations in Tableau or PowerBI
  • Developing, testing, and implementing Machine Learning models
  • Conducting research on recent developments in Machine Learning and AI, with a focus on topics related to pricing, sales, and marketing
  • Being a topic expert on Machine Learning and AI for your project team, enabling strong project planning and team performance

Your profile:

  • Degree in a quantitative field, such as computer science, engineering, statistics, operational research, data science, or equivalent experience
  • 2+ years work experience in data science, working in a commercial setting or in consulting
  • Experience with Machine Learning and statistical modelling techniques
  • Strong programming skills in R and/or Python
  • Experience applying advanced analytics and Machine Learning to solve business problems
  • Experience with data visualization software/libraries (Tableau, PowerBI)
  • Comfort working both on a team and autonomously
  • Strong written and verbal communication skills, ability to simply and concisely explain complex analytical topics
  • Entrepreneurial spirit—we are a fast-growing team with vast opportunities for growth

In addition, these areas of knowledge and experience would really make your application stand out:

  • Implementation experience with Machine Learning models and applications
  • Knowledge of cloud-based Machine Learning engines (AWS, Azure, Google, etc.)
  • Experience with large scale data processing tools (Spark, Hadoop, etc.)
  • Ability to query and program databases (SQL, No SQL)
  • Experience with distributed ML frameworks (TensorFlow, PyTorch, etc.)
  • Familiarity with collaborative software tools (Git, Jira, etc.)
  • Experience with user interface libraries/applications (Shiny, Django, etc.)
  • Experience in developing ML or statistical models in the field of pricing (e.g. price elasticity modelling) or dynamic pricing
  • Domain expertise in pricing, demand forecasting, or time-series data

What we offer:

  • Work within a corporate culture defined by our entrepreneurial spirit, openness, and integrity
  • Broaden your perspective with our extensive training curriculum and learning opportunities
  • Push your development with support from our holistic feedback and development processes
  • Hybrid work, mixing your work location between our London office, client sites, and the option to remote work for an element of your time
  • Enjoy our range of benefits and our focus on your wellbeing

Does this sound like you? Let's connect. Simply press the 'Apply now' button. Your application should include a cover letter defining your fit with the role and your CV.

#J-18808-Ljbffr

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.