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Data Scientist
Location: London, United Kingdom
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, primarily focused on UK and Netherlands projects. You will be responsible for core components of the model development process, from data wrangling/pre-processing to Machine Learning model development, testing, and implementation. You will also gather and communicate meaningful data insights to your project team. Your 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, focusing on pricing, sales, and marketing topics
* Being a subject matter expert on Machine Learning and AI for your project team, enabling effective project planning and performance
Your profile:
* Degree in a quantitative field such as computer science, engineering, statistics, operational research, data science, or equivalent experience
* 2+ years of work experience in data science, in a commercial or consulting setting
* Experience with Machine Learning and statistical modeling 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 independently and in a team
* Strong written and verbal communication skills, with the ability to explain complex analytical topics clearly and concisely
* Entrepreneurial spirit; we are a fast-growing team with vast growth opportunities
Additionally, the following areas would make your application stand out:
* Implementation experience with Machine Learning models and applications
* Knowledge of cloud-based Machine Learning platforms (AWS, Azure, Google Cloud)
* Experience with large-scale data processing tools (Spark, Hadoop)
* Ability to query and program databases (SQL, NoSQL)
* Experience with distributed ML frameworks (TensorFlow, PyTorch)
* Familiarity with collaborative tools (Git, Jira)
* Experience with user interface libraries/applications (Shiny, Django)
* Experience developing ML or statistical models in pricing or dynamic pricing (e.g., price elasticity modeling)
* Domain expertise in pricing, demand forecasting, or time-series data
What we offer:
* A culture driven by entrepreneurial spirit, openness, and integrity
* Extensive training and learning opportunities
* Supportive feedback and development processes
* Hybrid work model: London office, client sites, and remote work options
* Range of benefits focused on your wellbeing
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