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Responsibilities will include:Planned and preventative maintenanceImprovements and repairs to a diverse range of machines within the facilityMachine installationDiagnosing and repairing mechanical

Company Description At Turner & Townsend we’re passionate about making the difference. That means delivering better outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society. Every day we help our major global clients deliver ambitious and highly technical projects, in over 130 countries worldwide. Our team is dynamic, innovative and client-focused, supported by an inclusive and fun company culture. Our clients value our proactive approach, depth of expertise, integrity and the quality we deliver. As a result our people get to enjoy working on some of the most exciting projects in the world. Job Description Due to growing demand for our Infrastructure Digital - Data and Analytics services, we are seeking to recruit Senior/ Principal data engineer consultants with excellent technical knowledge of designing, building, and maintaining scalable data pipelines that will enable our clients to extract value from their data assets. The Role As part of the role you will: • Work with developers, managers, and business stakeholders to understand and define components of the data landscape and how it relates to the data strategy, • Understand and translate end-user requirements into designs and delivery plans for effective data solutions, • Design, develop, execute, and maintain highly automated data pipelines using cloud technologies, • Analyse and resolve data quality issues, • Build, maintain, and support data workflows and the necessary infrastructure as part of a data and analytics delivery team, • Identify opportunities for improvement and promote theses through the team, • Actively mentor and develop others in the team and inspire them through commitment and enthusiasm, • Foster and demonstrate an inclusive team culture focusing on service excellence and exceptional performance, • Take knowledge or experience and translate into new ideas or solutions, • Contribute to the development and maintenance of T&Ts documentation and processes Qualifications Skills required for this role are: • Proven ability to work with with:, • Databricks, • Azure Data Factory, • Azure Data Lake, • Azure Synapse (and data warehousing approaches) or SSIS, • Azure Analysis Services, • Experience in programming languages such as:, • SQL, • Python, • Spark, • DAX, • A good understanding of Devops practices:, • CI/CD (Azure DevOps preferable), • GIT and Version Control, • MLFlow and other MLOps / Machine Learning Engineering processes to support advanced analytical use cases, • Data modelling including Kimball, • Container technologies such as Kubernetes and Docker, • Experience translating designs of Azure data solutions into action, • Analysis/requirements gathering, solution design, and implementation of data platform and Azure technologies Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.

BJ89 - Multi-Skilled Engineer (Electrically Biased) Location: Chippenham Salary: £40,185 Per Annum (+ Enhanced Call-out pay) Working Hours: 40 hours per week - Monday to Friday based on Double Day shift – 6am-2pm/2pm-10pm Overview: First Military Recruitment are working with a worldwide organisation, leading the way in print industry, looking for a Multi-Skilled Engineer (Electrically Biased) to join the business, and continuously improve their expanding team. Within this role you will maintain efficiency in all areas of the factory. This includes reactive and planned maintenance with industrial manufacturing machinery. You will also be involved in projects and continuous improvements to site. Duties & Responsibilities: Reactive Maintenance on automated production machinery Pre-planned Maintenance (PPM) - Input to and carry out preventive maintenance routines Mechanical fault finding · Electrical fault finding with and without diagrams (three phase and control systems) Fault finding and repair on hydraulic or pneumatic systems Small installation projects Continuous Improvement to maintain optimal machine efficiency To keep clean any areas in which you are working, including transit areas to and from the workshop, the workshop and stores Support the Operations team in achieving targets Complying to the company's Health and Safety policies and procedures Contributing to cost effective technical solutions Deliver to the operational expectations Be part of a weekend call-out rota Skills, Experience and Qualifications: A relevant recognised engineering qualification in Electrical engineering to a level of City and Guilds level 3/ NVQ level 3 Experience working in a small team and must have an aptitude for dealing with mechanical/electrical works, breakdowns, repairs and fault diagnosis Strong mechanical skills to repair machinery to keep downtime to a minimum Preferably, some electrical fault-finding skill in particular on PLC's, drives and inverters Excellent mechanical fault finding and diagnostic skills Ability to read and interpret engineering diagrams Pneumatic skills and experience Knowledge of HV/LV Switchgear and electrical drives Understanding of PLC's, their function and program modification/fault finding (Elec) Ability to organise and schedule own time, and stay on top of own workload Company Benefits: Overtime paid at 1.33 34 days holiday (inclusive of bank holidays) Pension contributions Employee Discount scheme Healthcare cash back scheme Generous company sick pay scheme BJ89 - Multi-Skilled Engineer (Electrically Biased) Location: Chippenham Salary: £40,185 Per Annum (+ Enhanced Call-out pay) Working Hours: 40 hours per week - Monday to Friday based on Double Day shift – 6am-2pm/2pm-10pm TPBN1_UKTJ

You will be expected to regularly visit the site from your own personal office, monitoring incidents, machine maintenance, staff welfare and complete risk assessments aligned with inspections and regulations.

