At a Glance
- Tasks: Analyse conversation data to combat fraud and protect users.
- Company: Join a global tech leader focused on AI and social good.
- Benefits: Competitive salary, flexible schedule, medical insurance, and professional development.
- Other info: Dynamic team environment with opportunities for career growth.
- 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.
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’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.
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 employer: Grid Dynamics
Grid Dynamics is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Analyst in London, you'll have the unique opportunity to work on cutting-edge AI projects aimed at making a positive social impact, all while enjoying a competitive salary, flexible working hours, and comprehensive benefits. With a strong emphasis on professional development and a supportive team environment, Grid Dynamics is dedicated to empowering its employees to grow and thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst with Canadian English
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 and Machine Learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and real-world 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
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 match the job description. We love seeing candidates who understand our needs and can demonstrate how they fit into our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 this exciting opportunity with our team!
How to prepare for a job interview at Grid Dynamics
✨Know Your Data
Before the interview, brush up on your data manipulation and analysis skills, especially with Python. Be ready to discuss specific projects where you've used these skills, as well as any experience you have with Machine Learning teams.
✨Master Canadian English
Since this role requires native-level Canadian English proficiency, practice articulating your thoughts clearly and concisely. You might even want to prepare a few examples of how you've used your language skills in data analysis or communication.
✨Understand Fraud Detection
Familiarise yourself with common scam tactics specific to Canada. Being able to discuss these insights during the interview will show your potential employer that you're not just technically skilled but also aware of the real-world implications of your work.
✨Show Your Problem-Solving Skills
Prepare to share examples of how you've independently tackled analytical problems in past roles. Highlight your agentic approach to workflow automation and how it has led to successful outcomes in your projects.
