Data Scientist Marketing

Requirements:

• Proven experience (3+ years) in data science or advanced analytics roles in marketing 
• Proficiency in using data visualisation tools to communicate findings 
• Strong programming skills in languages such as Python (preferred) or R 
• Experience with machine learning techniques and statistical modelling 
• Experience working with large, complex datasets 
• Ability to explain complex technical concepts to non-technical audiences 
• Understanding of data ethics, privacy, and governance principles 
• Experience working in cross-functional teams and collaborative environments 
• Experience of applying version control in GitHub and of collaborating with others on codebases 
• Strong problem-solving and critical thinking skills 
• Written and verbal proficiency in English is required 

Nice to have:

• Experience in a commercial, or education technology environment 
• Familiarity with cloud platforms such as AWS, Azure, or GCP 
• Experience with modern data engineering tools and frameworks 
• Knowledge of Agile methodologies and product development lifecycles 
• Publications, conference presentations, or contributions to the data science community 
• Experience of working with ML or AI Engineers 

Job description

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

Data Scientist (Marketing)

Offer:

• Constant support of dedicated consultant
• Employee referral program

,[Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges , Collaborate with data engineers to build scalable data pipelines for modelling and reporting , Translate business requirements into data science problems with defined success metrics , Prepare, clean, and manipulate large datasets for analysis and modelling , Communicate results and recommendations clearly to diverse stakeholders, including non-technical audiences , Work with product teams to integrate data science solutions into operational workflows , Ensure all models and analyses comply with data ethics and privacy standards , Lead experiments to test hypotheses and improve product or service performance , Build capability across teams by mentoring colleagues and sharing best practices , Contribute to the data science community and represent the organisation externally where appropriate ] Requirements: Machine learning, Machine Learning, Data science, Python, R, GitHub, Cloud platform, AWS, Azure, GCP, Product development, AI Additionally: Employee referral bonus.