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Location: Remote \n Working pattern: Flexible, part-time or full-time \n \n An exciting opportunity is available for motivated individuals who are passionate about travel and interested in developing a flexible career within the tourism industry. \n Travel Agents help clients research, plan and book a wide range of travel experiences, including package holidays, accommodation, cruises, flights, tours and specialist trips. No previous travel industry experience is required, as comprehensive training, professional mentoring and ongoing support are provided. \n \n Key responsibilities: \n\n • Researching destinations, accommodation and travel experiences\n, • Creating personalised travel recommendations and itineraries\n, • Booking holidays through established travel suppliers\n, • Providing a professional and responsive service to clients\n, • Developing and maintaining positive client relationships\n, • Promoting travel services through referrals, personal networks and digital channels\n, • Completing relevant training and keeping up to date with industry developments\n\n \n What is provided: \n\n • Access to professional travel-booking systems\n, • Industry-recognised training and supplier education\n, • Access to established travel brands and tour operators\n, • Ongoing mentoring from a PhD-qualified tourism professional\n, • Supportive agent community and dedicated support groups\n, • Flexible working hours and the ability to work remotely\n, • Opportunities to specialise in areas such as luxury travel, cruises, family holidays, adventure tourism or destination weddings\n, • Personal travel benefits and industry incentives\n\n \n The ideal candidate will be: \n\n • Passionate about travel and helping others\n, • Friendly, professional and confident when communicating\n, • Organised and attentive to detail\n, • Comfortable working independently\n, • Willing to learn and complete ongoing training\n, • Proactive and motivated\n, • Confident using online communication tools\n\n \n Applications are welcomed from both experienced travel professionals and those looking to enter the industry for the first time.

