Data Scientist II

FactSet Research Systems, Inc.
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist II

Apply Now: Data Scientist II, SAnDS...

Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation

Principal Data Scientist

Machine Learning Engineer, II (Urgent)...

Machine Learning Engineer, II...

About FactSet:

FactSet is a global leader in providing cutting-edge research and analytical tools to finance professionals. We offer instant access to accurate and comprehensive financial data and analytics worldwide. FactSet clients integrate hundreds of databases from industry-leading suppliers into a single, powerful information system.

About Enterprise Analytics:

The Enterprise Analytics group at FactSet focuses on internal information to support product development and internal sales teams. Our work spans a diverse array of projects and teams, reflecting our broad scope and impact. We analyze user engagement patterns to identify trends and at-risk users, and recommend product bundling strategies. Our team processes and examines internal documents to uncover opportunities, and we are at the forefront of developing tools to work with data from LLM-powered tools. We collaborate closely with our stakeholders over extended periods, helping the business make informed, impactful decisions. Throughout these processes, we leverage both traditional and state-of-the-art machine learning and data analytics techniques, ensuring we remain at the cutting edge of the industry.

Job Responsibilities:

  1. Manage and conduct data analysis and machine learning methodologies independently. This could involve running experiments, creating models, and interpreting results.
  2. Access data from various sources and prepare it for analysis. Handle cleaning of complex datasets by identifying, addressing, and resolving issues related to quality and integrity.
  3. Create and manage git repositories efficiently. Write clean, efficient, and reusable code adhering to best practices. Proficiency in unit testing, code profiling and cloud computing.
  4. Work collaboratively with the data science team and other stakeholders. Communicate effectively about complex tasks, projects and insights generated from data. Present findings in a comprehensible manner to both technical and non-technical audiences.

Technology Learning Opportunities:
FactSet is committed to invest into Career development of all the Engineers to upskill, or re-skill based on individual interests, Project priorities and offers:

  1. Licenses for learning resources like Pluralsight
  2. Reimbursement of Technology Certification Fees (Azure, AWS or relevant Technologies)
  3. Paid Leave for Certification Exam preparation (In addition to Casual Leaves and Privilege Leaves)
  4. Vibrant Technology Communities that organize Internal programs, technology symposiums, Guest lectures by internal and external experts.

Requirements:

We are seeking a results-oriented person with at leastthree yearsof experience full-time Industry work in

  1. Understanding of machine learning techniques and data processing
  2. Proficiency in relevant programming languages (e.g. Python)
  3. Ability to effectively manage git repositories and experience with cloud computing platforms
  4. Expertise in accessing, cleaning, processing, and handling complex data for analysis
  5. Excellent problem-solving skills and ability to design and execute advanced experiments testing hypotheses
  6. Strong communication skills for effectively presenting findings to stakeholders and closely collaborating with team members
  7. Experience with unit testing, code profiling, and object-oriented programming
  8. Ability to work on multiple projects simultaneously and adapt to dynamic work environments
  9. Experience with Big Data platforms like Hadoop or Spark and knowledge of SQL is a plus.
  10. Proficiency with statistical programming and data visualization tools is highly desirable
  11. Continual learning attitude, with a focus on enhancing both technical and soft skills

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.