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1st Central · 6 hours ago

Senior Data Scientist

United States

Full-time

Remote

Senior Level

1st Central is a market-leading insurance company focused on utilizing data and technology to enhance customer service and value. They are seeking a Senior Data Scientist to join their team, where the candidate will apply data science techniques to analyze large datasets, build predictive models, and develop machine learning algorithms to drive meaningful business outcomes.

Financial ServicesInsurance

Growth Opportunities

Responsibilities

You’ll scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems

You’ll perform data analysis and data collection processes that effectively support these services

You’ll continuously develop data sources through testing of external data

You’ll work individually and with team members, other teams and suppliers to deliver data science solutions. Review output of junior team members

You’ll help to identify opportunities across the organisation where data science can add value

You’ll adhere to good coding practices, work within existing risk controls, identify and report potential risks

You’ll comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times

You’ll ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times

Qualification

PythonMachine LearningStatistical ModellingData Science ExperienceSQLAnalytical AptitudeCommunicationTime Management

Required

Proven analytical and statistical modelling skills

Experience using Python

Ability to build and train machine learning models

Current Data Science experience, with Insurance industry exposure being advantageous but not essential

Strong time-management and organisational abilities

Degree in Data Science or another quantitative field

Proven experience in data science and data analysis

Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis

Knowledge of data platforms, and data processing including batch and real-time automation

Knowledge of data structures and schemas, data preparation and cleansing

Experience of machine learning techniques and libraries

Knowledge of data science toolkits and languages, such as R, Python, Scala

Experience of data exploration and visualisation tools

Good knowledge of data query languages, such as SQL, HiveQL, scripting

Knowledge of data integration services and ETL

Analytical and problem-solving aptitude

Understanding of a service-based approach to professional services

Experience delivering through Agile change framework

Good communication skills, both verbal and written

Good time management and organisation skills