Senior Data Scientist – Pricing & Machine Learning \n Location: Leeds, UK (hybrid) \n Contract: Permanent, full-time \n Salary: Competitive \n \n About Protect Group \n Protect Group helps businesses improve the customer experience and generate additional revenue through innovative technology. Since 2016, we’ve grown to support more than 400 partners across 75+ countries, with 12 offices worldwide. \n \n Our AI-driven technology integrates with online booking and sales platforms, helping businesses across travel, transport, hospitality, events and financial services offer more flexible, customer-friendly experiences. \n \n We’re an ambitious, collaborative team that values accountability, fresh thinking and people who take ownership. We move quickly, learn from evidence and work together to solve meaningful problems. \n \n The role \n Pricing machine learning sits at the heart of our business. Our pricing engine dynamically sets protection rates across hundreds of partners and millions of transactions, directly influencing revenue and conversion for our partners. \n \n We’re looking for a hands-on Senior Data Scientist to take a leading role in developing and improving this capability. Reporting to the Head of Data Science, your primary focus will be pricing optimisation: designing models, running experiments and turning commercial opportunities into reliable production systems. \n \n You’ll also contribute to our wider machine learning work, including risk modelling and agentic AI systems for refund decision-making and automation. \n \n This is a role for someone who enjoys both developing sophisticated models and putting them into production. You’ll help shape our technical direction while remaining close to the code and accountable for what we ship. \n \n You’ll join a flat, high-trust team of data scientists and engineers, working closely with commercial, finance and product teams, as well as the wider technical teams behind our AI platform. \n \n What you’ll work on \n\n • Pricing optimisation: Developing and improving dynamic pricing models across partners, products and markets.\n, • Experimentation: Designing backtests, online experiments and always-on optimisation approaches to measure the effect of pricing changes.\n, • Commercial modelling: Balancing revenue, conversion and customer value within pricing decisions.\n, • Risk models: Building models that improve our understanding of claims, refunds and transaction-level risk.\n, • Agentic AI systems: Creating graph-based, multi-step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls.\n, • Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship.\n, • ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML.\n\n \n What you’ll be responsible for \n\n • Owning the development and continuous improvement of our production pricing models.\n, • Turning pricing opportunities into measurable hypotheses, experiments and production changes.\n, • Evaluating pricing performance through backtesting, online testing and commercial metrics.\n, • Developing Bayesian, multi-armed bandit and other optimisation approaches for dynamic pricing.\n, • Working with commercial, finance and product teams to understand pricing performance and recommend action.\n, • Building supporting risk models and agentic systems where they improve pricing, refund decision-making or operational efficiency.\n, • Applying rigorous offline and online evaluation to everything you build.\n, • Shipping reliable models through reproducible training pipelines, versioned artefacts, scheduled jobs, monitoring and alerting.\n, • Raising the team’s technical standards through code and model reviews, mentoring and the development of reusable patterns.\n, • Helping the Head of Data Science shape the team’s strategy and identify where investment in machine learning will have the greatest impact.\n, • Communicating findings, trade-offs and recommendations clearly to both technical and non-technical audiences.\n\n \n What you’ll bring \n\n • At least five years’ experience in data science or machine learning, including responsibility for models running in production.\n, • Experience of insurance, protection, travel, fintech, risk modelling or another transaction-led industry.\n, • Strong hands-on experience building pricing, revenue optimisation or commercially focused decision models.\n, • Expert Python skills, including production-quality code, testing and code review, alongside strong SQL.\n, • A solid grounding in machine learning techniques such as gradient boosting, GLMs, Bayesian methods and multi-armed bandits, or comparable experimentation and optimisation methods.\n, • Experience designing, running and evaluating pricing experiments using both commercial and statistical measures.\n, • The ability to connect model performance with commercial outcomes such as revenue, conversion and risk.\n, • Hands-on experience designing, building and optimising agentic systems, particularly graph-based and iterative workflows involving loops, branching, routing, tool use and state management.\n, • Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing.\n, • Experience with cloud ML platforms—ideally Azure ML, Functions and Blob Storage—or the willingness to transfer your knowledge to Azure.\n, • Experience with Git-based workflows, CI/CD and modern agent-assisted development tools such as Claude Code or Codex.\n, • The ability to turn an ambiguous business problem into a deployed, monitored solution.\n, • Strong commercial judgement and confidence discussing model decisions in terms of revenue and risk.\n, • Clear written and verbal communication, including with non-technical audiences.\n, • An evidence-led approach and experience mentoring others or providing technical leadership.\n, • Awareness of GDPR and international data regulations.\n\n \n Useful, but not essential \n\n • Causal inference and large-scale experiment design.\n, • MLOps, including model registries, artefact versioning and drift monitoring.\n, • Streamlit or similar tools for internal applications and dashboards.\n, • Experience with claims, refunds or customer operations.\n\n \n You don’t need to match every item in this section. If the role sounds like a strong fit, we’d still like to hear from you. \n

