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Data Scientist

InvestCloud, Inc.
London
5 months ago
Applications closed

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77 Shaftesbury Ave
Soho 5th Floor
London, LND W1D5DU, GBR

IC London England
77 Shaftesbury Ave
Soho 5th Floor
London, LND W1D5DU, GBR

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 3 rd 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
  • At least four years of 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 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
  • Working proficiency in English
  • 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 analyst 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.

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