Carbon60 are proud to be partnering with Lufthansa Technik Landing Gear Services to recruit for a Machine Grinder within the Machine Shop department. Lufthansa Technik are a global leading provider of maintenance, repair, and overhaul services for the civil aviation industry. To be able to read and

Our client based in Elsham, Brigg is a well-established business that provides packaging solutions into the healthcare sector. They currently have an exciting opportunity for a Multi Skilled Maintenance Engineer (Mechanical & Electrical) to join their team as soon as possible! This is a permanent opportunity, working a 4 on 4 off shift pattern of 2 days, followed by 2 nights (6am-6pm / 6pm-6am), with average weekly contractual hours of 42 per week. We are looking for a Multi Skilled Maintenance Engineer, with both mechanical and electrical experience, along with qualifications to support this (essential for the post). The basic annual salary for the role is £44,488 per annum, with the opportunity for overtime at enhanced rates. The company also offers a quarterly Gainshare scheme, up to 5%. The purpose of the role is to ensure the reliable and safe operation of all plant equipment and services by carrying out effective maintenance, repairs, and improvements. The Maintenance Technician will play a key role in minimising downtime, supporting production efficiency, and maintaining compliance with safety and quality standards. Duties of the role include:- Work on process operations to repair breakdown of electrical and mechanical areas as safely and quickly as possible Work with Quality Technicians to ensure repairs leave machine 'process-capable' i.e. able to produce product within specification. Issue process disturbance warnings where applicable Carry our ancillary activities to build/repair machinery/facilities i.e. welding, cutting, grinding, wiring Carry out preventative maintenance as directed Carry out checks/service equipment/ facilities to meet legislative requirements as directed Work with Production Operators to improve process Keep accurate records Promote safe behaviour and safe systems of work Other projects as assigned Additional benefits include 20 days holiday, life assurance, company pension scheme, employee assistance programme, occupational health platform and access to the company benefits/discount platform. To be considered for the role you should have:- Have a successful track record of working in a manufacturing environment Have a multi skilled (mechanical and electrical skills / experience / qualification) Have a full UK driving licence and your own transport in order to reach the location of the site Please apply online in the first instance, send your CV to or call Barker Ross Lincoln on 01522 551910 today! Barker Ross Group values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business. TPBN1_UKTJ

Multi-Skilled Engineer Northamptonshire Commutable from Northampton, Daventry, Rugby, Coventry, Crick, Lutterworth, Towcester £46,000 + Overtime Monday-Friday 10:30am-7:00pm Our client is a leading food manufacturer, part of a multi-million-pound European group, with a reputation for product quality which is second to none and industry leading standards. Due to engineering departmental growth, they are looking for an experienced Maintenance Engineer to join their close knit team of engineers. Role & Responsibilities: Maintain all reactive and schedule maintenance on food production & packaging machinery Electrical & mechanical fault finding and repairs Site services & facilities maintenance - effluent plant, water treatment, building maintenance PLC - electrical fault finding Project work - new machine installations & upgrades Knowledge, Skills & Experience: Looking for an experienced time-served engineer Multi-skilled - but open to either electrical or mechanical biased Must have worked in food manufacturing Ideally level 3 qualified or higher in engineering 17th or 18th Edition beneficial Must have access to own transportation due to location of factory Strong technical skills - electrical & mechanical fault finding & diagnostics Team player, working in a small team PLC - electrical fault finding beneficial 'To apply please email your CV / resume to [ ]'. - Chris Gumm - 01908 010 438 If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business. TPBN1_UKTJ

Mechanical Maintenance Engineer Sudbury, Suffolk Salary: £42,000 Basic Monday to Friday shifts Outsource UK is recruiting on behalf of a respected textiles manufacturer in Sudbury, Suffolk, for an experienced and proactive Maintenance Engineer to join their technical team. Key Responsibilities: Carry out maintenance on powered weaving equipment to ensure maximum efficiency. React promptly to technical issues reported by Weavers to minimise machine downtime. Support ongoing machine performance improvements aligned with KPIs in quality, safety, and productivity. Log all maintenance work for traceability. Perform bench repairs and contribute to continuous improvement projects. Work collaboratively with the Engineering Manager, Senior Technician, and Weaving Team. Contribute to monthly engineering meetings and risk assessments. About You: Required: Solid mechanical background and confident with hand tools. Strong problem-solving skills with an inquisitive, methodical approach. Ability to manage workload independently and follow technical instruction. Excellent communication skills for clear shift handovers and team collaboration. Comfortable working at height and in a physically demanding role. Willingness to work unsociable hours/shifts as required. Basic computer literacy. Ready to Apply? If you're a hands-on problem-solver looking to join a growing technical team in the textile manufacturing sector, we want to hear from you. Apply today through Outsource UK and take the next step in your engineering career. Inclusion statement Outsource UK is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. You'll receive fair consideration for your application regardless of your race, religion or belief, gender, gender identity or expression, sex, sexual orientation, disability, marriage and civil partnership, pregnancy and maternity, or age. We're proud Corporate Members of the Hidden Disabilities Sunflower. If you need any adjustments at any stage - from application to interview or in your new role - please let us know. We're here to support you every step of the way. We believe diversity of thought and background makes us stronger and we welcome applications from people of all backgrounds and life experiences. TPBN1_UKTJ

