140 jobs found

Principal Product Data Scientist I Viator About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. What you will do: As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. What You'll bring to the team: Core Qualifications: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering). Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Current Company Current Title Application Consent Select Tripadvisor collects your personal data for the purposes of managing Tripadvisor's recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes. Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor's behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect . click apply for full job details

Senior Machine Learning Scientist (Viator) London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role offers flexibility, allowing you to work either on-site hybrid or remotely from the UK, Poland, or Portugal. Occasional travel to company offices may be required If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf

Director, International MROI Data Science Lead ROLE SUMMARY Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains together through data and analytics? Pfizer is seeking a senior leader in Data Science to build and lead a best-in-class team focused on Marketing Mix Modeling (MMM) within commercial analytics. This role is responsible for hands-on development and deployment of MMM solutions, driving actionable insights for marketing optimization and ROI. The ideal candidate combines deep technical expertise in MMM with a consulting background, enabling strategic influence across multiple markets and business units. You will collaborate cross-functionally to empower data-driven decision-making, accelerate marketing transformation, and deliver measurable business impact. ROLE RESPONSIBILITIES This role is accountable for delivering data science driven insights & solutions and will partner with senior functional leads for across Commercial analytics to develop and implement models, insights, and data products that drive brands strategic priorities. Lead end to end design, implementation, and refinement of marketing mix models to measure and optimize the effectiveness of marketing channels and tactics (DTC, HCP paid media, emerging platforms). Lead the evolution of analytics methods and processes for Promotion Impact Analytics, Resource Allocation & Optimization at the enterprise level via both technology and process enhancements Build, validate, and deploy econometric and machine learning models (regression, time series, Bayesian, causal inference) for marketing ROI analysis and budget allocation. Partner with marketing, media, agnecies and commercial teams to evaluate campaign performance, forecast outcomes, and recommend strategic investments. Develop and oversee A/B tests, incrementality studies, and causal inference approaches to validate marketing impact. Ensure robust data pipelines, data quality, and governance for marketing analytics datasets. Lead cross functional team of data scientists & data engineers fostering innovation, technical excellence, and continuous learning. Present insights and recommendations to senior stakeholders in clear, actionable formats. Drive adoption of advanced MMM methodologies, including ad-stock, saturation, and response curve modeling. Stay abreast of latest MMM tools, platforms, and industry best practices. Preferred: Experience in consulting, with a proven track record of delivering MMM projects for clients in diverse industries. BASIC QUALIFICATIONS Extensive relevant experience in data science/advanced analytics, including proven time in managerial roles. Significant Hands-on expertise in Marketing Mix Modeling, including regression analysis, time series, Bayesian methods, and causal inference. Experience with open-source MMM frameworks (e.g., LightweightMMM, Robyn, PyMC-based models) Exposure to agent-based media planning, causal ML Experience leading teams or mentoring junior analysts STEM (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis Statistics, Computer Science, Operations Research, Economics, Engineering etc. Industry or consulting experience, along with project management skills strongly preferred Technical Skills Proficient in Python and/or R, with solid understanding of advanced statistics Strong hands-on experience in MMM development & deployment Experience with Bayesian and classical econometric techniques (e.g., hierarchical models, regression, adstock, saturation, priors design) Familiarity with incrementality testing, experimental design, causal inference Ability to build, validate, and maintain scalable MMM pipelines Knowledge of cloud environments (AWS/GCP/Azure), SQL, and data engineering workflows Experience integrating MMM outputs with business dashboards Business & Domain Skills Proven ability to translate data insights into commercial recommendations Understanding of marketing channels, media planning, campaign measurement Knowledge of pharma markets, HCP/DTP promotion strategy, and compliance Ability to partner with marketing, finance, brand teams to influence decisions Experience presenting to C-suite and senior leadership Responsibilities Lead development and enhancement of MMM models for multiple brands/markets Design and maintain ROI optimization frameworks & budget allocation scenarios Combine MMM with experimentation, digital attribution & forecasting Own MMM roadmap, vendor management Build insights playbooks and support annual brand planning & investment decisions NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Up to 15% Work Location Assignment:Hybrid. The closing deadline for applications is January 4th 2026. All applicants must have the relevant authorisation to live and work in the UK / EU as applicable. Purpose Breakthroughs that change patients' lives At Pfizer we are apatient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. Digital Transformation Strategy One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience. Flexibility We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.Lets start the conversation! Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees. DisAbility Confident We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here! Marketing and Market Research JBRP1_UKTJ

