Data Scientist

InvestCloud, Inc.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Measurement Specialist

Data Scientist - Imaging - Remote - Outside IR35

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.