Senior Data Scientist – Pricing & Machine Learning Location: Leeds, UK (hybrid) Contract: Permanent, full-time Salary: Competitive About Protect Group Protect Group helps businesses improve the customer experience and generate additional revenue through innovative technology. Since 2016, we’ve grown to support more than 400 partners across 75+ countries, with 12 offices worldwide. Our AI-driven technology integrates with online booking and sales platforms, helping businesses across travel, transport, hospitality, events and financial services offer more flexible, customer-friendly experiences. We’re an ambitious, collaborative team that values accountability, fresh thinking and people who take ownership. We move quickly, learn from evidence and work together to solve meaningful problems. The role Pricing machine learning sits at the heart of our business. Our pricing engine dynamically sets protection rates across hundreds of partners and millions of transactions, directly influencing revenue and conversion for our partners. We’re looking for a hands-on Senior Data Scientist to take a leading role in developing and improving this capability. Reporting to the Head of Data Science, your primary focus will be pricing optimisation: designing models, running experiments and turning commercial opportunities into reliable production systems. You’ll also contribute to our wider machine learning work, including risk modelling and agentic AI systems for refund decision-making and automation. This is a role for someone who enjoys both developing sophisticated models and putting them into production. You’ll help shape our technical direction while remaining close to the code and accountable for what we ship. You’ll join a flat, high-trust team of data scientists and engineers, working closely with commercial, finance and product teams, as well as the wider technical teams behind our AI platform. What you’ll work on • Pricing optimisation: Developing and improving dynamic pricing models across partners, products and markets., • Experimentation: Designing backtests, online experiments and always-on optimisation approaches to measure the effect of pricing changes., • Commercial modelling: Balancing revenue, conversion and customer value within pricing decisions., • Risk models: Building models that improve our understanding of claims, refunds and transaction-level risk., • Agentic AI systems: Creating graph-based, multi-step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls., • Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship., • ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML. What you’ll be responsible for • Owning the development and continuous improvement of our production pricing models., • Turning pricing opportunities into measurable hypotheses, experiments and production changes., • Evaluating pricing performance through backtesting, online testing and commercial metrics., • Developing Bayesian, multi-armed bandit and other optimisation approaches for dynamic pricing., • Working with commercial, finance and product teams to understand pricing performance and recommend action., • Building supporting risk models and agentic systems where they improve pricing, refund decision-making or operational efficiency., • Applying rigorous offline and online evaluation to everything you build., • Shipping reliable models through reproducible training pipelines, versioned artefacts, scheduled jobs, monitoring and alerting., • Raising the team’s technical standards through code and model reviews, mentoring and the development of reusable patterns., • Helping the Head of Data Science shape the team’s strategy and identify where investment in machine learning will have the greatest impact., • Communicating findings, trade-offs and recommendations clearly to both technical and non-technical audiences. What you’ll bring • At least five years’ experience in data science or machine learning, including responsibility for models running in production., • Experience of insurance, protection, travel, fintech, risk modelling or another transaction-led industry., • Strong hands-on experience building pricing, revenue optimisation or commercially focused decision models., • Expert Python skills, including production-quality code, testing and code review, alongside strong SQL., • A solid grounding in machine learning techniques such as gradient boosting, GLMs, Bayesian methods and multi-armed bandits, or comparable experimentation and optimisation methods., • Experience designing, running and evaluating pricing experiments using both commercial and statistical measures., • The ability to connect model performance with commercial outcomes such as revenue, conversion and risk., • Hands-on experience designing, building and optimising agentic systems, particularly graph-based and iterative workflows involving loops, branching, routing, tool use and state management., • Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing., • Experience with cloud ML platforms—ideally Azure ML, Functions and Blob Storage—or the willingness to transfer your knowledge to Azure., • Experience with Git-based workflows, CI/CD and modern agent-assisted development tools such as Claude Code or Codex., • The ability to turn an ambiguous business problem into a deployed, monitored solution., • Strong commercial judgement and confidence discussing model decisions in terms of revenue and risk., • Clear written and verbal communication, including with non-technical audiences., • An evidence-led approach and experience mentoring others or providing technical leadership., • Awareness of GDPR and international data regulations. Useful, but not essential • Causal inference and large-scale experiment design., • MLOps, including model registries, artefact versioning and drift monitoring., • Streamlit or similar tools for internal applications and dashboards., • Experience with claims, refunds or customer operations. You don’t need to match every item in this section. If the role sounds like a strong fit, we’d still like to hear from you.

Corporate Reservations Agent – Vehicle Rental Leeds | £28,000 + Monthly Bonus We’re looking for a confident, energetic Corporate Reservations Agent to join an established and growing vehicle rental business in Leeds. Working within the central reservations team, you’ll handle corporate customer enquiries, arrange vehicle rentals and maximise every booking opportunity while delivering excellent customer service. The Role Handle inbound calls and email enquiries Arrange and confirm vehicle rental bookings Understand customer needs and offer the right solution Follow up enquiries and make proactive outbound calls Build strong relationships with corporate customers Work closely with branches to fulfil bookings Identify additional sales opportunities Work towards service and conversion targets About You You’ll be positive, organised, commercially aware and confident speaking with customers. Experience within vehicle rental, car hire, automotive, equipment hire, reservations, hire desk, internal sales or customer service would be ideal. Rental or automotive experience is desirable but not essential. What's On Offer? £28,000 basic + Monthly Bonus A great opportunity to join an established business offering a fast-paced, supportive environment and genuine career development. Interested? Apply today for a confidential conversation

