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BI Data Modeler
3 months ago
With thousands of watches available from more than 50 brands, including Rolex, Omega, IWC and more, plus boutiques across the UK and a manufacturer certified service centre, Watchfinder has established itself as the top pre-owned watch specialist.
We are on the search for a Data Scientist to join our central product team at our HQ in Kent.
You will be responsible for creating and improving data & analytics products to support in the decision-making process for strategic and operational matters, and process performance monitoring, using concepts and tools of data science, machine learning, hypothesis tests, data mining, business intelligence, and statistical modelling methodologies.
This involves a keen ability to gather requirements and organise them into an appropriate project planning using Agile methodologies.
This is an exciting opportunity for a Data Scientist who a desire to grow further in the sector and gain valuable knowledge with cloud technology, machine learning and forecasting techniques.
Collaborate in cross-functional (Data, Dev/Tech, and Business) teams and share ideas to solve complex business problems through data.Collect data, transform accordingly, and create datasets from the available data into Watchfinder databases and data warehouse to produce analytical data products to be used in the data science projects and/or business reports/dashboards; also supporting on identifying new data sources we could ingest to our data warehouse for new analysis.
Data-modelling in cloud data warehouse to enable consumption by business users in self-service BI paradigm.Manage and organise work through agile methodologies such as Kanban, Scrum and Git version control and CI/CD pipelines.
Provide support on leading and managing the Data team projects, with consultative approach on technologies and methodologies to address the requirements.
Degree in quantitative or social sciences area (such as Mathematics, Statistics, Computer Science, Physics, Economics, Accounting, Business Administration or similar) and an appreciation of analytics and statistics.
Experience with relational databases (SQL) and Python with common libraries such as Pandas, NumPy, Scikit-Learn, etc. Virtual environments, packaging and dependency management would also be appreciated.Combining different data sources (from different applications) for data parsing, cleansing, joining transformation skills.
Effective communication skills, including the ability to translate technical complexity in a simple way for non-technical people (writing, face-to-face discussions and on conference calls), write project evaluations, pitch ideas effectively and persuasively to clients and internal stakeholders.
Proactive and concerned to detect, manage and workaround data quality issues to assure reliable and high-quality datasets.Understanding of main machine learning concepts and algorithms – deep learning for image processing and object detection and classification will also be valuable in this role.
Basic knowledge or experience of cloud platforms and warehouses (GCP and AWS) and modern data stack tools, such as Airbyte, Airflow, dbt, BigQuery and Metabase will be appreciated.
Experience of predictive modelling/forecasting and web scraping would be advantageous.As a significant member of the Watchfinder community, you are also part of a much bigger family at Richemont.
We strongly believe in internal development, mobility and offering various opportunities to enhance both your personal and professional development.2nd Stage – Video / in-person interview with the Data & Analytics Manager which will focus on your technical experience and prior project experience.
3rd Stage – Final stage with the Data & Analytics Manager which will include a case study to be submitted ahead of the interview.