Job Description Are you ready to take up a vital role in shaping some of our exciting projects? How about joining our talented team, where everyone has a voice, and together we face our clients' problems head-on. It's a diverse and inclusive work environment where world-class talent knows no distinctions. We know that different people have different priorities, which is why we're here to support you. Flexible and remote working is a central part of our culture. So, talk to us about what's ideal for you - from reduced weeks to buying more leave over school holidays. And if you're returning from a career break, ask us how we can help you transition back into work with us. AtkinsRéalis, Balfour Beatty and Egis Road Operations UK are part of a consortium, creating Connect Plus Services, a unique partnership with a collective strength in highways asset care from finance, through to design, build, maintenance as well as day to day operation. As part of our 30-year remit to manage and improve the capital's orbital motorway network, we deliver major improvement projects, such as widening 38 miles of the M25, refurbishing tunnels and bridges, and installing hundreds of variable messaging signs and gantries, helping to maximise the use of the network and deliver more reliable journeys. Your Purpose: • To develop, implement and continuously improve an asset management strategy to deliver efficient and effective maintenance and renewal activities to the Pavement whilst considering the DBFOs asset management objectives., • Manage where appropriate the more junior staff member and provide mentorship in their continuing development., • To contribute to the development and maintenance of network plans using HAPMS and the Asset management systems. (Agile)., • To provide a long term integrated asset management and value adding approach for Pavements and assist in the development and implementation of an integrated Asset Management System., • Assist with the management and maintenance of Highways England Pavement Management System (HAPMS), to include network referencing, construction updates, and reporting for inclusion in the Asset Management Forward plan., • Collect and manage Highway inventory asset data using HD video and upload into the Asset management systems, Agile assets/CONFIRM databases., • Identify and scope maintenance, renewal and improvement projects to overcome pavement issues., • Assist with the management of technical inspections and machine surveys, to include planning of survey routes, assessment and monitoring of programmes, evaluation of completed surveys identifying missing or incomplete data., • To provide input into the Production of AMFP for road traffic signs to continuously develop / improve the 5 and 30 year programme in order to demonstrate the management of condition in order to meet hand back requirements., • To manage and react to unforeseen events, Watchman reports and HAILS; including being available to be placed on the 24 hour call out register at a minimum of six days in six weeks., • To identify and embrace change and promote innovations as the key to continuous improvement. With this, the identification of potential improvement funding opportunities weighted against Highways England Value Management principles and Contract Change Impact., • To work closely with commercial and financial business areas in order to provide technical support to help the wider business understand (whilst identifying and agreeing with all affected stakeholders) the impact of third party additional works and network improvement schemes on the pavement assets., • Management of pavement assets., • Support the engineers to the highest degree possible., • Engagement with Highways England, DBFO Co and key stakeholders internally., • Liaison with O&M team to assist on technical aspects of maintenance including providing advice for emergency and temporary repairs to pavement assets., • Production of the AMFP for pavements and continuous development / improvement of the 5 and 30 year programme in order to demonstrate the management of condition in order to meet hand back requirements within the DBFO Contract., • Undertake and manage Inspections, lifecycle analysis, Whole Life Assessment and Asset Strategy reviews., • Engage in the identification and implementation of innovation across the business., • To act in a way that demonstrates the values of CPS., • To Contribute to continuously improve the Health and Safety culture across the contract., • To manage and react to unforeseen events, Watchman reports and HAILS; including being available to be placed on the 24 hour call out register at a minimum of six days in six weeks., • Live the Connect Plus Services Values., • Ensure a relentless focus on Zero Harm., • Qualified to degree level or proven experience., • Progressing towards / membership of appropriate Professional Institute (example: ICE, CIHT, or equivalent)., • Familiar with pavement design standards in accordance with the DMRB, MCHW., • General understanding of pavement operations, maintenance and renewal and RWSC., • Skilled in MS Office applications., • Project Management and programming skills., • Knowledge of highway related areas including but not limited to Drainage and Geotechnical. Our Transportation teams are reinventing transport for a challenging yet exciting future. We're creating new ideas and smart solutions for cities, people and the environment. You'll be working alongside some of the top people in our industry, solving challenges that bring together traditional engineering and new technologies. As part of our organisation, you'll be in a privileged position, delivering what's right for governments and communities. You'll be helping us to improve our leading environmental performance while enabling others to do the same. Security clearance: This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. #LI-UK#LI-ATKINS #LI-Transportation #CPSJobs #LI-UKI Worker Type Employee Job Type Regular At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

You will be expected to regularly visit the site from your own personal office, monitoring incidents, machine maintenance, staff welfare and complete risk assessments aligned with inspections and regulations.

Principal Data Scientist London, UK (Hybrid) Up to £135,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities • Translate complex business problems into measurable data science solutions that deliver commercial value, • Lead the design, development, and deployment of predictive and optimisation models across multiple industries, • Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment, • Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions, • Conduct rigorous A/B testing and performance measurement to validate impact, • Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices, • Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: • 5+ years of experience applying data science in commercial settings, • Proven ability to lead data science projects from concept to production, • Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus, • Deep understanding of statistical modelling, predictive analytics, and optimisation techniques, • Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders, • Experience with A/B testing and causal inference methodologies, • Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science), • Excellent communication skills and a collaborative mindset Example Projects You Might Work On • Optimisation models to increase manufacturing throughput, • Predictive models for asset maintenance and downtime reduction, • Customer churn prediction and retention modelling, • Sales optimisation through next-best-action models, • Geospatial analysis to inform store or facility network decisions

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a Data Scientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market. What ou will do * Support research and discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. * Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. * Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new data partners meet our quality standards. * Analyze large datasets to identify trends, patterns, and insights, with an emphasis on data quality and reliability. * Respond to ad hoc requests from internal teams and clients, performing analyses and producing summary results. * Collaborate with cross-functional teams to deliver on broader project goals. * Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. * Support evaluation and validation of both internal and external products to ensure Cint’s success. * Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences. Qualifications What we are looking for * Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields. * 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics. * Ability to manipulate, analyze, and interpret large data sources independently. * Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). * Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks. * Practical experience applying statistical and modeling techniques. * Strong analytical skills with a focus on data validation and accuracy. * Comfortable with learning new methods, tools, and techniques. * Able to complete assigned tasks independently while collaborating on overall project direction and broader project goals * Proficiency in Python (as it relates to statistical analysis and implementing Machine Learning models) Bonus points if you have * Experience with Identity vendors * Experience in online survey methodologies * Experience in Identity graph methodologies * Ability to write and optimize SQL queries * Experience working with big data technologies (e.g. Spark) Additional Information Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. ()

