Data Scientist

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

• 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

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

• 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