Location: Leeds, UK (hybrid) Contract: Permanent, full-time Salary: Competitive Protect Group helps businesses improve the customer experience and generate additional revenue through innovative technology. Since 2016, we've grown to support more than 400 partners across 75+ countries, with 12 offices worldwide. Our AI-driven technology integrates with online booking and sales platforms, helping businesses across travel, transport, hospitality, events and financial services offer more flexible, customer-friendly experiences. We're an ambitious, collaborative team that values accountability, fresh thinking and people who take ownership. We move quickly, learn from evidence and work together to solve meaningful problems. Pricing machine learning sits at the heart of our business. Our pricing engine dynamically sets protection rates across hundreds of partners and millions of transactions, directly influencing revenue and conversion for our partners. We're looking for a hands-on Senior Data Scientist to take a leading role in developing and improving this capability. Reporting to the Head of Data Science, your primary focus will be pricing optimisation: designing models, running experiments and turning commercial opportunities into reliable production systems. You'll also contribute to our wider machine learning work, including risk modelling and agentic AI systems for refund decision-making and automation. This is a role for someone who enjoys both developing sophisticated models and putting them into production. You'll help shape our technical direction while remaining close to the code and accountable for what we ship. You'll join a flat, high-trust team of data scientists and engineers, working closely with commercial, finance and product teams, as well as the wider technical teams behind our AI platform. • Pricing optimisation: Developing and improving dynamic pricing models across partners, products and markets., • Experimentation: Designing backtests, online experiments and always-on optimisation approaches to measure the effect of pricing changes., • Commercial modelling: Balancing revenue, conversion and customer value within pricing decisions., • Risk models: Building models that improve our understanding of claims, refunds and transaction-level risk., • Agentic AI systems: Creating graph-based, multi-step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls., • Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship., • ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML., • Owning the development and continuous improvement of our production pricing models., • Turning pricing opportunities into measurable hypotheses, experiments and production changes., • Evaluating pricing performance through backtesting, online testing and commercial metrics., • Developing Bayesian, multi-armed bandit and other optimisation approaches for dynamic pricing., • Working with commercial, finance and product teams to understand pricing performance and recommend action., • Building supporting risk models and agentic systems where they improve pricing, refund decision-making or operational efficiency., • Applying rigorous offline and online evaluation to everything you build., • Shipping reliable models through reproducible training pipelines, versioned artefacts, scheduled jobs, monitoring and alerting., • Raising the team’s technical standards through code and model reviews, mentoring and the development of reusable patterns., • Helping the Head of Data Science shape the team's strategy and identify where investment in machine learning will have the greatest impact., • Communicating findings, trade-offs and recommendations clearly to both technical and non-technical audiences., • At least five years' experience in data science or machine learning, including responsibility for models running in production., • Experience of insurance, protection, travel, fintech, risk modelling or another transaction-led industry., • Strong hands-on experience building pricing, revenue optimisation or commercially focused decision models., • Expert Python skills, including production-quality code, testing and code review, alongside strong SQL., • A solid grounding in machine learning techniques such as gradient boosting, GLMs, Bayesian methods and multi-armed bandits, or comparable experimentation and optimisation methods., • Experience designing, running and evaluating pricing experiments using both commercial and statistical measures., • The ability to connect model performance with commercial outcomes such as revenue, conversion and risk., • Hands-on experience designing, building and optimising agentic systems, particularly graph-based and iterative workflows involving loops, branching, routing, tool use and state management., • Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing., • Experience with cloud ML platforms - ideally Azure ML, Functions and Blob Storage or the willingness to transfer your knowledge to Azure., • Experience with Git-based workflows, CI/CD and modern agent-assisted development tools such as Claude Code or Codex., • The ability to turn an ambiguous business problem into a deployed, monitored solution., • Strong commercial judgement and confidence discussing model decisions in terms of revenue and risk., • Clear written and verbal communication, including with non-technical audiences., • An evidence-led approach and experience mentoring others or providing technical leadership., • Awareness of GDPR and international data regulations., • Causal inference and large-scale experiment design., • MLOps, including model registries, artefact versioning and drift monitoring., • Streamlit or similar tools for internal applications and dashboards., • Experience with claims, refunds or customer operations. You don't need to match every item in this section. If the role sounds like a strong fit, we'd still like to hear from you. #J-18808-Ljbffr

