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- Tasks: Analyse conversation data to combat fraud and enhance detection strategies.
- Company: Join Grid Dynamics, a leader in tech consulting and AI solutions.
- Benefits: Competitive salary, flexible schedule, medical insurance, and professional development.
- Why this job: Make a real impact protecting millions from scams using cutting-edge technology.
- Qualifications: Bachelor’s degree in Computer Science and experience as a Data Analyst.
- Other info: Work with a motivated team on innovative projects in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Join a pioneering project focused on real-time detection of fraudulent calls for a leading mobile OS and major phone manufacturer. This initiative involves conversation analysis to combat scam tactics, leveraging cutting-edge AI and data technologies. We are expanding our team and seeking a talented French-speaking Data Analyst with broad language and country experience, eager to work on impactful solutions that protect millions of users worldwide.
Responsibilities
- Utilize native-level proficiency in the French language 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 France 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 France.
- 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.
Data Analyst with French 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 French in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using real-world examples from your experience to showcase your skills and how they align with the role.
✨Tip Number 3
Show off your skills! Create a portfolio or GitHub repository with projects that highlight your data manipulation and analysis abilities. This gives potential employers a tangible look at what you can do.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst with French in London
Some tips for your application 🫡
Show Off Your French Skills: Since we're looking for a Data Analyst with native-level French proficiency, make sure to highlight your language skills right at the top of your application. Use examples that showcase your ability to analyse conversation data in French, as this is key to the role.
Tailor Your Experience: When you’re writing about your past experiences, focus on those that relate directly to data analysis and working with Machine Learning teams. We want to see how your background aligns with our project goals, so don’t hold back on the details!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the role without wading through 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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Grid Dynamics
✨Brush Up on Your French
Since this role requires native-level proficiency in French, make sure to practice your language skills. Review common phrases and terminology related to data analysis and fraud detection to ensure you can communicate effectively during the interview.
✨Know Your Data Tools
Familiarise yourself with Python and any relevant data technologies mentioned in the job description. Be prepared to discuss your experience manipulating large datasets and how you've collaborated with Machine Learning teams in the past.
✨Understand Scam Tactics
Research common scam tactics specific to France. Being able to discuss these insights will show your potential employer that you're not just technically skilled but also understand the context of your work and its impact on users.
✨Show Your Problem-Solving Skills
Prepare examples of how you've independently tackled analytical problems in previous roles. Highlight your agentic approach to workflow automation and how it has led to successful outcomes in your projects.
