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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: Enjoy a competitive salary, flexible schedule, and comprehensive benefits package.
- Why this job: Make a real impact by protecting millions from scams using cutting-edge technology.
- Qualifications: Bachelor’s degree in Computer Science and experience as a Data Analyst required.
- 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 employer: Grid Dynamics
Contact Detail:
Grid Dynamics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst with French
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Grid Dynamics. A friendly chat can open doors and give you insider info on what they're looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data analysis work, especially any projects involving Python or Machine Learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your French language skills and be ready to discuss how you've tackled fraud detection or scam tactics in past roles. Confidence in your language ability can really impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Grid Dynamics.
We think you need these skills to ace Data Analyst with French
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Python, data manipulation, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Show Off Your French Skills: Since this role requires native-level proficiency in French, don’t forget to showcase your language skills! Include any relevant experiences where you’ve used French in a professional context.
Be Specific About Your Experience: When detailing your past roles, be specific about your experience with Machine Learning teams and data technologies. We love seeing concrete examples of how you've contributed to projects in the past.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 before the interview. Familiarise yourself with industry-specific terminology and be ready to discuss your experience in French, as it will demonstrate your fluency and confidence.
✨Know Your Data Tools
Get comfortable with Python and any data technologies mentioned in the job description. Be prepared to discuss specific projects where you've manipulated large datasets or collaborated with Machine Learning teams. Showing your technical prowess will impress the interviewers.
✨Understand Scam Tactics
Research common scam tactics specific to France. Being able to discuss these insights during your interview will show that you understand the context of the role and are genuinely interested in contributing to the project’s success.
✨Show Your Problem-Solving Skills
Prepare examples of how you've independently tackled analytical problems in the past. Highlight your agentic approach to workflow automation and troubleshooting, as this will resonate well with the team’s expectations for a proactive Data Analyst.
