Informatica Senior Data Scientist - Product Innovation 

United Kingdom 

902247898

You will report to the Director of Development.

As a part of the Product organisation you will work with product managers and engineers to explore product innovations arising from emerging technologies and new customer use cases.

Python, pandas, PyTorch, Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, Google VertexA

• Research and Develop subject matter expertise in product innovation areas including unstructured data management, AI governance and protected cross-entity data sharing.
• Conduct technical feasibility assessments to determine the strengths and limitations of emerging technologies.
• Recommend product enhancements to support the integration of new technology and to enhance our offering for new customer use cases including generative AI.
• Interact with product, services and sales teams to identify potential new customer trends and future product gaps over a 1-3 year horizon.

• Strong technical expertise in data-related areas, including data preparation, model training, and performance evaluation for machine learning/AI.
• Passion for exploring and evaluating new technologies for data management and governance, with the ability to compare approaches to find the best fit for use cases.
• Effective technical communication, able to advocate for solutions and explain them clearly to non-experts.
• Proficient in Python, including libraries like pandas, PyTorch, matplotlib, and Seaborn, with experience in data science and engineering.
• Experience with cloud service technologies and experienced with enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google VertexAI.

• Postgraduate level educational background (Science, Technology, Engineering or Mathematics)

• BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience

• Minimum 5+ years of relevant professional experience

• Comprehensive health, vision, and wellness benefits (Paid parental leave, adoption benefits, life insurance, disability insurance and 401k plan or international pension/retirement plans
• Flexible time-off policy and hybrid working practices
• Equity opportunities and an employee stock purchase program (ESPP)
• Comprehensive Mental Health and Employee Assistance Program (EAP) benefit