Python Job: Junior Data Scientist

At Oracle Health we are addressing the most complex healthcare challenges by creating products and technologies that allow healthcare professionals to provide the best patient care possible. Our Data Insights Team in the UK is responsible for the development of healthcare data science models and analytics across the UK and Europe. We work with electronic patient record data to support clinical and operational reporting needs of health and care professionals across integrated care systems. We are helping our clients to better understand, manage and engage populations to deliver a higher quality of care at a lower cost, and accelerate and support the delivery of new models of care. Our world-leading technology population health platform aggregates data from multiple sources enabling health and care systems to use this data to identify, score and predict risks, targeting the individual through to population-wide health improvement campaigns and interventions.

Junior Data Scientist role is an entry-level position for those who are new to data science and are developing their expertise with support from the broader data science team. As a Junior Data Scientist, you will support feasibility studies to identify data availability, quality and modeling requirements and dependencies. You will explore, visualise, analyse, discover or engineer explanatory features in high-dimensionality collections of data that relate to clinically, financially, and/or operationally important use-cases using statistical and machine learning techniques.

If you’re out to change the world in ways that matter, we want to hear from you. As an Oracle Health Associate you will be joining an inclusive, diverse, social and innovative workplace that has a strong emphasis on developing talent and promotion from within. You will be rewarded for your hard work with a competitive salary and a host of additional benefits including generous insurance and pension plans, season ticket loan scheme, active lifestyle reimbursements and cycle to work programs. We are happy to consider flexible working options for many of our jobs, and will always work with you to keep your work life and home life balanced.

In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.

That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

Oracle is an Equal Employment Opportunity Employer * . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

With support from senior data scientists, you will apply data science development lifecycle methodology as appropriate to the healthcare use case to design, train, evaluate, implement and monitor machine learning models. You will work alongside the Data Insights Team to deploy the model into analytics products. You will communicate the insights, implications, limitations, dependencies, and other deployment guidelines of a model or data analysis result at all levels internally and externally including executive decision makers, end users and technical audiences. You will be responsible for monitoring and maintaining existing data science products ensuring they are calibrated for their target populations and outcomes.

Required Qualifications:

• Bachelor’s degree in Data Science, Analytics, Mathematics, Statistics, Computer Science, Software Engineering, Biomedical Engineering, Physics or related field, or 4 years equivalent relevant work experience

Preferred Qualifications:

• Master’s degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, Software Engineering or related field
• Good understanding of data science development lifecycle, including design, development, evaluation, implementation and monitoring of machine learning models
• Knowledge of data science tools and programming languages such as R, Python, SQL
• Strong interest in working in healthcare
• Strong communication and presentation skills, and ability to explain sophisticated topics in straightforward terms

With support from senior data scientists, you will apply data science development lifecycle methodology as appropriate to the healthcare use case to design, train, evaluate, implement and monitor machine learning models. You will work alongside the Data Insights Team to deploy the model into analytics products. You will communicate the insights, implications, limitations, dependencies, and other deployment guidelines of a model or data analysis result at all levels internally and externally including executive decision makers, end users and technical audiences. You will be responsible for monitoring and maintaining existing data science products ensuring they are calibrated for their target populations and outcomes.

Required Qualifications:

• Bachelor’s degree in Data Science, Analytics, Mathematics, Statistics, Computer Science, Software Engineering, Biomedical Engineering, Physics or related field, or 4 years equivalent relevant work experience

Preferred Qualifications:

• Master’s degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, Software Engineering or related field
• Good understanding of data science development lifecycle, including design, development, evaluation, implementation and monitoring of machine learning models
• Knowledge of data science tools and programming languages such as R, Python, SQL
• Strong interest in working in healthcare
• Strong communication and presentation skills, and ability to explain sophisticated topics in straightforward terms