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- Tasks: Analyse conversation data to combat fraud and enhance user safety.
- Company: Join a global tech leader focused on AI and social good.
- Benefits: Competitive salary, flexible schedule, medical insurance, and professional development.
- Why this job: Make a real-world impact while working with cutting-edge technologies.
- Qualifications: Bachelor's degree in Computer Science and experience in data analysis.
- Other info: Dynamic team environment with opportunities for career growth.
The predicted salary is between 28800 - 48000 £ per year.
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 are 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.
Responsibilities
- 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.
Requirements
- 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.
Nice to Have
- 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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
Data Analyst with Canadian English in London employer: Grid Dynamics
Contact Detail:
Grid Dynamics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst with Canadian English in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you tackle problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Data Analyst with Canadian English in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your native-level Canadian English skills and any experience you have with data analysis. We want to see how you can leverage your expertise to make a real-world impact!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Analyst role. We love seeing candidates who take the extra step to connect their experience with our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you the perfect fit for this role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Grid Dynamics
✨Know Your Data
Before the interview, brush up on your data analysis skills, especially with Python. Be ready to discuss specific projects where you've manipulated large datasets or collaborated with Machine Learning teams. This will show your practical experience and understanding of the role.
✨Master Canadian English
Since this role requires native-level Canadian English, practice articulating your thoughts clearly and concisely. You might even want to prepare examples of how you've used your language skills in previous roles, particularly in analysing conversation data.
✨Understand Fraud Detection
Familiarise yourself with common scam tactics specific to Canada. Being able to discuss these insights during the interview will demonstrate your proactive approach and genuine interest in the project’s goals.
✨Showcase Problem-Solving Skills
Prepare to share examples of how you've independently tackled analytical problems in the past. Highlight your agentic approach to workflow automation and any experiences that showcase your ability to adapt and thrive in fast-paced environments.
