Senior Data Scientist

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Oversee intricate data analysis to derive actionable insights and aid in strategic decision-making.

• Utilize advanced statistical methodologies, including hypothesis testing, regression analysis, and time-series modeling.

• Design and enhance advanced SQL queries for the analysis of large and intricate datasets.

• Employ Python for data wrangling, analysis, modeling, and automation tasks.

• Recognize trends, risks, and opportunities through the analysis of healthcare and operational data.

• Generate visualizations and reports to convey findings effectively to diverse audiences.

• Collaborate with stakeholders to comprehend business challenges and convert them into analytical solutions.

• Influence decision-making through recommendations based on evidence and strategic insights.

• Manage analytical projects and ensure delivery aligns with established objectives and timelines.

• Support and mentor team members to foster ongoing learning and development.

• Ensure that analytical outputs comply with quality assurance and governance standards.

• Promote continuous enhancement in analytical methodologies, tools, and best practices.

⛳️ Requirements

• At least 2 years of experience as a Data Scientist or in a comparable analytics-driven role.

• Strong proficiency in advanced analytics and statistical methodologies.

• Advanced skills in SQL development.

• Proficient in Python, particularly for data wrangling and analysis.

• Experience in analyzing and interpreting complex datasets.

• Exceptional problem-solving and critical thinking abilities.

• Strong skills in stakeholder management and communication.

• Experience in presenting complex findings in a clear and engaging manner.

• Proven experience in leading projects, workstreams, or analytical initiatives.

• Eligibility to work in the UK.

• Familiarity with data visualization tools such as Power BI (desirable, not mandatory).

• Understanding of data governance, quality assurance, and analytical best practice frameworks (desirable, not mandatory).

• Experience in delivering insights within complex program or transformation settings (desirable, not mandatory).

🏝️ Benefits

• Competitive salary.

• Ongoing training opportunities.

• Mentorship support.

• Career advancement prospects.

• Collaborative team atmosphere.

• Engagement in real client projects.

• A culture that promotes learning and innovation.

• Training programs aimed at enhancing technical skills.

• Onsite management.

• Continuous mentoring from _nology.