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For Companies At a Glance
- Tasks: Lead AI projects, develop ML models, and analyse data for smarter financial solutions.
- Company: InvestCloud is a leader in wealth technology, transforming financial services with innovative digital solutions.
- Benefits: Join a diverse team, work with cutting-edge tech, and enjoy a collaborative culture.
- Why this job: Make a real impact in finance while working with the latest AI advancements in a supportive environment.
- Qualifications: MSc in a relevant field and 5+ years of experience in Data Science and Machine Learning required.
- Other info: Office-based role with flexible working options; occasional travel may be needed.
The predicted salary is between 43200 - 72000 £ per year.
About InvestCloud
InvestCloud is at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology.
About the Team
You will be joining the newly formed AI, Data & Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on “enhanced intelligence”. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team.
We are seeking a Senior Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role you will integrate AI and ML solutions into the InvestCloud product suite.
Key Responsibilities
- Implement applications powered by Generative AI and Machine Learning models and deploy them in production.
- Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment.
- Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders.
- Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI.
- Analyse large datasets to identify patterns, trends, and insights that can inform business decisions.
- Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud’s business objectives.
Required Skills
- MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience.
- 5 years + of relevant professional experience in Data Science, Machine Learning and AI.
- Outstanding communications skills in English.
- Proficiency in programming in Python.
- Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain).
- Knowledge of data preprocessing, feature engineering and model evaluation metrics.
- Experience using large language models, generative AI and agentic frameworks.
- Experience in database technologies (Oracle, PostgreSQL).
- Experience working with Snowflake and/or Databricks or similar tools.
- Working experience developing and deploying Machine Learning models in production.
- Working experience with Git and Docker.
- Strong communication skills to engage with non-technical stakeholders.
- Ability to work in a fast-paced environment, working across multiple projects simultaneously.
- Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect.
Preferred skills
- Working experience with Vector Database Technologies.
- Experience with cloud platforms such as AWS, GCP, or Azure.
What do we offer
Join our diverse and international cross-functional team, comprising data scientists, product managers, business analysts and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience.
Location and Travel
The ideal candidate will be expected to work from the office on a regular basis (3 days minimum per week). Occasional travel may be required.
Compensation
The salary range will be determined based on experience, skills, and geographic location. Please note Visa sponsorship is not available for this role.
Equal Opportunity Employer
InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
Senior AI Data Scientist employer: InvestCloud
Contact Detail:
InvestCloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in Machine Learning and Generative AI. This will not only help you during interviews but also demonstrate your passion for the field and your commitment to staying updated.
✨Tip Number 2
Network with professionals in the AI and Data Science community, especially those who work in financial technology. Engaging in discussions or attending relevant meetups can provide insights into the industry and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented Machine Learning models. Be ready to explain your thought process, the challenges you faced, and how your solutions delivered business impact.
✨Tip Number 4
Showcase your ability to communicate complex technical concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, as this skill is crucial for the role and will set you apart from other candidates.
We think you need these skills to ace Senior AI Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, Machine Learning, and Generative AI. Focus on specific projects where you've delivered business impact and detail your technical skills, especially in Python and relevant frameworks.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with InvestCloud's mission of redefining financial services through technology, and mention any relevant experience with AI and ML models.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your problem-solving abilities. Highlight situations where you've successfully interpreted data and communicated findings to both technical and non-technical stakeholders.
Highlight Continuous Learning: Mention any recent courses, certifications, or projects that showcase your commitment to staying updated with advancements in Machine Learning and AI. This will show InvestCloud that you are proactive and passionate about your field.
How to prepare for a job interview at InvestCloud
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Machine Learning frameworks like Scikit-learn and LLM frameworks such as Langchain. Bring examples of projects where you've successfully deployed ML models in production, highlighting the impact they had on business outcomes.
✨Communicate Effectively
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare to share how you’ve communicated findings from data analyses in previous roles, ensuring clarity for all audiences.
✨Stay Updated on Industry Trends
Demonstrate your knowledge of the latest advancements in AI and Machine Learning. Be ready to discuss recent developments in generative AI and natural language processing, and how these can be applied to enhance InvestCloud's offerings.
✨Emphasise Team Collaboration
Highlight your ability to work in a fast-paced environment and collaborate effectively with diverse teams. Share examples of how you've fostered open communication and mutual respect in past projects, as this aligns with the company’s values.