Data Analyst - EV Charging - London (Hybrid) - £35k to £55k Role: Data Analyst Location: London - 3 Days mandatory (Tue/Wed/Thu) Salary: £35k to £55k Company Overview We are a leading UK-based EV charging infrastructure and investment company, backed by over £300M in funding. Our mission is to transform the EV charging landscape by rolling out ultra-fast charging hubs nationwide, supporting the transition to electric mobility. We operate at the intersection of sustainability, technology, and mobility, using data-driven insights to improve performance, customer experience, and long-term strategy. The Role We are seeking a Data Analyst to join our Growth team, working directly with the Chief Growth Officer. This role is central to converting data from our EV charger network into actionable insights that drive smarter business decisions, improve network performance, and support our growth trajectory. With the right ambition and capability, this role offers a career pathway toward a future CTO position. Key Responsibilities • Collect, clean, and analyze data from charging stations, customer applications, usage patterns, and operational systems., • Build dashboards and reports to track KPIs such as utilization, uptime, revenue, and customer behavior., • Identify patterns and trends in charging demand, station performance, and energy consumption., • Deliver insights that support charger placement, load management, predictive maintenance, and growth opportunities., • Work with teams across operations, product, engineering, and business development to embed data-driven thinking., • Support strategic initiatives, pricing models, and new product features with ad-hoc analysis., • Ensure data accuracy, compliance, and integrity across all reporting systems. Candidate Profile • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related field (Master’s desirable)., • 2+ years’ experience as a Data Analyst or in a similar role (experience in EV, energy, or mobility sectors is an advantage)., • Strong technical skills in SQL, Python/R, and data visualization tools (e.g. Power BI, Tableau, Looker)., • Experience with statistical modeling, forecasting, or machine learning preferred., • Ability to communicate complex data clearly and drive actionable business outcomes., • Entrepreneurial mindset, with ambition to grow into leadership and potentially CTO responsibilities. Package & Benefits • Salary: £35,000 – £55,000 (depending on experience)., • Location: Office-based, with 3 mandatory in-office days (Tue/Wed/Thu) and up to 5 days optional., • No benefits during probation., • After probation: discretionary annual bonus & private medical care. If this is of interest please apply on LinkedIn.

DIVISION / DEPARTMENT: Risk Aggregation REPORTS TO: Manager – Exposure Management REGULATORY RESPONSIBILITY: n/a Company Background Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years. Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons. Purpose of the Job From an exposure management perspective, Ki represents a unique opportunity to work within a data and technology rich environment to directly influence the algorithmic underwriting of risks at point of quote in addition to the more traditional post-bind monitoring and reporting of risk aggregations. The team is responsible for ensuring that Ki identify, measure, manage and report catastrophe risks and material exposures across all classes considering both natural and non-natural catastrophe risks with a particular focus on the reporting and communication of these exposures to internal and external stakeholders. In addition, the team plays a critical role in the delivery of Ki’s algorithmic underwriting capabilities through the development and maintenance of data and tools applied in the quotation process to support the optimal selection of risks and allocation of capacity reflecting existing exposures and overall risk-taking capacity. At the heart of this technology and data focused business, the exposure management team works hand in hand with a range of functions spanning actuarial, data science and engineering skills applying a rich universe of external data and emerging risk modelling practices to the understanding, modelling and optimisation of risk exposures. Principal Accountabilities: Lead the preparation, validation, and submission of regulatory reports related to exposure management, ensuring accuracy, completeness, and compliance with regulatory requirements (e.g., RDL/LCM). Analyse large datasets to extract insights related to exposure, risk, and regulatory compliance. Identify trends, anomalies, and areas of concern in regulatory/internal reporting. Monitor changes in regulatory requirements and ensure reporting processes are updated to reflect new rules and standards. Collaborate with compliance and legal teams to interpret regulatory guidelines. Develop and implement process improvements to enhance the efficiency, accuracy, and timeliness of internal and regulatory reporting. Automate reporting workflows where possible using advanced tools and technologies. Assist in assessing exposure risks and their impact on regulatory capital requirements. Provide insights to senior management on regulatory reporting trends and potential risks. Work with the Catastrophe Modeling, Algorithmic Underwriting, Capital Modelling, Actuarial, Risk and other relevant functions to continuously develop the business’ understanding of its risk profile. Provide analytics, management information and reporting to relevant stakeholders (e.g. Underwriting, Outwards Reinsurance, Management and Investors) with a high degree of accuracy and timeliness. Contribute to the development of the company’s view of risk and its implementation in the tools, systems and analytics delivered by the team including the evaluation and adoption of emerging external models. Provide relevant subject matter expert input into wider Risk & Actuarial projects and deliverables. Interact with and maintain good relationships with all internal (e.g., Technology & Data) and external stakeholders (e.g. Model Vendors, Regulators, Brokers and Partner Syndicate Capacity Providers). Work cross-functionally with other team members to support product development and advance Ki’s view of risk across various classes of business and product offerings. Education, Qualifications, Knowledge, Skills and Experience A successful candidate will have: Educated to degree level with relevant background in quantitative risk, actuarial or data science fields. Experience in the Lloyd’s/London Market gained at a (re)insurer, broker, software vendor, regulator, or consultancy exposed to specialty insurance risks. Previous experience developing and operating aggregation and reporting methodologies for physical risks. Strong awareness and understanding of catastrophe modelling approaches and processes gained through direct exposure and / or formal training e.g. CEEM. Previous experience implementing views of risk into aggregation, pricing, and portfolio optimisation and supporting underwriting. Advanced IT skills including data manipulation and modelling tools and interest / experience in emerging data science techniques. A good understanding of the (re)insurance industry and risk / catastrophe modelling concepts. A high level of numeracy skills with a good understanding of actuarial concepts is desirable. Able to work effectively as part of a team and on own initiative with high levels of self-motivation. Good communication skills with the ability to communicate with different levels. The ability to independently prioritise tasks and meet tight deadlines. A positive and flexible approach to work and colleagues. Regulatory Conduct and Rules Act with integrity Act with due skill, care and diligence Be open and co-operative with Lloyd’s, the FCA, the PRA, and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standards of market conduct Act to deliver good outcomes for retail customers. Ki Values Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent. Grow Together: Empower each other to succeed. Recognise the work of our teams, while celebrating individual success. Embrace diverse perspectives so we can develop and grow together. Be Courageous: Think big, push boundaries. Don’t be afraid to fail because that’s how we learn. Test, adapt, improve - always strive to be better.

