Senior Data Scientist

Summary

Join Inizio Medical, a leading healthcare communications group, as a Senior Data Scientist. You will lead data science projects, build machine learning models, and analyze complex datasets to deliver actionable insights for clients. Collaborate with cross-functional teams to create reusable tools and improve analytical processes. Contribute to new client services and ensure data accuracy. Manage projects, estimate timelines, and identify resource needs. This role requires strong data science skills, experience with various tools and technologies, and excellent communication abilities.

Requirements

• Be proficient in statistical methods, hypothesis testing, and probability theory
• Stay updated on leading-edge tools, technologies, and methods in data analysis
• Understand current data context, processes, and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
• Apply query, data exploration and transformation, and basic visualization techniques to create business insights or improve data quality
• Interpret results of analyses, identify trends and issues, and develop recommendations to support business objectives
• Communicate complex information in an easy-to-understand way and influence others to take action based on the useful information provided
• Demonstrate a curiosity and entrepreneurial mindset
• Collaborate with a team of subject matter experts
• Bachelor’s and/or advanced degree in Statistics, Physics, Economics, Mathematics, Computer Science, or a related field
• Strong background in data science with 5+ years of experience, including experience applying AI, Machine Learning, and Natural Language Processing
• Technical proficiency: experience working with tools and technologies including programming language (eg, Python, R, SQL), data visualization tools (eg, PowerBI, Tableau), utilizing large language models (eg, ChatGPT, Claude, Gemini), experience working with unstructured data in Blob and S3 storage
• Strong foundation in statistical methods and machine learning, including experience with big data processing, predictive modeling, regression techniques, and applying ML/NLP algorithms for tasks such as classification, clustering, entity recognition, and text analysis
• Cloud platform use: experience working with cloud platforms (e.g., AWS, Azure, GCP) and version control tools such as Git, Bitbucket, or similar
• Communication skills: able to communicate their findings and insights clearly and effectively to both technical and non-technical audiences
• Problem-solving skills: ideal candidate should be able to identify problems and develop solutions to improve processes and decision-making based on data
• Attention to detail to ensure accuracy and completeness of data analysis
• Experience with machine learning and natural language processing algorithms
• Understanding of the digital application development cycle, from concept to deployment and iterative refinement
• The ability to work on complex projects of large scope
• The ability to complete work independently after receiving general guidance on new projects
• High degree of intellectual curiosity and ability to absorb new concepts quickly and apply to real world situations
• Proactive contributor in all settings; autonomously, remote, in-office, in team meetings, with clients, in planning and in execution

Responsibilities

• Lead and deliver core data science projects independently, ensuring timely and high-quality outcomes
• Design, build, evaluate, and optimize machine learning models to solve business problems and drive decision-making
• Clean, transform, and manipulate complex datasets to prepare them for analysis and modeling
• Ability to work with unstructured data in various formats (e.g., JSON, XML, TXT, PDF) stored in cloud environments such as Azure Blob Storage or Amazon S3, including extracting, cleaning, and analyzing relevant information
• Develop actionable insights and recommendations from both quantitative and qualitative analyses and effectively communicate them to the Insights team and other stakeholders
• Experience designing and developing reusable, scalable, and maintainable data pipelines to support end-to-end workflows—including data ingestion, transformation (ETL), and downstream analytics processes such as feature engineering, model training, and reporting
• Identify opportunities to refine and improve analytical processes and proactively propose innovative solutions or seek collaborative input to enhance them
• Contribute to the development of new client services and deliverables, leveraging data science capabilities to add value
• Conduct rigorous validation and quality control checks to ensure the accuracy and reliability of data and analytical outputs
• Assess and prioritize business needs and data requirements to align project goals with organizational objectives
• Support a range of projects concurrently
• Manage data science projects, including timeline estimation and the need for additional resources

Preferred Qualifications

• Experience working with tools and technologies Hadoop, Spark, TensorFlow, Apache
• Prior experience working in healthcare, pharmaceuticals, biotech industry
• Familiarity with the application development life cycle and best practices in software deployment

Benefits

• Competitive salary and benefits package, including private medical insurance and company retirement plan
• Flexible, remote-first working environment with occasional travel
• The opportunity to work on cutting-edge, impactful AI projects within a global leader in healthcare communications
• A friendly and informal culture that values curiosity, collaboration, and continuous learning