Data Engineer (AI/ML)

TN United Kingdom; London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as an AI/ML Data Engineer, where you will leverage data to drive strategic decisions. In this role, you will design and automate predictive models, ensuring high-quality code and effective collaboration with a global team. Enjoy a flexible work environment with a four-day workweek, comprehensive training programs, and a strong commitment to employee well-being. This is an exciting opportunity to advance your career while contributing to innovative projects that shape the future of data-driven decision-making.

Benefits

Flexible four-day workweek

Remote work allowance

Health & Well-Being initiatives

Professional development programs

Peer-to-peer recognition program

Qualifications

• 2+ years of experience as a data engineer on AI/ML projects.
• Strong knowledge of scrum practices and agile mindset.
• Experience designing end-to-end ETL solutions.

Responsibilities

• Develop predictive models and metrics to monitor effectiveness.
• Collaborate with a global team of data engineers and analysts.
• Innovate solutions for complex business problems.

Skills

Python

R

Machine Learning

Data Engineering

Analytical Skills

Communication Skills

Education

Bachelor’s degree in Data Science

Master’s degree in related field

Tools

NumPy

Pandas

Scikit-Learn

Keras

Flask

Microsoft Azure

Data Bricks

Spark

Job description

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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 facilitate better commercial decisions and provide top-tier 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. Being a strong team player, capable of working independently, and eager to improve our standards and practices are essential.

You need to understand data and business requirements and translate them into technical specifications. Writing clean, high-quality, understandable, and maintainable code is crucial. You should be experienced in various data extraction, transformation, and storage methodologies, applying your knowledge to develop and enhance 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 analysts, including other big data engineers within the organization.

Key Tasks & Accountabilities

• Write 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 monitor their effectiveness.
• Innovate solutions for complex business problems using self-improving automated predictive models.
• Evaluate existing models and suggest improvements for better results and efficiency.
• Develop best practices for building and orchestrating predictive models.
• Ensure quality, accuracy, and proper interpretation of results.

Education & Experience

• Bachelor’s degree or higher in data science, data engineering, business intelligence, business administration, or a related field focusing on math, statistics, or data engineering is preferred.
• At least 2 years of experience as a data engineer working on AI/ML projects using Python, R, or similar tools.
• 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 to identify datasets for training.
• Solid understanding of cloud services (Azure and AWS) and BI/Data Analysis tools.
• Experience with Big Data technologies like Data Bricks, Spark, Scala, and JSON is preferred.

Skills & Core Competencies

• Excellent analytical skills to translate business needs into actionable tasks, with a proactive approach to challenges, 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 resilience in facing challenges.
• Strong communication and interpersonal skills.
• Effective project and process management skills, committed to timely and quality delivery.
• Team-oriented with a desire for continuous improvement.

Our Offer

• Flexi-Week and Work-Life Balance: Enjoy a flexible four-day workweek at full pay, with no reduction in annual leave, plus various paid special leaves.
• Working Wherever: Choose to work from our office, home, or elsewhere within our locations, with flexibility.
• Health & Well-Being: Access initiatives and sports offerings supporting your mental and physical health.
• Development: Use our Awin Academy for professional and personal growth through comprehensive training programs.
• Remote Working: Receive a monthly allowance for remote work expenses and support in setting up your workspace.
• Appreciation: Send and receive vouchers through our peer-to-peer recognition program.

Founded in 2000, Awin fosters a dynamic, inclusive culture. We adapt to a virtual environment through our 'Life @ Awin' hub, connecting colleagues worldwide for social activities. We value diversity and inclusion, welcoming applicants of all backgrounds, identities, and experiences. Support is available throughout the application and interview process.

Apply now to advance your career with a progressive company committed to your professional and personal development.