Data Scientist

Join to apply for the Data Scientist role at Robert Walters . We are seeking a highly skilled and analytical Data Scientist to join our market research team. The Data Scientist needs practical knowledge and comprehensive understanding of research processes and techniques. The successful individual will actively assist in the data production process and when required, within the departments. The ideal candidate will be responsible for designing the sample and survey, providing sample implementation instructions into the field, producing monthly data and extrapolations for final client delivery, developing innovative models, and generating actionable insights. This role requires a strong foundation in statistics, machine learning, and data visualization, combined with an understanding of market behaviour and dynamics. As a Data Scientist in the market research domain, you will bridge the gap between raw data and business decision‑making, helping stakeholders understand market trends. While mining, interpreting, and reviewing the data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realising the data's full potential. As part of a team of specialists, the Data Scientist will "slice and dice" data using various methods and create new visions for the future. Responsibilities Gather and process volumes of structured and unstructured data to identify trends and patterns Ensure data integrity, consistency, and accuracy through the use of statistical techniques to validate data for uniformity and accuracy Set up and perform additional data‑reviewing methods using statistics to design more efficient data review processes Design sample methodologies and universe for new projects during project setup phases Evaluate universe and sample designs for existing projects and implement changes where necessary Apply weighting techniques to survey data to ensure representativeness Support survey design using statistical principles to ensure validity and reliability Design a streamlined restatement process to avoid data step changes Work closely with all stakeholders to identify project health issues and develop effective solutions Manage and implement data rework / restatements processes for all tracking projects Find innovative solutions to universe challenges by applying a modelling approach Work closely with different teams to apply data‑driven insights and provide guidance for the correct use of reported data Assist with complex data investigations and analysis Serve as a data strategist to identify and integrate existing and new datasets that can be leveraged to enhance product capabilities, and work closely with the engineering team in the development of data products Stay updated with the latest tools, AI technologies and methods in Data Science Advise on innovative data collection strategies and recommend best‑suited approaches Requirements 7+ years of experience in Data Science Bachelor's degree (or equivalent) in Statistics, Applied Mathematics, or a related field Experience with Excel, PowerPoint, PowerBI, SQL, and statistical tools SPSS and SAS Proficiency with data mining, mathematics, and statistical analysis Extensive experience in pattern recognition and modelling Strong numeracy skills and exceptional attention to detail A proactive problem solver and quick thinker Ability to work effectively in a dynamic, research‑oriented group Meticulous attention to detail Ability to manage competing priorities under demanding deadlines Eagerness to grow and learn with the company as part of a high‑performing team A can‑do attitude We Are Looking For Someone With A can‑do attitude #J-18808-Ljbffr