- Collaborate in cross-functional (Data, Dev/Tech, and Business) teams and share ideas to solve complex business problems through data.
- Keep a close relationship and open communication channel with many different business process owners, understanding their needs and supporting them in the continuous improvement of routines, internal processes, and customer experience.
- 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.
- Demonstrating empathy and respect for the people around us, the work we do and the business we are part of.
- Finding new and innovative ways to adapt and improve the ways we operate and the service(s) we provide.
- Ensuring that the very highest standards are delivered across every facet of our business - internally and externally. Bringing excellence in everything we do, every time.
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Data Scientist - West Malling, United Kingdom - Watchfinder
Description
How will you make an impact?How will you experience success with us?
How do we keep you smiling?
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. You will have the opportunity for your voice to be heard, drive change, and make a real impact from day one. This is a fast-growing company, going through an exciting period of change from a UK centric business to an international company. Giving you the opportunity to gain experience and gain further opportunities in the future.
Your Interview Journey
Our aim is to provide you a transparent interview process from the moment you apply for the role. It is important for us that you get to know us to ensure the role aligns to your future career objectives.
We provide all candidates with open-door access to key people across the business so they can discuss opportunities, get a feel for our culture, and better understand how they can make an impact and be part of Watchfinder's exciting trajectory.
Recognizing we are all different, if you need us to adapt the process, please get in touch via .
1st Stage – After your application has been selected, our Talent team will reach out to you within two weeks to conduct an introductory call.
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.
Our Values
Caring
Pioneering
Outstanding
