At a Glance
- Tasks: Analyse data, develop AI models, and create innovative solutions for real-world problems.
- Company: Join a leading financial institution with a focus on data and analytics.
- 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 world using 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 the City of London near Bank. 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 London employer: Ventula Consulting
Join one of the world's leading financial institutions as an AI Data Scientist, where you'll thrive in a dynamic work culture that fosters innovation and collaboration. With a competitive salary package, exceptional benefits, and opportunities for professional growth, this role offers you the chance to make a significant impact while working in the heart of London. Embrace the hybrid work model that promotes work-life balance, and be part of a team that values creativity and analytical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Scientist - (Data & Analytics - CRA/Scorecards) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, AI models, and any cool prototypes you've developed. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, SQL, and cloud-based platforms. Practice explaining complex concepts in simple terms – it’s all about communication!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace AI Data Scientist - (Data & Analytics - CRA/Scorecards) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Data Scientist role. Highlight your experience with data analysis, machine learning, 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 and AI, and how you can contribute to our team. Be sure to mention any specific tools or platforms you've used that relate to the job description.
Showcase Your Projects:If you've worked on any interesting 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!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to see what you bring to the table!
How to prepare for a job interview at Ventula Consulting
✨Know Your Data Inside Out
Before the interview, dive deep into the data analytics projects you've worked on. Be ready to discuss specific datasets, the challenges you faced, and how you derived insights. This will show your potential employer that you can handle the complexities of data analysis and AI development.
✨Showcase Your Technical Skills
Make sure to brush up on your Python and SQL skills. Prepare to discuss your experience with cloud-based AI platforms like Vertex AI and BQML. You might even be asked to solve a technical problem on the spot, so practice coding challenges related to data manipulation and model development.
✨Communicate Clearly and Effectively
Since you'll need to present analytical findings to stakeholders, practice explaining complex concepts in simple terms. Use storytelling techniques to convey the impact of your work. This will demonstrate your ability to communicate effectively with both technical and non-technical audiences.
✨Prepare Questions About the Role
Think about what you want to know regarding the company's approach to AI and data analytics. Ask about their current projects, team dynamics, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.