BPM Tech in Leeds is seeking an Application Support Analyst to join a small, collaborative team providing technical support across a booking software platform. You will handle support queries from internal teams, customers and external users through Jira, email and a virtual agent, investigate issue

As a Receptionist , you will welcome our members and provid e a premium experience by managing their queries and bookings both f ace to face and by telephone, all whilst k eeping the reception area clean, tidy, and presented to brand standards.

At CCH Group, we’re more than a care provider – we’re a passionate community dedicated to driving the sector to new heights with a history of doing so.Founded in 2009, we’ve grown into the nation’s largest care company, with over 260 locations and 14,000 care professionals delivering 1.Fle

As a Receptionist , you will welcome our members and provid e a premium experience by managing their queries and bookings both f ace to face and by telephone, all whilst k eeping the reception area clean, tidy, and presented to brand standards.

Residential Childcare Support Worker (Sessional/Casual).We're seeking a flexible Residential Childcare Support Worker to join our Bay View team on a.You'll work in one of our family-style homes in.Heysham or rural North Lancaster.You'll help young people aged 8-18 with social, emotional, and behavio

At CCH Group, were more than a care provider were a passionate community dedicated to driving the sector to new heights with a history of doing so.Founded in 2009, weve grown into the nations largest care company, with over 260 locations and 14,000 care professionals delivering 1.Yes - full UK licen

Working in our Childrens Homes means being a part of a young persons day to day life.This means being there for the highest highs and lowest lows.Our shift leaders enable our young people to get their childhood back and create pathways to become well rounded adults an incredibly rewarding role to h

Job Description /n Silver Lodge Care Home is a purpose built 40 bed care home, providing specialist nursing dementia and complex nursing dementia care across two dedicated 20 bed units.The home offers a safe, structured, and supportive environment, designed to meet the needs of residents requiring

Job Description Residential Support Worker/n /n /n Company: Dove Adolescent Services /n Location: Wakefield /n Base Location: With services in Pontefract, Wakefield, Eggborough and Barnsley we currently have vacancies throughout /n Contract Type: Part time, permanent /n Specific Hours: 30

Job Description Polaris Education - Becker School SEND Personal Care Assistant Contract: Full Time, Term Time Only Basic Salary: £21,257.Location: Batley, West Yorkshire /n Benefits /n /n - Company pension /n - Life Assurance /n - Employee Discount Scheme /n /n Are you ready to join a suppor

Job Description Creative Support is looking for a warm, reliable and proactive Relief Support Worker to join our friendly and passionate staff team in Leeds.Our Hampton Crescent service contains 40 beds with some flats housing services users who require extra care.As a support workers you will prov

Job Description Senior Health Care Assistant/n /n /n /n /n When registering to this job board you will be redirected to the online application form.Please ensure that this is completed in full in order that your application can be reviewed.Position: Senior Health Care Assistant /n Care home: Whel

Job Description Consensus is not just a care provider – we're a community of amazing people dedicated to inspiring and empowering people with learning disabilities, autism, and complex needs.If you're looking for a career where you can make a meaningful difference in the lives of others, then thi

This job is with Santander UK, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.Please do not contact the recruiter directly.Customer Service Advisor | S1 | Everyday Banking | Bradford.This is more than a strategic shift.It's a chance fo

Hours per week: 42 hours per week Shift Pattern: 2 shifts on, 2 shifts off Work Base: Office based with regular travel Are you a person who is compassionate, understanding and wants to make a difference to young peoples lives? If you have an affinity for helping people and the challenges they face t

Polaris Education - Becker School SEND Personal Care Assistant Contract: Full Time, Term Time Only Basic Salary: £21,257.Location: Batley, West Yorkshire Benefits Company pension Life Assurance Employee Discount Scheme Are you ready to join a supportive and nurturing community that works together t

