Data Scientist - Consultant

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

• 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

• 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