Full-Time · Hybrid AI Risk & Data Science Consultant

Hybrid AI Risk & Data Science Consultant

Ventula Consulting Ventula Consulting
Full-Time Home office (partial) Data ScrapingData ManagementAI Model Development
Employment
Full-Time
Remote
Home office (partial)
Salary
90000 - 90000 £ / year (est.)

About the role

Ventula Consulting in London is seeking an AI Consultant focused on Credit Risk & Data Science to scrape, combine, and manage data from diverse sources and develop prototypes to answer complex questions.

You will build AI models, work with Vertex AI and BQML, guide junior analysts, and present insights to senior stakeholders.

The hybrid role requires 3 days in-office in the City of London and 2 days remote, with a salary up to £90K plus pension and bonus.

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Your tasks

Scrape and manage data, build AI models, and present insights to stakeholders.

Your profile

Experience in AI, data science, and strong analytical skills.

What's also included

Up to £90K salary, pension, bonus, and hybrid work model.

Tech stack & ways of working

Data Scraping Data Management AI Model Development Vertex AI BQML Guidance and Mentoring Presentation Skills Stakeholder Engagement Analytical Skills Problem-Solving Skills Credit Risk Analysis Prototyping

Hybrid AI Risk & Data Science Consultant employer: Ventula Consulting

As an SAP Finance Data Lead, you will join a dynamic and innovative team at one of the UK's most successful companies, known for its commitment to employee growth and development. With a flexible work culture that allows for 2 days of remote work, you will benefit from a collaborative environment that values diverse perspectives and encourages professional advancement. This role not only offers competitive compensation but also the chance to make a meaningful impact in the life sciences and healthcare sectors, ensuring that your contributions are recognised and valued.

View Ventula Consulting profile

Contact Details:
Ventula Consulting Recruitment Team

Your perspectives

Join a dynamic team and tackle complex challenges with cutting-edge AI technology.

StudySmarter Expert Advice

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 Ventula Consulting!

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 Hybrid AI Risk & Data Science Consultant at Ventula Consulting.

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 Ventula Consulting.

Apply Directly through Our Website

When you find a suitable opening like Hybrid AI Risk & Data Science Consultant at Ventula Consulting, 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!

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 Ventula Consulting, 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 Ventula Consulting. 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 Ventula Consulting

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 Ventula Consulting!

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.

Ready for the first step?

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