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About the Role We are seeking a highly skilled and motivated Senior AI Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Collaborate with geoscientists and engineers to understand requirements and design effective solutions Develop robust Python pipelines for data manipulation Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Champion Python best practices across the team and support the development of junior team members Required Qualifications Honors degree (2:1 or above) in data science/AI or related field. Minimum of 10 years related work experience. Desirable Qualifications Postgraduate qualification in AI or related field Proficiency in Python, with a strong adherence to Python best practices Experience using Git for version control and collaboration Knowledge of secure coding principles Expertise in geospatial libraries such as GeoPandas, Shapely, and GDAL Advanced knowledge of PostgreSQL/PostGIS for spatial data management Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self motivated, detail-oriented, and capable of managing multiple tasks Knowledge of geological or subsurface data domains Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Understanding of data governance and compliance in scientific environments Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation Location 97 Jubilee Avenue, Milton Park,Abingdon,Oxfordshire,OX14 4RW, United Kingdom Requisition Number: 204382 Experience Level:Entry-Level Job Family:Engineering/Science/Technology Product Service Line: division Full Time / Part Time:Full Time Compensation Information Compensation is competitive and commensurate with experience. Job Segment: Database, GIS, Cloud, Data Analyst, Data Management, Technology, Data

A leading design platform in Greater London is seeking a data scientist to provide actionable insights and support product decisions through experimentation and reporting. Candidates should be proficient in SQL and have experience with tools like Snowflake. This role involves building data models, running experiments, and promoting data literacy across teams. A bachelor's degree in STEM is preferred but not mandatory. The position offers flexible leave options and equity packages.

11323SR2 £50k - 70k per year Data Scientist Bristol (2 days onsite) £50,000-£70,000 + Benefits We're recruiting on behalf of our client for an exciting Data Scientist position based in Bristol. This role offers an excellent opportunity for someone who wants to play a key part in elevating how data, analytics, and technology are used across the organisation. As a Data Scientist, you'll work closely alongside the Reporting & Analytics team, engaging directly with business stakeholders to understand their needs and translate data into meaningful insights. You'll be delivering advanced analytics, predictive modelling, and machine learning solutions that support smarter decision-making and help shape the business's future direction. This is a role with real influence - you'll have the scope to introduce new ideas, champion best practices, and contribute to the development of the organisation's wider data and technology landscape. There's also the opportunity to provide guidance to more junior team members and support the continuous improvement of analytics capability across the business. What you can expect: A varied role combining analytics, modelling, visualisation, and stakeholder engagement Influence over the organisation's data and technology approach The freedom to propose new methods, tools, and ways of working Close collaboration with senior stakeholders Hybrid working - 2 days a week onsite in Bristol Technical experience we're looking for: SQL Server, Python, R, Power BI Advanced analytics, predictive modelling & machine learning Data visualisation and clear insight storytelling Experience with Azure and awareness of emerging technologies, including AI Ability to explain complex outputs to non-technical audiences Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice.

An innovative firm is on the lookout for a Senior Data Scientist to enhance their energy supply business. In this pivotal role, you will leverage your strong statistical background and programming skills in Python to develop and implement advanced models. Collaborating closely with the engineering team, you will ensure the accuracy of these models while navigating the complexities of credit risk management. This role not only offers the chance to make a significant impact in the energy sector but also provides a supportive environment for professional growth. If you're passionate about data science and eager to contribute to a forward-thinking company, this opportunity is for you.

