Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist - Consultant

Cornerstone OnDemand Ltd.
London
1 day ago
Create job alert

Data Scientist - Consultant
In the United Kingdom- London

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 excitingopportunity to join our Data Science team in London!

How you will create impact:

As aData Scientist at Simon-Kucher, you will be an integral part of theproject teams working to drive top-line growth for our clients, linkedprimarily with our UK and Netherlands focused projects. You will beresponsible for the core components of the model development process, fromdata wrangling / pre-processing to Machine Learning model development,testing, and implementation. Throughout this process, you will also gatherand communicate meaningful data insights to your project team. Otherresponsibilities include:

  • Datawrangling, extraction, and pre-processing in SQL or Python
  • Conductingexploratory data analysis and communicating insights through cleardescriptions and visualizations in Tableau or PowerBI
  • Developing,testing, and implementing Machine Learning models
  • Conductingresearch on recent developments in Machine Learning and AI, with a focuson topics related to pricing, sales, and marketing
  • Beinga topic expert on Machine Learning and AI for your project team, enablingstrong project planning and team performance
Your profile:
  • Degreein 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 orin consulting
  • Experiencewith Machine Learning and statistical modelling techniques
  • Strongprogramming skills in R and/or Python
  • Experienceapplying advanced analytics and Machine Learning to solve businessproblems
  • Experiencewith data visualization software / libraries (Tableau, PowerBI)
  • Comfortworking both on a team and autonomously
  • Strongwritten and verbal communication skills, ability to simply and conciselyexplain complex analytical topics
  • Entrepreneurialspirit—we are a fast-growing team with vast opportunities for growth

Inaddition, these areas of knowledge and experience would really make yourapplication stand out:

  • Implementationexperience with Machine Learning models and applications
  • Knowledgeof cloud-based Machine Learning engines (AWS, Azure, Google, etc.)
  • Experiencewith large scale data processing tools (Spark, Hadoop, etc.)
  • Abilityto query and program databases (SQL, No SQL)
  • Experiencewith distributed ML frameworks (TensorFlow, PyTorch, etc.)
  • Familiaritywith collaborative software tools (Git, Jira, etc.)
  • Experiencewith user interface libraries / applications (Shiny, Django, etc.)
  • Experiencein developing ML or statistical models in the field of pricing (e.g. priceelasticity modelling) or dynamic pricing
  • Domainexpertise in pricing, demand forecasting, or time-series data
What we offer:
  • Work within a corporate culture defined by our entrepreneurialspirit, openness, and integrity
  • Broaden your perspective with our extensive training curriculum andlearning opportunities
  • Push your development with support from our holistic feedback anddevelopment 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
  • Enjoyour range of benefits and our focus on your wellbeing

Does this sound like you? Let's connect. Simply press the 'Apply now' button. Please include a covering letter defining your motivation and fit with the role. You're application will be marked incomplete without it.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.