Data Scientist II

FactSet
London, England
13 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid
Spotlight

Machine Learning Engineer (Forward Deployed)

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom

Data Scientist

PhysicsX London, United Kingdom
Hybrid

Data Scientist, Safety

OpenAI London, United Kingdom
Hybrid

Data Scientist, Core Experimentation

OpenAI United Kingdom
Hybrid

Data Scientist, Integrity Measurement

OpenAI London, United Kingdom
Hybrid

Data Scientist, Antibody Design (12-month

Relation Therapeutics London, United Kingdom
On-site

Senior Data Scientist

Faculty AI London, United Kingdom
Remote Clearance Required
Posted
7 May 2025 (13 months ago)

Responsibilities

:

Manage and conduct data analysis and machine learning methodologies independently. This could involve running experiments, creating models, and interpreting results.

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.

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.

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:

Licenses for learning resources like Pluralsight

Reimbursement of Technology Certification Fees (Azure, AWS or relevant Technologies)

Paid Leave for Certification Exam preparation (In addition to Casual Leaves and Privilege Leaves)

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

Understanding of machine learning techniques and data processing

Proficiency in relevant programming languages (e.g. Python)

Ability to effectively manage git repositories and experience with cloud computing platforms

Expertise in accessing, cleaning, processing, and handling complex data for analysis

Excellent problem-solving skills and ability to design and execute advanced experiments testing hypotheses

Strong communication skills for effectively presenting findings to stakeholders and closely collaborating with team members

Experience with unit testing, code profiling, and object-oriented programming

Ability to work on multiple projects simultaneously and adapt to dynamic work environments

Experience with Big Data platforms like Hadoop or Spark and knowledge of SQL is a plus.

Proficiency with statistical programming and data visualization tools is highly desirable

Continual learning attitude, with a focus on enhancing both technical and soft skills

Company Overview:

FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at and follow us on and .

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.