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a Senior Data Scientist at Cint, you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams, you will deliver data-driven solutions to enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint’s capabilities with market needs, directly influencing strategic decisions for the Exchange. What you will do * Lead the research, discovery, and full-cycle development of machine learning solutions, including model development, deployment, maintenance, and performance evaluation, ensuring seamless integration into production environments for the Cint Exchange. * Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity, supply/demand balance, and their underlying mechanics within the Cint Exchange, providing deep analytical insights. * Independently and confidently carry out complex project planning, development, and maintenance end-to-end with minimal supervision. * Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. * Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. * Define, establish, and drive the development of advanced statistical and machine learning methods, setting modeling standards and best practices. * Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange. * Continuously evaluate and validate both internal and external products to ensure Cint's continued success and the health of the Exchange. * Create clear, effective deliverables that communicate complex insights and recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences. Qualifications What we are looking for * Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. * A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. * Strong ability to manipulate, analyze, and interpret large, complex datasets independently. * Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing). * Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision trees, neural networks, etc.) and their real-world advantages and drawbacks. * Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios. * Proficiency in Python (for statistical and ML package tools). * Proficiency in SQL and working with large-scale databases. * Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior colleagues on their application. Essential Qualities: * Highly accountable self-starter and quick learner, consistently motivated to deliver high-quality, impactful results. * Strong data-driven mindset with the ability to translate abstract business requests into actionable analytical initiatives and solutions. * Excellent written and verbal communication skills, with the ability to explain, defend, and present complex analytical techniques and findings to diverse audiences, including senior leadership and non-experts. * Ability to understand the big picture strategic objectives while ensuring meticulous attention to detail in execution. Bonus points if you have * Experience in marketplace dynamics, matching algorithms, or supply/demand optimization. * Experience with survey exchange platforms. * Knowledge of dynamic pricing models. * Experience with Databricks and using it for scalable data processing and machine learning workflows. * Experience working with big data technologies (e.g., Spark, PySpark). * Experience with online market research methods/products. Additional Information Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. ()

Lead Decision/Data Scientist – Credit London, UK – Hybrid Up to £100,000 + Benefits About the Company We are working with a fast-growing fintech scaleup, who are on a mission to reshape access to financial services across underserved markets. With a strong focus on innovation, collaboration, and data-driven decision-making, the company is building impactful financial products tailored to real customer needs. We’re looking for a Lead Decision Scientist, to lead the development, deployment, and ongoing optimisation of credit risk models. This is a high-impact position at the intersection of data science, risk, and business strategy. You’ll drive lending strategy, own the end-to-end modeling lifecycle, and guide a growing team of analysts as we scale. This role is perfect for someone who thrives on experimentation, has a deep understanding of credit data, and enjoys working in a fast-paced environment. Key Responsibilities • Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data, • Own the full model lifecycle from data sourcing and feature engineering to validation, deployment, and monitoring, • Design and run A/B and champion/challenger tests to improve performance across approval rates, losses, and customer experience, • Analyse credit performance data to deliver insights that guide strategic decisions, • Mentor and support junior analysts/data scientists as the team expands, • Collaborate with data engineering to deploy models into production, • Work closely with stakeholders to define goals, communicate findings, and translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. • 5–7 years of experience in a credit-related data science or decision science role, • Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM, • Strong SQL skills for data extraction and transformation, • Experience working with transactional (e.g., Open Banking) and bureau data (e.g., Experian, Equifax), • Expertise in feature engineering, handling class imbalance, and evaluating model performance using AUC, KS, precision/recall, etc., • Understanding of model monitoring and techniques for identifying drift, • Experience with unsupervised learning (e.g., K-means, PCA, autoencoders) for fraud detection or segmentation, • Exposure to start-up or scale-up environments, • Familiarity with alternative data for credit scoring (e.g., device data, psychometrics) If this role looks of interest, please apply here. Please note - This role cannot offer sponsorship.

