Data Scientist - ML & AI projects - 12-month FTC

Competitive annual salary of between £50,000 and £65,000 dependent on experience

Hybrid working - Bristol office base (2 days a week currently, expected to increase to 3 days)

Reference J12885

Are you a talented and passionate Data Scientist looking to make a real impact in the healthcare industry?

Our client is seeking a highly skilled individual to join our dynamic and innovative team on a 12-month Fixed Term Contract. You'll have the opportunity to leverage your expertise in data analysis and machine learning to drive actionable insights and contribute to the development of cutting-edge solutions that improve the health and well-being of their customers.

What you'll be doing:

• Gather and clean large volumes of structured and unstructured data from various sources.

• Apply statistical, machine learning and traditional and generative AI techniques to analyse data, identify patterns, and develop predictive models.

• Create visual representations of data to communicate insights and findings to non-technical stakeholders.

• Interpret data analysis results to provide actionable insights and recommendations for business decisions.

• Work closely with cross-functional teams to understand business needs, develop solutions, and implement data-driven strategies.

• Stay updated with the latest trends and advancements in data science, machine learning, and related technologies to improve methodologies and processes.

• Ensure compliance with data privacy regulations and ethical standards in handling sensitive information.

What you'll bring:

• Previous applied experience within a data science role.

• Demonstratable knowledge of extracting business value from data science using both quantitative and qualitative metrics.

• Strong mathematical and statistical background.

• An ability to understand and translate data into actionable insights for the business.

• Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark.

• Good understanding of industry standard MLOps capabilities.

• Understanding of the financial industry, in particular insurance, would be advantageous.

If you're excited about the prospect of using data to make a meaningful difference in people's lives, we want to hear from you