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Data Scientist

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: British Council
Full Time position
Listed on 2026-08-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 49000 - 65000 USD Yearly USD 49000.00 65000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

We support peace and prosperity by building connections, understanding and trust between people in the UK and countries worldwide. For 90 years we have shaped brighter futures through education, arts, culture, language, and creativity.

Working with people in over 200 countries and territories, we are on the ground in more than 100 countries.

We connect. We inspire.

Role Purpose

To maintain and develop advanced data science solutions to help Marketing & Communications achieve its strategic and commercial objectives. The role will focus on applying advanced analytics, machine learning, and statistical techniques to deliver actionable insights and innovative products.

Marketing and Communications at the British Council is a strategic function which drives awareness, understanding and engagement with us across our diverse audiences. We use insight, knowledge and analysis of our market and our customers to engage them with our work and our products and services in the most impactful and effective way. We lead the development of our brand and use our expertise to tell inspiring stories to enhance our global reputation, build lifelong relationships, engage our staff and demonstrate our impact.

Role

Accountabilities Data Science Delivery and Innovation

Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges. Prepare, clean, and manipulate large datasets for analysis and modelling, and lead experiments to test hypotheses that improve product or service performance. Ensure that all models and analytical outputs comply with data ethics, governance, and privacy standards.

Data Engineering and Solution Implementation

Collaborate with data engineers to build scalable data pipelines that support modelling and reporting. Work closely with product teams to integrate data science solutions into operational workflows, ensuring models are robust, scalable, and deliver measurable business value.

Business Partnership and Stakeholder Engagement

Translate business requirements into well-defined data science problems with clear success metrics. Communicate analytical findings, insights, and recommendations effectively to a wide range of stakeholders, including non-technical audiences, to support evidence-based decision-making.

Leadership, Collaboration and Professional Contribution

Build data science capability across teams by mentoring colleagues, sharing best practices, and promoting high standards of analytical delivery. Contribute to the British Council's data science community and represent the organisation externally where appropriate, supporting collaboration and the advancement of data science practice.

Knowledge & Experience Education

Essential:

  • Degree in data science, statistics, computer science, mathematics, or a related field.
  • Certifications in machine learning, cloud technologies, or analytics (e.g., AWS Certified Machine Learning, Tensor Flow Developer) desirable but not required.
  • Evidence of continuous professional development in data science techniques and practices.
Experience

Essential:

  • Proven experience (3+ years) in data science or advanced analytics roles.
  • Demonstrable programming skills in languages such as Python (preferred) or R.
  • Experience with machine learning techniques and statistical modelling.
  • Proficiency in using data visualisation tools to communicate findings.
  • Experience working with large, complex datasets.
  • Understanding of data ethics, privacy, and governance principles.
  • Ability to explain complex technical concepts to non-technical audiences.
  • Experience working in cross-functional teams and collaborative environments.
  • Experience of applying version control in Git Hub and of collaborating with others on codebases.
  • Experience with in a marketing environment.

Desirable:

  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Experience with modern data engineering tools and frameworks.
  • Knowledge of Agile methodologies and product development life cycles.
  • Experience of working with ML or AI Engineers.
Important Information
  • Location:

    Warsaw, Poland
  • Contract Type:
    Indefinite
  • Pay band:
    Grade 8
  • Monthly Salary Band (Gross): 16,300

    PLN – 21,700

    PLN
  • Department:
    English…
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