Data Scientist - Synthetic Data / Generative AI London / Hybrid GBP 50-75,000 depending on experience - (posted Oct 1 2024)

Company: Spalding Goobey
Advertisers Ref: 655929
MrWeb Ref: 161677

Job Spec: Our client is a multinational marketing research consultancy exploring data driven advances through the development of synthetic data. We seek a data scientist to join the team, bring specific and targeted skills in Generative AI and developing machine learning models. You will collaborate with a talented team of data scientists and engineers to explore and validate methodologies, and develop innovative solutions that harness the potential of synthetic data to enhance our clients data collection offerings.


What you will be doing:

• Design, implement, and evaluate synthetic data generation algorithms and models, including Generative Adversarial Networks (GANs)
• Test and validate the effectiveness of synthetic data in replicating the statistical properties and patterns of real-world data
• Develop and test synthetic data use cases
• Set up metrics and frameworks to assess the quality, diversity, and utility of synthetic data generated
• Stay abreast of latest advancements and research in generative AI & synthetic data techniques.
• Conduct research and experiments to push the boundaries of synthetic data capabilities.
• Work closely with data engineers, analysts, and other stakeholders to integrate synthetic data solutions into projects, teams and Service Lines.

• You have a PhD or a Master's in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline
• You have a solid foundation in statistical analysis, data mining, and machine learning, with experience applying these skills to real-world datasets.
• You are proficient in Python and have experience with data science libraries like pandas, scikit-learn, and TensorFlow or PyTorch
• You have a deep understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs) and other techniques such as SMOTE
• You are knowledgeable about the ethical considerations and best practices in generating synthetic data
• You are familiar with data visualisation tools (e.g., Matplotlib, Seaborn, or Tableau) and can effectively present data insights and findings
• You have experience with big data technologies and cloud platforms (e.g., AWS, Google Cloud, Azure) and can work with large-scale datasets
• You have a good understanding of data privacy regulations and best practices, ensuring that synthetic data projects comply with legal and ethical standards.

Who to contact: Email your CV (in confidence) to sga@spalding-goobey.co.uk, quoting the reference above, or contact Andrew Goobey, Andrew Mercer, Caroline Rock or Rebecca Meaton on 020 7287 7237

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