At a Glance
- Tasks: Transform raw data into insightful recommendations using Snowflake Cortex.
- Company: Exciting FinTech company focused on innovative AI solutions.
- Benefits: Remote work, competitive pay, and the chance to shape AI technology.
- Other info: Fast-paced environment with opportunities for creativity and growth.
- Why this job: Be at the forefront of AI development and make a real impact.
- Qualifications: Strong experience with Snowflake Cortex and AI technologies.
The predicted salary is between 63000 - 77000 £ per year.
- Data Scientist / AI Engineer
- 6 months | Outside IR35 | Remote
We're currently working with a Fin Tech that is searching for a Data Scientist/AI Engineer that has strong experience working with Snowflake Cortex/Cortex Agents.
They want to create an AI Agent using Snowflake Cortex that can turn raw seller data into insights and recommendations that read like something a person wrote and not a raw report.
Think a sales intelligence engine that can surface the right insights, recommendations and opportunities from huge volumes of data.
You'll own the journey from idea → design → build → production inside Snowflake Cortex.
We're looking for someone with genuine depth across
- → Snowflake Cortex
- → Cortex Agents
- → Cortex Analyst
- → Cortex Search
- → Agentic / Generative AI
- → Recommendation-style models
And we're looking for more than someone who has called a Cortex function once!
The environment is fast-paced and fairly ambiguous.
Data Scientist in Oxford employer: Cognify Search
As a remote-first analytics specialist based in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to take ownership of their projects and drive meaningful change. With a strong focus on professional growth, we offer ample opportunities for skill development and career advancement, all while working with cutting-edge data technologies and collaborating closely with clients. Join us to be part of a forward-thinking team where your contributions are valued and have a direct impact on business success.
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We think this is how you could land Data Scientist in Oxford
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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 Cognify Search.
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We think you need these skills to ace Data Scientist in Oxford
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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Craft a Tailored Cover Letter:For a full-time role at Cognify Search, 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 Cognify Search. 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 Cognify Search
✨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.