Mechanical (HVAC) Design Engineer – Where Decarbonisation meets machine learning. Interested in using machine learning and AI to accelerate decarbonisation within the built environment? Want to work for a firm that rewards you when you do well, and isn’t afraid to try new things? As a recognised leader in decarbonisation projects for blue-chip clients, this Mechanical Contractor continues to set new standards. With around 140 employees across the UK, they provide a true turn-key solution. Everything is delivered in-house, including design, installation, project management, commissioning, and maintenance, ensuring they have full control of quality and certainty of cost in every project. The result? A team that consistently delivers projects on scope, budget, and time, and rewards its employees with three separate bonus payments every year. You'll join a motivated, supportive, and forward-thinking team that's setting new standards in energy efficiency and sustainable design. Due to planned growth, they are now looking for a client-facing Mechanical (HVAC) Design Engineer for their London office. Someone with at least three years of experience in HVAC design and a keen interest in decarbonisation, automation, and AI. Someone with experience in energy efficiency within existing buildings, and a good understanding of controls, heat pumps, and heat recovery systems. You’ll design innovative heating and cooling solutions for major tech, media, leisure, and industrial clients across London and the Southeast. Benefits • Tax-free annual bonus (£3,600), • Ongoing training and development, • 25 days leave, • Hybrid working, two days a week from home, • Option of working from abroad for up to one week at a time., • Uncapped profit share, • Individual bonus (in addition to the profit share described above), • Direct access to the company founder, directors, and other key stakeholders., • Matched pension to 4%, • Payment of 1 x Professional Membership. This is a rare opportunity to combine your HVAC design experience with a passion for AI and machine learning, to help accelerate decarbonization across the built environment. Perfect for someone who thrives on delivering practical solutions and wants to help shape the future of building services through innovation and impact. For more information, please call/email: 07595 071 303/ (3659)

Mechanical Maintenance Technician A fantastic opportunity has arisen for a Mechanical maintenance technician to work for an internationally renowned engineering solutions provider based around the Hounslow area. Salary - £48,000 - £51,000 + Overtime + Great Package (OTE £60k +) Location, commutable from – Hounslow, Middlesex Skills required for the job – Mechanical Maintenance Technician • Maintenance and repairs on a range of automated equipment, • Carry out PPMs, • Mechanical engineering – Machine Installation + Pneumatics, Motors component replacements, • Basic Electrical – Motors, sensors, fault finding etc., • Must have a mechanical qualification Company benefits – • £48,000 - £51,000 + Overtime + Great benefits package, • Good Pension Scheme, • Excellent training and individual career development plans Commutable from: Hounslow, Middlesex Other job titles – Mechanical Maintenance Technician, Multi-skilled maintenance engineer, Maintenance Technician, Facilities maintenance, Utilities maintenance, Shift engineer

Established in 1997 as the first manufacturer of sushi for the UK supermarket industry, Taiko has evolved into the most innovative manufacturer of Sushi, Food To Go, Prepared Meals and Snacking products in the UK, supplying Waitrose, Tesco and Sainsbury’s to name a few. Over the past 25 years Taiko has launched more first to market Sushi and Food to Go products than any other sushi manufacturer in the UK. We are looking to hire a Multi-Skilled Engineer who has passion to work in a food manufacturing industry with electrical and mechanical qualification. • Ability To Work Under Pressure, • Good Communication Skills, • Ability To Manage Contractors on Site, • Able To Read and Understand Electrical And Mechanical Drawing, • Interpersonal Skills, • FMCG Experience, • Health and Safety / Basic Food Hygiene trained, • Must be able to work on 4 on 4 off shift pattern day and nights, • Ability to look after all machinery on site often including manual handling and working at height and varying ambient condition. i.e. freezer or boiler room Equipment & General Site Maintenance: • Conduct routine inspections and preventive maintenance on a variety of food processing machinery, ensuring optimal functionality., • Troubleshoot and diagnose issues in both electrical and mechanical systems, implementing effective solutions promptly., • Execute repairs and replacements of faulty components, minimising equipment downtime., • To deliver Plant Uptime & Maintenance KPIs through planned, preventative & predictive maintenance, • Traceable Reduction in MTTR, • Improve OEE, • High PPM output on pirana, • Minimize Non-conformance as per the set target., • To action improvement work where necessary and control waste, .i.e. time, material and resource. Electrical Work: • Install, maintain, and repair electrical systems, controls, and wiring associated with food production equipment., • Maintain and repair mechanical components, such as motors, conveyors, pumps, and gearboxes., • Collaborate with the maintenance team to address mechanical challenges and improve equipment reliability. Automation and Controls: • Work with programmable logic controllers (PLCs) and human-machine interfaces (HMIs) to troubleshoot and enhance automation processes., • Adhere to health and safety protocols, ensuring a safe working environment for yourself and your colleagues., • Keep abreast of industry regulations and standards, implementing necessary changes to maintain compliance., • Remove defective equipment, if necessary, • Undertaking workplace inspections and audits Documentation: • Maintain accurate records of m

