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Data Analyst with Canadian English

London, United Kingdom

Join Our Team as a Data Analyst – Canadian English Specialist!

Are you passionate about leveraging data to make a real-world impact?

Do you have native-level Canadian English skills and a knack for analyzing conversations?

We’re seeking a talented Data Analyst to join a pioneering project focused on real-time detection of fraudulent calls for a leading mobile operating system and major phone manufacturer.

This hybrid role based in London offers the chance to work on cutting-edge AI and data technologies, helping to combat scam tactics and protect millions of users worldwide.

About the Client:

Our client is a global leader in technology, specializing in AI, cloud computing, e-commerce, and more. Committed to innovative solutions with a focus on social good, they are driving change at the intersection of technology and safety.

Essential functions

  • Utilize native-level proficiency in Canadian English to analyze conversation data.

  • Collaborate with Machine Learning teams to provide high-quality data for fraud detection models.

  • Manipulate and analyze large datasets using Python and emerging data technologies.

  • Engineer and optimize prompts for Large Language Models (LLMs), understanding their capabilities and limitations.

  • Develop insights into scam tactics specific to Canada to enhance detection strategies.

  • Independently troubleshoot and solve analytical problems within project scopes.

Qualifications

  • Bachelor’s degree in Computer Science or a related field.

  • Proven experience as a Data Analyst or similar role.

  • Strong skills in data manipulation and analysis, especially with Python.

  • Experience working with Machine Learning teams and providing robust data support.

  • Knowledge of current data technologies, methodologies, and prompt engineering for LLMs.

  • Familiarity with scam tactics specific to Canada.

  • Experience developing test automation for ETL/data pipelines is a plus.

  • An agentic approach to workflow automation and problem-solving.

  • Excellent communication skills and ability to work independently.

Would be a plus

  • Master’s degree in Computer Science or related field.

  • Experience with Google tools and technologies related to Python and data analysis.

  • Proven ability to manage multiple projects in fast-paced environments.

  • Strong collaboration skills and adaptability to ambiguity.

We offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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    Don’t see the right opportunity?

    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.