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

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

Apply below after reading through all the details and supporting information regarding this job opportunity.

Product Data ScientistLocation: Remote - UKType of role- 6 Months contract with potential extensionPayrate - £498 - £679 Per Day Inside IR35

We're hiring a Data Scientist to join a globally recognised audio streaming platform, supporting their experimentation and analytics ecosystem. This is a fantastic opportunity to work on a high-impact product used to power A/B testing and data-driven decision-making at scale.

This role sits within a fast-paced analytics team and is focused on hands-on data analysis, experiment monitoring, and stakeholder reporting rather than machine learning or research work.

What you'll be doing:

• Build and maintain dashboards tracking experiment performance and platform adoption
• Analyse A/B tests, ensuring data quality, validity, and actionable insights
• Perform deep-dive and ad-hoc analysis on experiment health and user behaviour
• Work closely with product, engineering, and data teams to support decision-making
• Translate complex data into clear, impactful narratives for stakeholders

What we're looking for:

• Strong SQL skills (essential) with experience working on large datasets
• Solid Python experience (pandas, NumPy) for data analysis
• Strong understanding of A/B testing and experimentation concepts
• Experience with BI tools (Tableau, Looker, or similar)
• Ability to work independently in a distributed team environment

Nice to have:

• Experience with BigQuery and dbt
• Exposure to experimentation platforms (e.g., Optimizely, LaunchDarkly)
• Familiarity with experiment quality frameworks or advanced testing methods

If you're a hands-on analyst who enjoys working with data at scale and driving insights through experimentation, this could be a great fit.

This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. xwwtmva Co. uk

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

Location: London

Contract type: Contract

Rate / Salary: £600-£850 per day PAYE

Clearance: Eligible

AI: Complex data. Clear thinking.

It's knowing what matters. That makes a real difference.

The Opportunity

We are looking for a Data Scientist to join our client's established and growing data science profession. This is a hands-on role suited to someone with a solid foundation in data science who wants to apply their skills to real problems, learn through delivery, and grow within a supportive professional community.

You will work on meaningful, production-focused data science initiatives rather than abstract experimentation. The role offers exposure to multiple projects, access to experienced colleagues, and the opportunity to build depth and confidence by contributing to work that has tangible impact.

This environment is far from ordinary - and we're not looking for ordinary.

Working Environment

You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively.

Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community.

What You'll Be Doing

- Contribute to the design, analysis and build of data science solutions addressing real business and operational problems

- Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making

- Write and maintain Python code to support data preparation, analysis and modelling

- Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models

- Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle

- Collaborate with more senior data scientists, learning through shared delivery

- Communicate findings clearly to both technical and non-technical audiences

- Contribute to shared documentation, standards and continuous improvement across the profession

Your Experience

To be successful in this role, you will bring:

- Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role

- Strong Python skills, with experience contributing to shared codebases

- Experience working with real-world datasets, including cleaning, validation and exploratory analysis

- Understanding of how data science moves from experimentation into practical use

- Awareness of ethical considerations and responsible data practices

- Willingness to learn, accept feedback and engage constructively with challenge

In Return

You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery.

This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time.

As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.

We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.

You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop.

What you'll do

• Discuss with stakeholders requirements for analysis

• Run exploratory data analysis and turn it into questions which can be answered with analytical techniques

• Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems

• Communicate results clearly and effectively

• Take care of unclear and ambiguous requirements

• Communicate complex ideas and analyses in a simple way

• Work independently on complex projects

• Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science

• Be able to use diverse data science tools and approaches

What we're looking for

• A degree or equivalent work experience in data driven field

• Ability to use visualization techniques for communicating data and analysis

• Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc.

• R/Python experience

• Knowledge and experience of SQL

• Ability to work a minimum of 3 days a week in our central london office.

Why Product Madness?

As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.

We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.

So, what’s stopping you?

Travel Expectations

None

Additional Information

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.