At a Glance
- Tasks: Analyse data and develop insights to enhance AI safety and digital culture.
- Company: Join Grid Dynamics, a leader in technology consulting and AI solutions.
- Benefits: Enjoy a competitive salary, flexible schedule, and comprehensive benefits package.
- Other info: Collaborate with a motivated team on cutting-edge projects in a dynamic environment.
- Why this job: Be at the forefront of AI safety and make a real impact on future technologies.
- Qualifications: Expert English proficiency and experience in data analysis and AI methodologies.
The predicted salary is between 63000 - 77000 £ per year.
Are you a native British English speaker with a passion for data, safety, and digital culture?
Do you want to be at the forefront of AI safety evaluation and help shape the future of responsible AI development?
If so, we have an exciting opportunity for you!
Join our client’s team as a Safety Insights Analyst and work on cutting-edge projects that make a real impact.
Responsibilities
- Provide Market Expertise: Support specific digital storefronts by providing deep language, cultural, and market expertise for the UK English locale.
- Analyse Data: Apply statistical and computational methods to identify patterns, trends, and loss patterns in quantitative data.
- Develop Tooling: Design and build dashboards, scripts, and workflows to streamline evaluation and reporting processes.
- Drive Insights: Translate qualitative and quantitative findings into actionable insights and strategic guidance for product and engineering teams.
- Stress-Test Models: Define dataset criteria and construct robust adversarial and stress-test datasets to evaluate system vulnerabilities.
- Define Frameworks: Develop evaluation frameworks that capture nuanced safety criteria, ensuring strict fidelity to safety policies.
- Scale Evaluations: Guide the development of automated evaluation pipelines to collect, automatically judge, and analyse model outputs at scale.
Requirements
- Language Proficiency: Expert proficiency in English (UK), with a deep understanding of regional cultural nuances.
- Education: Bachelor’s degree in Data Science, Computer Science, Data Analytics, or a related technical field.
- Red Teaming: Expertise in AI red teaming methodologies, vulnerability discovery, and associated reporting strategies.
- Technical Skills: Intermediate to advanced proficiency in Python for data analysis (e. g., pandas, Num Py, Jupyter) and familiarity with SQL for data retrieval.
- Data Experience: Proven experience working with large-scale datasets and interpreting complex data (including identifying loss patterns).
- AI/ML Experience: Experience working with Large Language Models (LLMs) or generative AI systems.
- Guidelines/Annotation
- Task
Design: Hands-on experience with guidelines and annotation task design and execution, including best practices for culturally and linguistically appropriate localisation across languages.
- Collaboration: Proven experience working effectively with cross-functional, multi-domain, and multilingual experts.
- Content Resilience: Comfort and resilience working with sensitive topics and trust & safety content.
- Willingness to work up to 8 PM UK time
- Nice to have
- Data Visualisation: Experience utilising Business Intelligence (BI) tools (e. g., Tableau, Power BI) for data visualisation and reporting.
- 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
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 & Dev Ops, 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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Safety Insight Analyst with British English (native speaker level) in London employer: Grid Dynamics
Grid Dynamics is an exceptional employer, offering a dynamic work environment where innovation thrives. As a Senior C# / WPF Engineer, you'll engage in cutting-edge projects within a collaborative team, benefiting from a competitive salary, flexible schedules, and comprehensive professional development opportunities. Our commitment to employee growth, coupled with a strong emphasis on engineering quality and a supportive culture, makes this an ideal place for those looking to make a meaningful impact in the financial technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Safety Insight Analyst with British English (native speaker level) in London
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We think you need these skills to ace Safety Insight Analyst with British English (native speaker level) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Grid Dynamics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Grid Dynamics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
