At a Glance
- Tasks: Analyse data, develop AI models, and create innovative solutions for real-world problems.
- Company: Join a leading global financial institution with a focus on innovation.
- Benefits: Competitive salary up to £90K, hybrid work, pension, and bonus.
- Other info: Great career development opportunities in a dynamic and collaborative environment.
- Why this job: Make an impact in the finance sector while working with cutting-edge AI technology.
- Qualifications: Degree in a numerical field, experience in data analysis, and proficiency in Python and SQL.
The predicted salary is between 70000 - 90000 € per year.
I'm helping one of the world's great financial institutions recruit a Data & Analytics AI Consultant to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data.
Responsibilities
- Conduct in-depth analysis of data available to the company and its partners.
- Collaborate with product managers to conduct market research and validate product needs.
- Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML.
- Contribute to the creation of business cases for proposed AI solutions.
- Evaluate the feasibility and potential impact of AI projects.
- Provide technical guidance and support to Junior Analysts.
- Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions.
- Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise.
- Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
- Lead the development of projects with multiple deliverables, leveraging business and technical expertise.
- Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc., encouraging enhanced solutions.
- Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users.
- Communicate results to external stakeholders and mid-level leadership, able to communicate business impact of work.
- Consultants are responsible for providing internal & external clients with analytical support and project analysis. This includes answering client queries related to data characteristics, scores and also involvement in analytical projects, for example, credit strategy development, model development and other bespoke analytics to solve client specific problems.
Qualifications
- Relevant numerical degree with a 2:1 or above.
- Solid experience in data analysis, machine learning, and AI development.
- Hands-on experience with cloud-based AI platforms and tools.
- Proficiency in programming languages such as Python and SQL.
- Credit Bureau experience & Scorecards an advantage.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a team.
- Good communication and presentation and visualisation skills.
- Strong experience in a related analytical role.
- Proven track record of designing and developing predictive models in real-world applications.
- Experience with model performance evaluation and predictive model optimization for accuracy and efficiency.
- Cloud certification strongly preferred.
- Additional role-based certifications may be required depending upon region/BU requirements.
- Experience in programming languages SQL and Python in a credit risk environment.
- An innovative mindset and attention to detail.
This is a hybrid position requiring 3 days in the office and 2 work from home. Office is in Leeds. Salary is a basic up to £90K + exceptional package, pension, bonus. The salary is a basic between £70-90K depending on experience. This is a fantastic opportunity to work for one of the world's great finance companies in a very visible and important position with great career development prospects.
AI Data Scientist - (Data & Analytics - CRA/Scorecards) in Leeds employer: Ventula Consulting
Join one of the world's leading financial institutions as an AI Data Scientist in Leeds, where innovation meets opportunity. With a strong focus on employee growth, you will benefit from a collaborative work culture that encourages creativity and technical excellence, alongside a competitive salary and exceptional benefits package. This hybrid role not only offers the chance to work on cutting-edge AI projects but also provides a clear pathway for career advancement in a dynamic and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Scientist - (Data & Analytics - CRA/Scorecards) in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI models and data analysis projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science. We all know that confidence is key, so get comfortable talking about your experiences and insights.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Data Scientist - (Data & Analytics - CRA/Scorecards) in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with data analysis, AI development, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our team. Don't forget to mention specific tools or platforms you've used, like Python or Vertex AI.
Showcase Your Projects:If you've worked on any cool projects, especially those involving predictive models or AI solutions, make sure to include them in your application. We love seeing real-world applications of your skills and creativity!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it's super easy to do!
How to prepare for a job interview at Ventula Consulting
✨Know Your Data Inside Out
Before the interview, dive deep into the data analysis techniques and AI models relevant to the role. Be prepared to discuss your past experiences with data scraping, combining, and managing datasets, as well as any specific projects where you derived insights from complex data.
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Bring examples of how you've used these languages in real-world applications, especially in developing predictive models or working with cloud-based AI platforms like Vertex AI.
✨Communicate Clearly and Effectively
Practice explaining your analytical findings in a way that’s easy to understand for non-technical stakeholders. Use storytelling techniques to convey the business impact of your work, as this will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of examples where you've worked with product managers or other teams. Be ready to discuss how you contributed to market research or validated product needs, showcasing your teamwork and communication skills.
