At a Glance
- Tasks: Create innovative agents that interact with code and design software for generative simulation.
- Company: Leading AI company focused on cutting-edge technology and creativity.
- Benefits: Competitive pay, flexible hours, remote work options, and growth opportunities.
- Other info: Dynamic work environment with opportunities to collaborate on exciting projects.
- Why this job: Join a team pushing the boundaries of AI and make a real impact in tech.
- Qualifications: Experience with AI tools, strong problem-solving skills, and a passion for innovation.
The predicted salary is between 72000 - 88000 £ per year.
What You’ll Do
- Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation.
- Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools.
- Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision-language-based agents.
- Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments.
- Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting-edge research into robust, production-ready systems.
- Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning.
What You’ll Bring
- A bold and imaginative vision for a next-generation paradigm of physical data synthesis— combining simulation, generative models, and autonomous agents.
- Deep curiosity and strong technical ownership, with a track record of driving complex, open-ended projects from concept to implementation.
- Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis.
- Passion for inventing creative solutions at the edge of AI, simulation, and physical reasoning, with an eagerness to build systems that generate high-fidelity, useful data for embodied intelligence.
- Bonus: Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators).
Data Agent in London employer: Genesis
At Technip Energies, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. Our London office is at the forefront of the energy transition, providing employees with unique opportunities to contribute to high-impact projects in the Power Generation sector while enjoying a supportive environment that prioritises professional growth and environmental responsibility.
StudySmarter Expert Advice🤫
We think this is how you could land Data Agent in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Genesis!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Agent at Genesis.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Genesis.
✨Apply Directly through Our Website
When you find a suitable opening like Data Agent at Genesis, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Agent 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Genesis, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Genesis. 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 Genesis
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Genesis!
✨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.
