Work pattern: Full-Time (Hybrid: minimum two days per week in our London office), PAYE 

Salary: £50,000 - 65,000k per annum, DOE, generous options

Level: Mid, 2-3 years of relevant experience 

Reporting line:  Senior Data Scientist

Division/Team: Data Science (D&T)

Closing date: Thursday 14th May

The information below covers the role requirements, expected candidate experience, and accompanying qualifications.

We regret we are currently unable to provide visa sponsorship, please only apply if you have the right to work in the UK.

About Fable Data:

Fable Data is a global consumer transaction data company. We aggregate anonymised consumer data from financial services businesses, which we then enrich, productise and deliver high value data products to some of the world’s leading retailers, investment managers, technology companies, governments, and advertising firms. Our data provides a near real-time view of the consumer economy offering powerful insights into consumer behaviour, retailer performance and broader macroeconomic trends. 

About the Role:

We’re looking for a talented Data Scientist ready to take the next step in their career, someone who thrives on analysing text data and is adept at using AI alongside an expansive machine learning toolkit to build high precision solutions to identify real world entities within billions of lines of text data. 

With access to one of the most comprehensive, market leading, multi-country consumer transaction datasets available, you will expand the merchant vocabulary (named entity recognition) , build new models and enhance the accuracy of our existing models that power our world class products and the high impact insights produced by our client enablement and commercial teams.

About You:

• Passionate about solving real-world problems through a blend of applied data science, analytical thinking and research. 
• Curious with a penchant for accuracy, you love uncovering patterns in text that haven’t yet been discovered and can do so without compromising intellectual integrity and accuracy.
• Product driven thinking enables you to systematise your work into reusable and repeatable processes that can be integrated easily into our data platform. 
• Thrive in a fast-paced, collaborative environment that values both analytical rigour and commercial impact.

What you’ll do:

Key responsibilities:

• Contribute to the full ML lifecycle including model training, evaluation, versioning, deployment, and iterative improvement for a suite of text-based classification models.
• Assist in the development of new product concepts
• Evaluate and validate new data sources for suitability, quality, and bias in ML training pipelines
• Assist in developing and implementing efficient strategies for creating high-quality labelled training datasets, leveraging automation, weak supervision, and active learning techniques
• Design, implement, and maintain rule-based data processing logic leveraging regex and other pattern-matching approaches
• Assist in developing monitoring systems for in-life machine learning models that automatically detect and flag issues
• Work with stakeholders to define and implement new machine learning applications based on transaction data

Skills / knowledge:

Essential 

• 2+ years’ experience working with large datasets
• Experience in SQL and Python in a professional context.
• Fast learner and comfortable with uncertainty and change; we are a scale-up
• Comfortable working with data cleaning, transformation, and basic scripting tasks
• Knowledge of or experience with developing production code and source control via Git
• Strong attention to detail and a focus on data quality

Desirable

• Knowledge of or experience with Spark/Databricks.
• Experience monitoring and enhancing in-life ML Models (MLOps).
• Familiarity with classification, time series, and/or natural language processing.
• Knowledge of or experience working with consumer data, banking data, or stocks and shares.
• Planning skills to help you prioritise work across multiple projects.
• Familiarity with regex or willingness to learn quickly

Why Fable

At Fable, we believe in continuous improvement and shared responsibility. You’ll join a collaborative team that empowers you to take ownership of your work, experiment, and grow your skills. xwwtmva This is a unique opportunity to combine technical depth with commercial storytelling and have your work seen by some of the most influential organisations in the world.

What You'll Do:

What We're Looking For:

#AmexGBTJobs

Location

United Kingdom

The #TeamGBT Experience

Work and life: Find your happy medium at Amex GBT.

Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.

Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.

Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.

We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.

And much more!

All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.

for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.

Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the .

What if I don’t meet every requirement? If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;" please apply anyway. You may be exactly the person we’re looking for!

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

Job Title: Data Scientist (Generative AI & LLMs)

Location: London(Hybrid role)

Employment Type: 12 months contract

Role Overview

We are seeking a versatile Data Scientist to lead the end-to-end development of AI solutions, with a heavy focus on Generative AI and Large Language Models (LLMs). You will bridge the gap between business requirements and technical execution, overseeing the entire lifecycle from initial scoping and data engineering to model deployment and prompt optimization.

