OverviewData Scientist

role at

Simon-Kucher

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 exciting opportunity to join our Data Science team in London!

How You Will Create ImpactAs 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

Nice-to-have

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. Please include a covering letter defining your motivation and fit with the role. You''re application will be marked incomplete without it.

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Business Consulting and Services

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