Data Scientist

Purpose of position

• 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 ensure we are able to make better commercial decisions and provide best-in-class campaign management to support client facing departments.

• As a Data Scientist, your responsibility is to leverage advance statistical methods and machine learning algorithms to analyze complex dataset and extract actionable insights that drive business decision

• You will develop, test, and deploy predictive models, ensuring scalability and optimal performance, while collaborating closely with Data Engineers to maintain data quality and consistency.  

• Within the role, you will be creating and optimizing features, building reusable data pipelines, and clearly documenting processes and methodologies. Additionally, you will also refine existing models based on new data and advancements, mentor junior team members, and promote a collaborative, data-driven culture.

Key Tasks & accountabilities

• Analyze and interpret complex datasets using statistical methods and machine learning algorithms to extract actionable insights.

• Develop, test, and deploy predictive and classification models, optimizing them for performance and scalability.

• Collaborate with Data Engineers to clean, preprocess, and structure data, ensuring quality and consistency throughout the workflow.

• Create and optimize features for models, building reusable pipelines with engineers and leveraging domain knowledge.

• Document processes and methodologies clearly, and present results and insights in an actionable way to stakeholders.

• Continuously refine models based on new data and advancements, while mentoring junior team members and fostering collaboration.

Education & experience

• Bachelor's degree or higher in Statistics, Mathematics, Data Science, or Data Engineering, with a focus on Analytics, Artificial Intelligence, or Machine Learning is preferred.

• 4+ years of experience working as a Data Scientist, AI/ML Engineer, or Data Engineer, with proficiency in Python, R, or similar programming languages.

• Strong knowledge of AI/ML frameworks and libraries like Databricks MLOps, Microsoft Azure ML Studio, or 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.

• Familiarity with Scrum and Agile practices.

• Proven communication, analytical, and problem-solving skills.

Skills & Core competences

• Strong ability to analyze large datasets, identify patterns, and generate insights using statistical methods.

• Experience in developing, testing, and deploying machine learning models like classification and predictive models, with expertise in algorithms such as decision trees and regression.

• Proficient in data cleaning, preprocessing, and feature engineering to ensure quality and consistency in models.

• Skilled in Python, R, SQL, and familiar with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PySpark.

• Collaborative approach to working with Data Engineers and teams to integrate and optimize machine learning models for performance and scalability.

• Capable of documenting methodologies and processes clearly, and continuously adapting models based on the latest advancements.

• Experience mentoring junior data scientists and fostering knowledge sharing across the team.

• Strong customer focus and service attitude

• A team player and ability to work on own self

• Proactive approach to tasks & challenges

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.

• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.

• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions

• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.

• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.

• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location

• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.