Key Responsibilities

• Business Alignment: Partner with stakeholders to define project scope, translate business problems into technical specs, and establish clear KPIs.
• Data Architecture: Design robust pipelines for data collection, cleaning, and preprocessing to ensure high-quality inputs for ML models.
• Model Development: Select and train appropriate architectures (BERT, GPT, etc.) using supervised, unsupervised, or reinforcement learning strategies.
• Prompt Engineering: Design, test, and iterate on complex prompts to elicit high-quality responses from LLMs while mitigating unintended behaviors.
• Evaluation & Optimization: Define metrics (Precision, Recall, F1) and design reports to track performance, continuously refining models through hyperparameter tuning and architectural adjustments.
• Deployment & Monitoring: Collaborate with engineers to push models into production and establish automated monitoring systems to track drift and performance.

Technical Requirements

• Core AI/ML: Strong experience in ML algorithms, LLM architectures, and deep learning frameworks.
• Generative AI: Proven expertise in Prompt Engineering and fine-tuning pre-trained models.
• Engineering: Proficiency in Python and experience designing data pipelines and MLOps workflows.
• Communication: Ability to translate complex technical findings into actionable insights for non-technical stakeholders. xwwtmva

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description.

Location: UK

Experience: 2–5 years

Education: Master's in Science (IT/Computer Science/Engineer)

Employment Type: Full-Time

UK based candidates only.

Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies.

Required Skills:

• 2-4 years of experience in Data science/Machine learning models from coding to deployment.
• Work with datasets using Python or R, SQL, No SQL.
• Assist in developing predictive and statistical models
• Write and optimize queries using SQL.
• Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability.
• Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.

Preferred Skills:

• Hands on experience in coding (mandatory python and SQL or C++).
• Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
• Familiarity working with large data sets.
• Project Management background preferred.

Qualifications :

• Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.
• You should be entitled to work in the UK with legal work authorization status.
• Must be willing to travel within the UK as per project/client requirements. xwwtmva
• Excellent communication skills and teamwork skills.

£70,000-£88,000 + £5,500 flexible benefits + 12% bonus

Doncaster - Hybrid – 3 days per week in the office

Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.

We are representing an international E-commerce business with a significant and growing supply chain operation, to find their first Data Scientist to focus on Supply Chain operations. Having previously relied on a third-party provider for this capability, the business is now looking to bring this expertise in-house - a genuinely exciting opportunity to build something from the ground up in a high-impact, data-rich environment that moves at pace.

You will sit within the Supply Chain Technology function, embedded in a strategic projects team that covers new use cases and initiatives end-to-end. Working closely with a highly regarded, technically minded leader, you will develop and deploy advanced optimisation and predictive models across inbound routing, inventory management, warehousing, and last-mile delivery. You will have access to the larger, core data science and ML team and will be able to use the most cutting-edge Azure-based tech stack. xwwtmva

We are looking for:

• An experienced Data Scientist (minimum 3 years) with a background in Operations Research data, Supply Chain data, Logistics data or similar
• Proficiency in Python and SQL
• The ability to engage with senior stakeholders, translating your complex modelling outputs into insights

It would be a bonus if you have:

• Experience with Gurobi
• Prior experience leading or mentoring Junior Data Analysts

For more information, please apply.

What You’ll Do:

• Develop data models to forecast performance outcomes and ROI
• Automate analysis of key metrics, trends, and content performance
• Identify patterns, correlations and opportunities within large, messy datasets
• Build and maintain dashboards that enable real-time insights and data driven decision making
• Run statistical tests to validate hypotheses and measure experimental outcomes
• Deliver clear, actionable insights from data sources that bridge data science with strategic execution

What We’re Looking For

Required:

• 2+ years of experience working with business, behavioral, or performance datasets
• Advanced proficiency in Python, SQL, and data visualization tools (Looker, Power BI, or similar)
• Experience with APIs, web scraping, and NLP or text-based data analysis
• Strong ability to to distill complex technical findings into clear, strategic insights

Preferred:

• Familiarity with clustering, graph-based modeling, or knowledge extraction from text data
• Experience applying Machine Learning or statistical methods to optimize business performance 

What We Offer

• Fully remote, async-first team — work from anywhere
• High autonomy and ownership — no micromanagement, just results
• Work alongside private equity firms and 8-figure global brands
• Defined growth paths into senior data strategy, analytics, or innovation roles

Working Hours

• Fully remote position
• Flexible schedule, async-first collaboration
• Salary starting from $2500 USD per month

A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.

Hybrid – London( 3 days office-2 days remote )

Rate 500-550 Outside IR 35

Contract 6 months initially

Build Production-Grade AI Systems at Scale

We’re Looking for AI Builders — Not Just Experimenters

If you’ve deployed real-world LLMs, built autonomous AI agents, and engineered scalable AI systems that people actually use, this is the opportunity to shape the future of AI across a global organisation.