We are looking for a motivated Multi-Skilled Service Engineer to join a market leading company. Reporting directly to the Service Manager you will be a key member in ensuring customer products are kept running. You will be involved in all aspects of planned and reactive maintenance within their operation. With progressive training and development this company is always looking to enhance its employees and their skill sets, whilst additionally being supported by a welcoming team of engineers. The position will appeal to an engineer looking for their next challenging role within in a secure and stable company. Role Description Working on CNC Grinders, Millers & Lathes Carrying out planned maintenance activities Inspections, repairs and routine maintenance Installations on customer sites Troubleshooting and fault finding Carry out effective shift changeover communication routines Timely and effective reporting of required information Skills and Qualifications Experience with Machine Tools HNC in relevant field Time Served Engineer In return for your commitment my client offers a stable and secure career for a technically motivated engineer. TPBN1_UKTJ

Technical Assoc Supv Job ID 228635 Posted 19-Aug-2025 Service line GWS Segment Role type Full-time Areas of Interest Engineering/Maintenance Location(s) London - England - United Kingdom of Great Britain and Northern Ireland Job Title: Technical Supervisor – London Join the Global Leader in Facilities and Corporate Real Estate Management CBRE Global Workplace Solutions is seeking a highly skilled and experienced Technical Supervisor to join our team in London. As a Technical Supervisor, you will be responsible for delivering exceptional technical services to our clients, ensuring compliance with legislative, client, and CBRE health, safety, and environmental programs. About the Role: As a Technical Supervisor, you will be the site point of contact for all technical service delivery, responsible for managing a team of technicians, and ensuring the effective execution of all maintenance work. You will be the driving force behind maximizing self-performed work, managing specialist subcontractors, and identifying business opportunities for increased scope and additional services. Key Responsibilities: • Deliver technical services that meet or exceed client expectations, while ensuring compliance with legislative, client, and CBRE health, safety, and environmental programs, • Manage a team of technicians to deliver technical services, with a focus on maximizing self-performed work, • Manage specialist subcontractors to ensure work is carried out in compliance with regulatory requirements, • Drive continuous improvement in technical service delivery, identifying opportunities for process improvements and cost savings, • Manage allocated budgets in line with service lines, against the contract model, • Provide solutions and associated quotations for small project works, • Identify potential business opportunities for increased scope and additional services, • Carry out maintenance and repair activities as required, • 2+ years of experience in a technical supervisory role, preferably in a facilities management or maintenance environment, • Strong computer skills, including proficiency in work order systems and planning and scheduling software, • Excellent analytical, organizational, and planning skills, • Ability to manage multiple priorities or projects simultaneously and keep them progressing to completion, • Engineering background and competency to accurately estimate labour hours, material requirements, and trade/skills needed to complete a job, • Excellent written and verbal communication skills, with the ability to be approachable and tactful, • Ability to read standard blueprints, machine, and process drawings, and to sketch or redline existing drawings, • Knowledge and understanding of maintenance processes, work order systems, planning and scheduling, and storeroom processes, • Ability to provide familiarization training and demonstrate specific job requirements, • Competitive salary and benefits package, • Opportunity to work with a global leader in facilities and corporate real estate management, • Collaborative and dynamic work environment, • Professional development and growth opportunities If you are a motivated and experienced technical professional looking for a new challenge, please submit your application, including your resume and a cover letter, We look forward to hearing from you!

Description The Asset Risk Senior Risk Modeller role sits in the Asset Risk Function, which has the responsibility for forecasting Motability Operation's key financial risks, including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities You will proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy You will work with the Modelling Manager to oversee the operational delivery of the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and provide steer and challenge to ensure improvements are approved and delivered You will take the lead and proactively engage with the critical thinking and operational activity needed for the accurate and timely delivery of the critical BAU requirements for all key models associated with residual value forecasting, maintenance spend, insurance, customer pricing, and economic capital You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between the models and Asset Risk deliverables You will take the lead and proactively engage with the critical thinking and activity required to deliver the strategic projects from the Modelling team, ensuring all deliverables and outcomes are jointly owned with business SME's You will work with the Modelling Lead to ensure the Modelling Team are as engaged with explaining and owning the outputs and outcomes as they are with operating and developing our models, and with the equivalent engagement from non-modelling teams You will proactively challenge the way we work, and feed into the Asset Risk Strategy roadmap, and support in ad hoc queries where possible You will form collaborative relationships to ensure the Model Team deliverables (BAU and strategic projects) are effectively managed and delivered in line with a matrix way of working approach across the Asset Risk Operational Teams and fellow Asset Risk output owners You will play a pivotal role in ensuring the AR Operational Teams (Programme, Product, Modelling and Data) work closely with each other to support on cross over areas (e.g. tools) and reduce the opportunity for knowledge gaps You will be an effective coach and mentor for the wider Modelling Team, working with the Modelling Manager to ensure the team and individuals have the right skills and development paths to meet the needs of the business. You will be an advocate for Asset Risk, and work with colleagues around the business to promote best practices and skills & knowledge sharing. You will develop collaborative and enduring relationships with the Asset Risk and wider business leadership teams, relevant stakeholders, and be an advocate for Asset Risk and our ways of working You will proactively work with the Modelling Lead to engage with relevant 3rd parties (industry bodies, commentators and experts) to ensure Asset Risk activities are appropriately aligned with external best practice. Qualifications Planning: Ability to coordinate multiple stakeholders, colleagues and deadlines Modelling: Ability to understand, operate, and explain complex models Accuracy & attention to detail: Ensuring accuracy in models and forecasts. Problem solving skills: Ability to develop solutions for complex financial problems. Communication skills: Can explain technical concepts to non-technical stakeholders. Commercial awareness: Can understand the business environment, market trends, and the financial impact of decisions to align models with the organisation's strategic goals. Minimum criteria You'll need all of these. A degree (Bachelor's or Masters) in Statistics, Mathematics, Economics, Data Science, or a related field Experience in forecasting, data analysis, or a related field Experience of delivering complex model updates (operational and development) with the effective communication of model outcomes Proven experience with statistical software (e.g., R, Python, SAS) and forecasting tools Experience managing complex projects and coaching analysts Desirable criteria Experience in the specific industry relevant to the forecasting role (e.g., finance, retail, manufacturing) is highly valuable Experience with advanced analytical techniques, including machine learning and predictive modelling Benefits Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 815,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10. Our values are at the heart of everything we do. They represent ambition, and we look for our people to live and breathe them every day: We find solutions We drive change We care We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available. As a Motability Operations team member, the benefits you can expect are: Competitive reward package including an annual discretionary bonus 15% non-contributory pension (9% non-contributory pension during probation period) 28 days annual leave with option to purchase and sell days Free fresh fruit and snacks in the office 1 day for volunteering Funded Private Medical Insurance cover Electric/Hybrid Car Salary Sacrifice Scheme and Cycle to Work Scheme Life assurance at 4 times your basic salary to give you a peace of mind that your loved ones will receive some financial help Funded health screening for over 50s Voluntary benefits: charitable giving, critical illness insurance, dental insurance, health and cancer screenings for you and your partner, discounted gym memberships and season ticket loans Employee Discount Scheme with an app to save on the go Free access to healthcare apps such as Peppy, Unmind, Aviva Digital GP and volunteering app on Hand for all employees Generous family leave policies At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they're rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender. We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility. TPBN1_UKTJ

