Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

InvestCloud, Inc.
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist Python Software - London (IT) / Freelance

IC London England
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.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.