Location: Bishops Lydeard, Taunton Full time: 37.Full UK manual drivers licence.About Discovery Discovery exists to support people to live fulfilling lives, be equal in society, and play an active role in their local communities.This means having real choice and control—whether that's staying in o

Support Worker Location: Williton Full time / Part Time Driver Licence: UK driving licence required About the role At Sunnyside, nestled within a charming village community in Williton, every day is different, but every day you'll make a real difference.Whether it's a jaunt to the shops, an excursio

Health Care Assistant - Part time When registering to this job board you will be redirected to the online application form.Please ensure that this is completed in full in order that your application can be reviewed.Position : Care Assistant Care home : Wheldale Heights.Location : Castleford, WF10 2P

For a limited time only, join and receive a £500 welcome bonus .Join our friendly, supportive and inclusive team at Westfields to help us make a real difference in the lives of our service users.Are you an experienced Care professional or new to the industry? Come and work for Norse Care.We offer

Package Description: At Avery Healthcare, we are all about supporting the people who care for our residents.We know how hard our teams work, and we’re here to celebrate and support you every step of the way.When you join us, you’ll be making a positive impact on residents’ lives every day –

Academics are currently recruiting for an experienced behaviour support worker for a 2 form entry East Leeds primary school.This position is to commence iafter October half term ideally until the end of the academic year.This school has a strong emphasis on behaviour management, and the successful c

EE Merthyr Tydfil Contact Centre - Full-time role - 37.If you’re outgoing, full of energy and love talking to people, you’d be better off in sales with EE.Maybe you’ve worked in retail, or hospitality before.You know how to deal with customers but you’re looking for something more exciting �

Tired of Retail or Hospitality? Your Skills are Perfect for Social Care! Male Support Worker – Romford, Essex Full-time (39 hours a week) role available £25,845 per annum pro rata Please note: the role involves manual handling – the use of a hoist and supporting wheelchair users People-person?

Work Strata are hiring warehouse operatives for our well-known engineering client based in Eye, Suffolk.Successful candidates' daily responsibilities will include working to company procedures, assisting in the packing and shipping process, transporting stock around the warehouse using delivery cage

We're looking for exceptional career temps to join our growing network of high-calibre receptionists, supporting some of London's most prestigious businesses.Our clients range from Private Equity and Venture Capital firms to global Executive Search consultancies and innovative technology companies.A

Douglas Court Care Home is a modern residential, dementia and respite care home in Derby.With beautiful sensory gardens, comfortable living spaces and engaging daily activities, our team is dedicated to helping every resident feel safe, valued and at home.Paid DBS, pension and uniform provided * 5.O

ABOUT THE ROLE This is a casual, part-time role offering flexible working.As a Bank Housekeeping Assistant at a Barchester care home, youll help to create a warm and homely environment that enables us to meet each residents unique needs.Keeping the home clean and safe is no small

Job Description Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.ABOUT THE ROLE This is a casual, part-time role offering flexible working.As a Care Assistant at a Barchester care home, you'll help residents enjoy each day by makin

At Birchstone Care Homeswe are committed to providing a safe, secure, happy and comfortable home, promoting a high standard of care and an understanding of individual needs, to offer support and choice as required.We are looking for kind and caring individuals to join our happy and friendly team, th

Working in our Children’s Homes means being a part of a young person’s day to day life.This means being there for the highest highs and lowest lows.Our support workers enable our young people to get their childhood back and create pathways to become well rounded adults – an incredibly rewardin

Support Worker - Nights Salary: £12.Working Hours: 36 per week, 12 hour shifts, 19:30-07:30 Service: National Neurological Services We are currently recruiting for Support worker - Nights to join our team atNational Neurological Services - Morecambe At National Neurological Services we support peop

Hours: Waking nights (4 on / 4 off).Working in our Children’s Homes means being a part of a young person’s day to day life.This means being there for the highest highs and lowest lows.Our night support workers are a part of enabling our young people to get their childhood back and create pathw