Senior Data Scientist

Posted Yesterday
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Blue Bell, PA, USA
In-Office
Senior level
Healthtech • Biotech • Pharmaceutical • Manufacturing
The Role
Design, develop and deploy machine learning models and advanced data analyses on large healthcare datasets. Collaborate with cross-functional teams to translate business needs into analytical solutions, mentor colleagues, drive process improvement and operational excellence, and communicate insights through visualization and reporting to inform decision-making.
Summary Generated by Built In
Senior Data Scientist

ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.


As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.


As a Senior Data Scientist at ICON Plc, you will leverage advanced analytical techniques and machine learning models to derive actionable insights from complex data sets.

What You Will Do:

Your experience in process improvement and operational excellence will be key in delivering high-quality outcomes and mentoring colleagues.
Key responsibilities include:

  • Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights.
  • Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making.
  • Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively.
  • Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes.
  • Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement.

Your Profile:

You will have a strong foundation in process improvement and operational excellence, with the experience to work independently and guide others.
Required qualifications and experience:

  • Bachelor's degree in computer science, information technology, or a related discipline
  • Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses.
  • Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R.
  • Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively.
  • Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization.

Employment with ICON is contingent upon having the legal right to work in the country where the role is based.


Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.


Benefits may include:

  • Competitive base salary and performance related incentives
  • Health and wellbeing programmes including medical, dental, and vision coverage where applicable
  • Retirement and pension plans
  • Life assurance and disability coverage
  • Employee assistance programmes and wellbeing resources
  • Learning and development opportunities through structured training and career pathways

Benefits may vary depending on role and location.


Visit our careers site to read more about the benefits ICON offers.


Inclusion and Accessibility

ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.


If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.

Are you a current ICON Employee? Please click here to apply

Skills Required

  • Bachelor's degree in computer science, information technology, or related discipline
  • Extensive experience in data science with a track record of developing and implementing complex models and analyses
  • Proficiency in statistical analysis, machine learning techniques, and data visualization tools
  • Expertise in programming languages such as Python or R
  • Experience developing and deploying machine learning models
  • Strong foundation in process improvement and operational excellence
  • Excellent problem-solving skills and ability to manage multiple projects and priorities
  • Outstanding communication and interpersonal skills for presenting complex data insights
  • Legal right to work in the country where the role is based

ICON plc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ICON plc and has not been reviewed or approved by ICON plc.

  • Healthcare Strength Benefits are described as comprehensive, with medical coverage and wellness initiatives highlighted. Larger sites are also associated with added wellness supports such as onsite fitness options and access to an employee assistance program.
  • Leave & Time Off Breadth Time-off and flexibility provisions are positioned as a meaningful part of the total package, including vacation/annual leave and flexible work scheduling. Flexibility is sometimes cited as helping offset long hours in certain roles.
  • Retirement Support Retirement and savings support is presented as a core component of the benefits package, including offerings such as pension arrangements in some locations and a U.S. 401(k) plan with company match. Financial planning resources are also emphasized as part of broader security benefits.

ICON plc Insights

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The Company
HQ: Dublin
34,685 Employees
Year Founded: 1990

What We Do

Since our foundation in Dublin, Ireland in 1990, our mission has been to help our clients to accelerate the development of drugs and devices that save lives and improve quality of life. We do this by delivering best in class information, solutions and performance, with an unyielding focus on quality at all times. We offer a full range of consulting, development and commercialisation services from a global network of offices in 53 countries. We focus our innovation on the factors that are critical to our clients – reducing time to market, reducing cost, and increasing quality – and our global team of experts has extensive experience in a broad range of therapeutic areas.

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