Responsible for assisting designated machine operator or production team in a variety of functions including, but not limited to maintenance, clean up, yard work, warehouse, production, utilities, material handling and other. Assists lead operator in preparing for shift production. Previous producti

The Dishwasher is responsible for proper use, care, and maintenance of the dish machine. The Dishwasher is also responsible for minor interior and exterior maintenance (snow & ice removal, trash removal). The Dishwasher is required tokeep a clean supply of dishware, glassware, and silverware as well

The Machine driver will be required to have an understanding in garden maintenance and have an understanding of the machinery used to carry out grounds maintenance tasks. Undertake horticultural operations; hedge trimming, shrub bed maintenance and planting, strimming and blowing, hard surface maint

The Machine driver will be required to have an understanding in garden maintenance and have an understanding of the machinery used to carry out grounds maintenance tasks. Undertake horticultural operations; hedge trimming, shrub bed maintenance and planting, strimming and blowing, hard surface maint

Setting, Fitting, Machine maintenance experience. Setting up the machines to the desired product requirements. As part of a small and friendly team you will provide mechanical repairs to a wide range of manufacturing machinery.

Cleaner - Part Time - Huntington.At Prezzo, we're committed to more than just crafting outstanding food-we're focused on building better careers and creating better moments for everyone.We believe in helping you grow professionally, while ensuring every shift is filled with passion and excitement.Pr

Lilleshall National Sports & Conferencing Centre.Here at Lilleshall our goal is to get more people, more active, more often.We provide affordable access to a wide range of sports and leisure facilities to support healthier and happier people across all segments of the local community.To deliver thos

Cleaner - Kingston upon Thames.Giggling Squid is the largest Thai restaurant group in the UK.At the heart of Giggling Squid are the incredible people, each of whom shares the generosity of spirit that lies behind every great guest experience, from our skilled chefs, to our welcoming front of house s

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Assisting in the day-to-day maintenance of the Club building and areas under the Club’s control including all machinery, lighting, electrical appliances, plumbing and drainage, heating, and air conditioning;. Maintenance Operative - Thames Ditton, Surrey. PPM checks and maintenance issues prioriti

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Conduct routine checks for any maintenance issues and report them.

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Join Our Facilities Team – School Cleaner.Are you someone who takes pride in creating safe, welcoming spaces for others? Do you want to be part of a supportive, professional team that helps schools thrive? If so, we’d love to hear from you.We’re looking for a motivated and reliable Cleaner to

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INTERNAL APPLICANTS MUST APPLY VIA MYSELF.You will be an enthusiastic individual and will work as part of a team responsible for cleaning and ensuring that council buildings are kept in a clean and hygienic condition.You should possess good communication skills, be able to work on your own or as par

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Get cash back and discounts on fuel, electric charging, vehicle maintenance and more through Onsi and bp pulse.

Get cash back and discounts on fuel, electric charging, vehicle maintenance and more through Onsi and bp pulse.

Get cash back and discounts on fuel, electric charging, vehicle maintenance and more through Onsi and bp pulse.

Get cash back and discounts on fuel, electric charging, vehicle maintenance and more through Onsi and bp pulse.

Get cash back and discounts on fuel, electric charging, vehicle maintenance and more through Onsi and bp pulse.

Get cash back and discounts on fuel, electric charging, vehicle maintenance and more through Onsi and bp pulse.

Delivery Driver – Join C&W Transport!.We’re growing fast and need Delivery Drivers to join our winning team.Whether you own a van or need a rental, we’ve got you covered.Start earning immediately with our fast-track sign-up process – it’s quick, easy, and hassle-free!.Why You’ll Love

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Delivery Driver – Join C&W Transport!.We’re growing fast and need Delivery Drivers to join our winning team.Whether you own a van or need a rental, we’ve got you covered.Start earning immediately with our fast-track sign-up process – it’s quick, easy, and hassle-free!.Why You’ll Love