Requirements: English
Company: awin
Region: Milan , Lombardy
Data sits at the heart of the company. This role is to ensure that Awin is able to leverage the data it has access to across the group and build out reporting to enable better commercial decisions and provide best-in-class campaign management to support client-facing departments.As an AI / ML Data Engineer, your responsibilities include researching, building, designing, and automating predictive models along with metrics to track their progress. You should have proven communication and analytical skills, be a strong team player, and able to work with minimal supervision. You are keen to implement and improve our standards and working practices.You understand data and business requirements and can translate them into technical specifications. You write clean, high-quality, maintainable code and can implement various data extraction, transformation, and storage methodologies, applying your experience to create and improve predictive models.Within this role, you will break down requirements with clear instructions. As a member of the Data Services department, you will collaborate with a global team of data engineers and data analysts, including other big data engineers within the organization.Key Tasks & AccountabilitiesWrite clean, elegant, and maintainable code following Data Engineering and AI / ML best practices.Understand business objectives and develop models to achieve them, along with metrics to track progress.Find innovative solutions to complex business problems using self-improving automated predictive models.Evaluate existing models and recommend improvements for better results and efficiency.Develop best practices for building and orchestrating predictive models.Ensure quality, accuracy, and proper interpretation of result sets.Education & ExperienceBachelors degree or higher in data science, data engineering, business intelligence, or related fields focusing on math, statistics, or data engineering.At least 2 years of experience as a data engineer working on AI / ML projects using Python, R, or similar languages.Strong knowledge of Scrum practices and an agile mindset.Proficiency in Python (NumPy, Pandas, Scikit-Learn, Keras, Flask), R.Experience designing end-to-end ETL solutions using Microsoft Azure technologies.Knowledge of cloud services (Azure and AWS) and BI / Data Analysis tools.Experience with big data tools such as DataBricks, Spark, Scala, and JSON is preferred.Skills & Core CompetenciesStrong analytical skills to translate business needs into actionable tasks, delivering projects on time and within budget.Deep understanding of machine learning principles.Innovative mindset to advance machine learning projects.Willingness to learn, adapt, and initiate new projects.Autonomous decision-making capability and problem-solving skills.Excellent communication and interpersonal skills.Strong project and process management skills, committed to quality and timeliness.Team-oriented with a desire for personal and professional growth.Our OfferFlexi-Week and Work-Life Balance: A flexible four-day workweek with full pay and no reduction in annual leave, plus various paid special leaves.Working Wherever: Flexibility to work from our office, home, or any preferred location within our Awin sites.Health & Well-Being: Initiatives and sports offers supporting mental and physical health.Development: Access to Awin Academy for professional and personal growth.Remote Working: Monthly allowance for remote workspace setup and support.Recognition: Peer-to-peer vouchers and recognition programs.Established in 2000, Awin fosters a dynamic, inclusive, and social culture. Our virtual Life @ Awin hub connects colleagues worldwide through social activities.Diversity & Inclusion are core principles. We celebrate uniqueness and authenticity, actively recruiting diverse backgrounds, identities, and experiences. Support is available throughout the application and interview process.Apply now to advance your career at a progressive company committed to your professional and personal development.#J-18808-Ljbffr