We’re building next-generation AI capabilities across both:

• AI-powered SaaS / B2B products
• Enterprise-wide AI transformation initiatives

You’ll work on high-impact systems that automate workflows, enhance decision-making, and deliver measurable business value at scale.

What You’ll Build

You’ll design and deploy intelligent AI systems powered by:

• Large Language Models (LLMs)
• Agentic AI frameworks
• Retrieval-Augmented Generation (RAG)
• Multi-agent orchestration
• Tool-using autonomous workflows

This is a hands-on engineering role focused on production delivery, scalability, reliability, and business impact.

Your Work Will Include

• Building AI agents with reasoning, planning, memory, and tool orchestration
• Developing advanced RAG pipelines and context-aware AI systems
• Designing MCP-style architectures and interoperable AI workflows
• Creating recommendation, forecasting, and classification models on large-scale datasets
• Automating complex business operations using AI-driven decision systems
• Integrating AI into APIs, enterprise platforms, and customer-facing products
• Optimising latency, inference performance, observability, and cost efficiency

What We’re Looking For

We want engineers and scientists who can take AI from concept to production. xwwtmva

Strong Experience In

• LLMs, GenAI, and Agentic AI systems
• LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks
• RAG pipelines and vector databases
• AI agents and multi-agent orchestration
• Python, PyTorch, TensorFlow, Scikit-learn
• Cloud AI platforms such as AWS, Azure, or GCP
• Production deployment, MLOps, and scalable AI infrastructure
• API integration and workflow automation

Bonus Points For

• MCP / Model Context Protocol experience
• Fine-tuning and evaluation frameworks
• Recommendation systems and forecasting models
• Real-world enterprise AI transformation experience
• Experience balancing model quality, latency, and operational cost

Why Join US?

• Work on AI systems used at global scale
• Join a production-first AI engineering culture
• Build technology that directly impacts products, operations, and business strategy
• Collaborate with strong engineering, product, and data teams
• Influence how enterprise AI is designed and deployed across a global organisation

If you enjoy solving complex problems, deploying real AI systems, and building beyond prototypes, this role offers the opportunity to make a genuine impact.

Before applying for this role, please read the following information about this opportunity found below.

Be part of a team delivering innovative data-driven insight and analysis within a leading property and research environment.

An exciting opportunity has arisen for an enthusiastic and innovative Econometrician/Data Scientist to join a market-leading Modelling and Intelligence team.

The successful candidate will work on research projects focused on real estate modelling, forecasting, and analytical insight generation. The role will involve enhancing existing econometric and statistical models, while also developing new analytical projects in collaboration with stakeholders across multiple real estate sectors.

This is a research-oriented position ideally suited to candidates with experience applying econometric, statistical, and data science techniques to solve commercial business problems.

Based in a central London office, the role plays a key part in delivering analytical insight and strategic intelligence to internal stakeholders and clients across an international network.

Reporting to the Head of Data Science, the position is offered on a fixed-term contract basis. Candidates should be comfortable working independently while also collaborating closely with cross-functional analytics and research teams. Prior experience within the real estate sector would be advantageous, although not essential.

Operating Environment

• The role sits within the Modelling and Intelligence function as part of a wider Global Research division
• Day-to-day management will be provided by the Head of Data Science

Technical Responsibilities

• Collaborate with colleagues across Data Science, Data Engineering, Geospatial, and Innovation teams to deliver econometric and data science analysis relating to real estate trends and market behaviour
• Apply advanced statistical and econometric techniques to complex datasets
• Strong Python capability is essential
• Experience with Databricks and Azure DevOps is highly desirable, though not mandatory
• Manipulate, cleanse, and analyse large proprietary and external datasets
• Produce regular analytical outputs, dashboards, reports, and data xwwtmva books for internal stakeholders
• Clearly communicate findings and insights to both technical and non-technical audiences

Experience & Skills

• Relevant university degree in a quantitative discipline
• Minimum of 4 years’ relevant professional experience
• Strong econometric and statistical modelling expertise
• Excellent analytical and problem-solving skills
• High attention to detail and accuracy in data analysis and reporting
• Experience or understanding of the real estate sector desirable
• Strong interpersonal and communication skills suited to a collaborative professional environment
• Self-motivated with the ability to independently manage projects and deadlines

Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.

