EU Data Scientist Lisboa

EU Data Scientist
Lisboa
Lisboa, Lisboa, Portugal

Job Title: EU Data Scientist
Location: Hybrid, Lisbon
Competitive salary and benefits
Join one of Europe's largest B2B used vehicle service
At BCA, we’re altogether, more. More than just your average vehicle remarketing company. More than just any other place to work. We’re Europe's largest vehicle remarketing business, the backbone of the automotive supply chain. The BCA EU business is now at an exciting turning point in their ambitions for how data can enhance their customer proposition. This role is part of a significant investment in strengthen the Decision Intelligence capability in the EU business, through a continuous development and maintenance of the Data Warehouse, expanding our use of Data Science & Machine learning solutions, developing new dashboards and fostering the adoption of these tools by the business users, promoting efficiencies and generating added value. As a Data Scientist working for BCA, you’ll be responsible for the development, maintenance and improvement of our machine learning data products in the EU using our
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- class framework. Furthermore, from starting with simple proofs of concept through to model refinement and deployment you’ll be involved in the development of new data products for the EU business. The ideal candidate will have experience of statistical learning approaches e. g regression,
- based approaches,
- series methods, clustering, etc, and will be innovative in model development and naturally curious, willing to try new approaches. Solutions will be built using BCA’s best of breed Data Science solution (Python, SQL Server, Git, Databricks, MLflow, Azure Machine Learning, Azure Data Lake, Azure Dev
Ops Services and Azure Kubernetes Services). Role Accountabilities:Ensure the
- going accuracy of BCA’s valuation models through the development of predictive models and machine learning approaches, experimenting with new ideas to further enhance our BCA Valuation
- set. Utilise models to provide pricing intelligence to key stakeholders ensuring the direction of the market in each country is understood. Explain the implications of models and model insights to business stakeholders and external customers in an
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- understand way. Be able to identify and suggest new opportunities where the Data Science Team can add value to the BCA EU business. Knowledge and Experience:Experience of using a statistical language to build data products, preferably Python or R. An added advantage is experience with a
- rounded stack of data science libraries, such as Num
Py, Scikit-learn, Pandas, Matplotlib, Seaborn, Tensor
Flow, Keras, Py
Torch, Statsmodels, and XGBoost, to effectively clean, preprocess, transform, model, and visualize datasets. Experience in
- oriented programming and package building is valued. Knowledge of a machine learning approaches to model data (supervised/unsupervised analysis). E. g. Logistic regression, general linear models, decision trees, deep learning, cluster analysis, etc. Exposure to data pipelines for both model training, evaluation and reporting/analytical purposes. Use of cloud infrastructure to deploy model to a production environment would be beneficial. Experience of using SQL to extract data from source systems. Interest in data visualization tools, such as Power
Bi, for model performance monitoring is a plus. Excellent communication skills, including the confidence to present to key stakeholders. Excellent written & oral communication skills, with an ability to interact with all levels of end users and technical resources. Strong attention to detail and proactive in identifying and owning issues as they arise. Able to get up to speed quickly in understanding of the business metadata
To question the status quo and suggest possible improvements in the processes (harnessing automation where possible)Our policy is to employ the best qualified people and provide equal opportunity for the advancement of employees including promotion and training and not to discriminate against any person because of gender, race, ethnicity, age, sexual orientation, religion, belief or disability. Thank you for your interest in working for us. Unfortunately, due to the volume of responses we cannot reply to every applicant, if you haven't heard from us in two weeks please assume you have not been successful.