Description:

The purpose of the Data Scientist position is to leverage data across the company to enhance commercial decisions and provide excellent campaign management.
The role involves using advanced statistical methods and machine learning algorithms to analyze complex datasets and extract actionable insights that drive business decisions.
Responsibilities include developing, testing, and deploying predictive models while ensuring scalability and optimal performance.
Collaboration with Data Engineers is essential to maintain data quality and consistency.
The Data Scientist will create and optimize features, build reusable data pipelines, and document processes and methodologies clearly.
The role also includes refining existing models based on new data, mentoring junior team members, and promoting a collaborative, data-driven culture.

Requirements:

A Bachelor's degree or higher in Statistics, Mathematics, Data Science, or Data Engineering, focusing on Analytics, Artificial Intelligence, or Machine Learning is preferred.
A minimum of 4 years of experience as a Data Scientist, AI/ML Engineer, or Data Engineer, with proficiency in programming languages such as Python or R.
Strong knowledge of AI/ML frameworks and libraries, including Databricks MLOps, Microsoft Azure ML Studio, Amazon SageMaker, MLlib, MLOps, Scikit-learn, TensorFlow, Matplotlib, and Spark.
Excellent understanding of AWS or Azure data engineering pipelines, particularly AWS Glue, AWS Lambda, Azure Data Factory, Databricks, and Python (NumPy, Pandas).
Solid knowledge of database and dimensional modeling technologies is required.
Familiarity with Scrum and Agile practices is necessary.
Proven communication, analytical, and problem-solving skills are essential.

A flexible four-day Flexi-Week at full pay, with no reduction to your annual holiday allowance, prioritizing mental health and wellbeing.
A monthly remote working allowance to cover part of your running costs and support in setting up your remote workspace.
Flexi-Office options that provide an international culture and flexibility through hybrid/remote work possibilities.
Meal vouchers to support a variety of lunches.
Health and wellbeing insurance covering several types of health, vision, and dental treatments for you and one additional family member.
Eligibility for a remote working furniture package after 3 months of employment to set up a proper workplace.
A peer-to-peer program to thank and reward colleagues with vouchers.