Job Title: Data Scientist

Introduction:

Are you a talented and passionate Data Scientist looking to make a real impact?Clientis seeking a highly skilled individual to join our dynamic and innovative team. 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 our customers. 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!

Hybrid Statement:

AtClient, we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team, and our customers. You’ll work at least 40% of your week away from home, either at one of our office locations, visiting clients, or attending industry events.

What you’ll be doing:

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

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

• Take models from proof of concept through the entire productionization lifecycle, including optimization, scaling, deployment, performance evaluation, and maintenance using MLOps capabilities.

• 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 experience within a data science role.

• Demonstrable 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, TensorFlow, and PySpark.

• Good understanding of industry-standard MLOps capabilities.

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

Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we’re able to effectively manage interest. Therefore, if you’re interested in joining us atClient, please don’t hesitate to apply.