Role: Data Scientist Location: Nottingham, UK (80% Remote) Salary: £60k The Opportunity A growing, data-driven organisation is looking for a Data Scientist to help unlock the value of its data. This is a hands-on role where you'll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights. You'll have the freedom to own problems end-to-end, from exploration through to deployment, while contributing to a modern, evolving data function. What You'll Be Doing

• Designing and building data science solutions using Python
• Exploring datasets to uncover trends, patterns, and opportunities
• Applying statistical methods and machine learning techniques to solve business challenges
• Using clustering and segmentation to enhance analysis where relevant
• Translating technical outputs into clear insights for a range of stakeholders
• Supporting the deployment, monitoring, and ongoing improvement of models
• Contributing to best practices, tooling, and ways of working within the data team

What They're Looking For

• Around 3-5 years' experience in a Data Science or advanced analytics role
• Strong Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn
• Experience with gradient boosting frameworks (e.g. LightGBM or similar)
• Solid grounding in statistics and machine learning concepts
• Comfortable working with structured data and SQL
• Ability to communicate insights clearly to both technical xwwtmva and non-technical audiences
• Experience taking models beyond experimentation into production environments
• Strong analytical thinking and problem-solving ability

Nice to Have

• Exposure to R for analysis or experimentation
• Understanding of modern engineering practices (CI/CD, Docker, or similar)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with version control (Git) and collaborative workflows
• Experience working in Agile environments

You will partner closely with Engineering, Subscription, Product and Editorial teams to translate business problems into robust, data-driven solutions. The work spans areas such as optimisation, personalisation and prediction, with a strong focus on measurable impact. This could include dynamic pricing, churn propensity modelling, content recommendation systems, and building ML-driven signals to support newsroom decision-making.

This role offers the opportunity to work with modern tooling and large, real-world datasets, while contributing to a team that values pragmatism, experimentation and continuous improvement.

Key Responsibilities

• End-to-End Technical Ownership: Take accountability for the ML lifecycle, from initial data cleaning and exploration to developing, deploying, and maintaining production-grade models and pipelines.
• Experimental Rigor: Design, execute, and iterate on experiments with clear success metrics, ensuring solutions create measurable business impact.
• Stakeholder Partnership & Communication: Act as a bridge between technical and non-technical teams by framing complex problems clearly, aligning solutions with business constraints, and delivering actionable findings.

• Operational Excellence: Improve existing systems through iterative feature engineering and robust monitoring, while working alongside engineers to ensure all solutions are scalable and maintainable.

• Strategic Opportunity Identification: Proactively identify and scope new areas for optimisation, personalisation, or automation that align with broader business goals.
• Team & Industry Leadership: Uphold and evolve team standards for code quality and experimentation, providing peer mentorship and integrating modern ML developments where they provide value.

Requirements

• Experience applying data science or machine learning to real-world problems, through industry work, research, or applied projects
• Strong Python skills, with practical use of data science and ML libraries (e.g. pandas, NumPy, scikit-learn or equivalent)
• Solid SQL skills and experience working with large, structured datasets

• Good understanding of core machine learning concepts, including model training, evaluation, and feature engineering
• Exposure to generative AI or LLM-based systems (e.g. prompt design, evaluation of outputs, and integrating third-party model APIs into data products or pipelines)
• Familiarity with software engineering practices such as version control (Git) and writing reproducible, maintainable code
• Ability to translate ambiguous problems into data-driven solutions and measurable outputs

• Strong collaborative mindset, with a proactive approach to problem solving
• Clear communication skills, with the ability to explain technical approaches and trade-offs to non-technical stakeholders

Benefits

The nature of our industry means life at the Telegraph Media Group is fast-paced, demanding, and interesting. We also want it to be rewarding for everyone who works here by creating a suite of benefits that contribute to lifestyle choices and leisure activities. From dynamic working opportunities, medical cover, and parental leave (six months fully paid maternity leave and enhanced paternity/partner leave), to life assurance and season ticket loans, you can choose from a range of flexible benefits, designed to support your lifestyle and help you achieve a healthy work-life balance.

Training and development

With support from your manager and colleagues, you’ll also have access to a variety of training and development opportunities through The Academy. Covering a range of personal and professional skills, our courses enable you to develop an enjoyable and rewarding career.

Our commitment to inclusion

At Telegraph Media Group, we foster a diverse and inclusive workplace and we are committed to building a team that reflects a wide variety of skills, perspectives and backgrounds. We believe in equality of opportunity and welcome candidates from all backgrounds, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief.

We are proud to be a Level 3 Disability Confident Leader as part of the government’s Disability Confident Scheme. If you are disabled or have a long-term health condition and would like support in applying for any of our roles or if you require any reasonable adjustments in the recruitment process with us, please make us aware.

To find out more about Diversity, Inclusion and Belonging at Telegraph Media Group, and for more information on our purpose, beliefs, and people values, please visit our website.