LSEG on cord

LSEG

Data Science Manager

External position
London, UK
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Finance · Data
We play a vital social and economic role in the world’s financial system.
Posted
a month ago
Checked
cord regularly checks that external positions are still open
3 hours ago

Skills & Experience

Job roles: Data/Insight Analyst
Experience level: Senior, Lead
Core skills considered: Artificial Intelligence, Deep Learning, Machine Learning, Python
Other skills considered: PyTorch, Tensorflow, Cloud Computing

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

As a Data Science Manager, you will lead a high-performing team of Data Scientists delivering AI-powered products that create measurable business value at scale. This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems. The ideal candidate has a consistent track record of leading technical teams, scaling AI initiatives from concept to production, and fostering a culture of innovation, collaboration, and continuous improvement. You will partner closely with Product, Engineering, Research, and business partners to shape strategy, accelerate execution, and deliver impactful AI solutions.


What you'll be doing

This role combines technical leadership, organizational leadership, and strategic execution within a high-impact AI organization.

Technical Leadership

  • Lead the design, development, evaluation, and deployment of production-grade AI and Machine Learning solutions.
  • Drive innovation in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures.
  • Define the technical vision for AI products, ensuring solutions are scalable, secure, maintainable, and aligned with business objectives.
  • Provide deep expertise in model development, experimentation, optimization, evaluation, and production deployment.
  • Establish standard methodologies for LLM evaluation, model benchmarking, AI quality measurement, and performance assessment.
  • Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation and business value.
  • Guide architectural decisions across AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities.
  • Partner closely with Engineering teams to productionize AI solutions and drive operational excellence.
  • Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners.
  • Set clear goals, drive accountability, and support career growth and development.
  • Lead performance management, coaching, feedback, and talent development activities.
  • Foster a culture of innovation, collaboration, ownership, and continuous learning.
  • Drive hiring, onboarding, succession planning, and team growth initiatives.
  • Accelerate technical excellence through mentoring, technical reviews, and knowledge sharing.

Strategic & Delivery Leadership

  • Partner with Product, Engineering, and Business leaders to define AI strategy, roadmap, and priorities.
  • Drive execution through effective planning, prioritization, resource management, and delivery oversight.
  • Deliver high-quality AI solutions that create measurable business value.
  • Champion engineering excellence through guidelines, coding standards, experimentation, and governance.
  • Communicate technical strategy, risks, and recommendations clearly to technical and executive collaborators.
  • Promote responsible AI, model governance, compliance, and operational risk management.

What you'll bring


Essential Skills

Leadership & Management

  • Proven track record of building, leading, and developing high-performing teams of Data Scientists, ML Engineers, and AI practitioners.
  • Demonstrated success delivering large-scale AI initiatives from ideation to production with measurable business impact.
  • Strong coaching, mentoring, performance management, and talent development capabilities.
  • Experience leading multiple concurrent programs, balancing priorities, resources, and customer expectations.
  • Exceptional leadership, communication, and influencing skills with experience engaging senior leadership and executive collaborators.

Technical Expertise

  • Extensive experience designing, building, and deploying production-grade AI and Machine Learning solutions at scale.
  • Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures.
  • Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment.
  • Good foundation in statistics, probability, optimization, experimentation, and applied machine learning.
  • Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems.
  • Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users.
  • Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection.
  • Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures.
  • Experience implementing MLOps and LLMOps practices, including CI/CD, model lifecycle management, governance, and production operations at scale.

Collaboration & Communication

  • Ability to communicate complex technical concepts clearly to technical, business, and executive audiences.
  • Strong interested party leadership skills with a proven track record to drive alignment across Product, Engineering, Research, and Business teams.
  • Known to work influencing technical strategy, product direction, and organizational decision-making.

Desirable Skills

  • Experience leading teams building AI products for financial services, capital markets, research, analytics, or other data-intensive domains.
  • Experience developing multi-agent systems, autonomous workflows, copilots, and intelligent AI assistants.
  • Knowledge of reinforcement learning, fine-tuning, synthetic data generation, model compression, and advanced optimization techniques.
  • Experience with Knowledge Graphs, vector databases, semantic search, retrieval systems, and Graph RAG architectures.
  • Strong understanding of Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks.
  • Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms.
  • Contributions to the AI community through publications, patents, conference presentations, research, or open-source projects.

Education

Bachelor's degree or equivalent experience in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's or equivalent experience or PhD preferred.

Data Science Manager at LSEG
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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