Data Scientist - Healthcare - 3 - 6 Months - Outside IR35 - Remote

Overview:

SR2 are pleased to partner with a leading London-based consultancy specializing in healthcare product development. We are actively seeking a talented Data Scientist to join our team on a 3-6-month contract (Outside IR35). The successful candidate will be instrumental in data exploration, predictive modeling, and implementing machine learning solutions within the healthcare domain.

Roles & Responsibilities:

Data Scientist: - Utilize advanced analytics and data science methodologies to extract valuable insights from healthcare data.

Data Exploration and Value Extraction: - Conduct thorough data exploration to identify patterns and trends in healthcare datasets.

- Extract actionable value from data to inform decision-making processes

Predictive Modeling: - Develop and implement predictive models to forecast healthcare outcomes and trends.

- Employ machine learning algorithms to enhance predictive analytics capabilities.

Back End Pipeline Building: - Build robust back-end data pipelines to support the flow and processing of healthcare data.

- Ensure the scalability and efficiency of data processing workflows.

Machine Learning & AI Identification and Creation: - Identify opportunities for implementing machine learning and artificial intelligence solutions in the healthcare domain.

- Design and create machine learning models and AI applications to address specific healthcare challenges.

Skillsets:

- Docker:

- Proficiency in using Docker for containerization of data science applications.

- SQL:

- Strong SQL skills for data querying, extraction, and manipulation.

- Python:

- Advanced proficiency in Python for data analysis, modeling, and scripting.

- Machine Learning Libraries (e.g., SKLearn):

- Hands-on experience with machine learning libraries, such as Scikit-Learn, for model development and evaluation.

- Data Science Methodologies:

- Thorough understanding and application of data science methodologies in real-world scenarios.

- Data Cleansing:

- Expertise in data cleansing techniques to ensure the quality and integrity of healthcare datasets.

- Microsoft Azure:

- Familiarity with Microsoft Azure and readiness to transition to Azure for future projects.

Qualifications and Experience:

- Proven experience as a Data Scientist, with a focus on healthcare analytics.

- Demonstrated success in predictive modeling and machine learning applications.

- Strong problem-solving and critical-thinking skills.

- Effective communication skills to convey complex findings to non-technical stakeholders.

Data Scientist - Healthcare - 3 - 6 Months - Outside IR35 - Remote