Finance Data Scientist at Euromonitor leveraging data analytics for financial decision - making. Collaborating across teams to build insights and improve operational performance using advanced analytics.
About the role
- Senior Data Scientist developing data science solutions and supporting business goals at Syneos Health. Collaborating on innovative products and providing actionable insights from large datasets.
Responsibilities
- Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
- Interact with product and service teams to identify questions and issues for data analysis and experiments.
- Create, document, and manage templates and standard operating procedures for algorithms, code repositories, rules, manuals, and other assets.
- Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
- Assist team in identifying meaningful insights from large data and metadata sources, interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers.
- Have broad expertise or innovative knowledge, use skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways.
- Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
- Manage configuration, curation, and cataloging of internal and external tech and data resources and ‘always-on’ data vendors to ensure timely product delivery and innovation.
- Mentor and coach junior team members across the business.
Requirements
- Masters in a STEM field required, PhD preferred.
- Proficiency with a programming language (e.g., Python, R) and a database language (e.g., SQL).
- Must be organized, detail oriented and work effectively in a fast-paced environment.
- Strong data analysis and data modelling skills, good knowledge of statistics.
- Demonstrated ability to independently execute projects.
- Able to influence and unify the direct team and peers, as well as interact effectively as a strategic partner with senior management.
- Detailed understanding of how data science models are developed.
- Independent problem-solving and grit. Willingness to own one’s work, and confidence to push best practices. Strong attention to detail.
- Experience with healthcare or B2B/B2C marketing.
Benefits
- We are passionate about developing our people, through career development and progression;
- Supportive and engaged line management;
- Technical and therapeutic area training;
- Peer recognition and total rewards program.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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