A prominent health research charity in the UK is seeking a Senior Scientist to contribute to the development of innovative data products aimed at enhancing health research. This role involves collaborating with various teams to ensure the delivery of high-quality, impactful research solutions. The ideal candidate should possess a deep understanding of data science methods and have experience working with large health datasets. This position offers a competitive salary and flexible/hybrid working arrangements.

Join the team redefining how the world experiences design. Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. What you'd be doing in this role As Canva scales, change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. At the moment, this role is focused on: Find insights that help us understand both Pexels and our customers - we want you to be creative and insightful, rather than just throwing the usual metrics at the wall to see what sticks. Suggest and run interesting experiments that will actually move our metrics - when we push tests to 100% we want to actually see the bump in the relevant graph. Build and maintain dashboards for our product teams, and make them look really good - you don't need to be a designer or have any design talent, you just need to want to build cool things! Own projects, data models, dashboards, and other artefacts and keep them up to date and high quality in a hypergrowth environment. Use our giant databases to answer the sort of questions that sound really simple but turn out to be challenging (and fun!). Help us extend data literacy and curiosity throughout the whole company. You're probably a match if You have strong competency with SQL. Experience with data warehouses such as Snowflake, Redshift, or BigQuery is a plus! You are experienced with data wrangling and analysing data using Python or R. You can demonstrate skills across optimising product funnels, running experiments, and building dashboards that effectively communicate results and outcomes. You may have a grounding in mathematics/statistics and a bachelor's degree in a STEM area (not mandatory). You may have played with very large data sets (not mandatory). You are a strong communicator, verbally and written, with the ability to break down complex topics into simple solutions and ideas. About the team We build Pexels, a free and open platform for real world visuals. Our team connects hundreds of thousands of creators with millions of storytellers, making authentic photos and videos easy to find and safe for commercial use. We focus on community, quality, and real impact. We're looking for a data scientist who is eager to help Pexels forge ahead into a new product space by helping to shape product decisions through actionable insights, experimentation, and reporting. You'll work closely with our product, engineering, community and marketing teams to uncover the right questions to ask and bring strategic thinking to every decision. You'll be part of a dedicated, cross functional squad that supports you in doing your best work. Your coach will guide your personal and professional growth so you can focus on what you love and keep getting better at it. Ship features that help creators track views, downloads, and reach. Run challenges and meetups that surface new talent from everywhere. Curate and grow a diverse library that updates daily. Work in small, autonomous squads with clear goals and a bias to ship. Join us to put human creativity at the centre of how the world sees itself. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too. Inclusive parental leave policy that supports all parents & carers. An annual Vibe & Thrive allowance to support your wellbeing, social connection, office set up & more. Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally. Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardwaresoftware systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (timefrequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna ? filters ? mixers ? ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardwaresoftware product development Interested? Please Click Apply Now!Senior RF Data Scientist / Research Engineer Near Cambridge JBRP1_UKTJ

Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of nearly 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description Our Impact Assessment team are currently recruiting a graduate within our Birmingham office for an June - Sept 2026 start. About our Team Impact Assessment is part of the Environment business, which comprises around 730 professionals across the UK and Republic of Ireland. The team delivers environment and sustainability solutions to both public and private sector clients and plays a leading role in addressing the climate and biodiversity emergencies. It comprises the following practice areas: Acoustics; Air Quality; Ecology; Geospatial & Data Services; Heritage; Landscape; Water Environment; Impact Assessment; Planning; Climate Change, Sustainability & Resilience; Stakeholder Engagement; and ESIA & ESDD (international environment and sustainability work). Our IAPA work includes: Coordinating multidisciplinary environmental inputs across a wide range of infrastructure development projects, helping them to gain development consent Working with clients and design teams to identify environmental constraints, avoid impacts and develop solutions, as well as delivering benefits where possible Coordinating the preparation of environmental assessment reports Post-planning consent support to projects (including during project construction and operation) Projects AECOM are at the forefront of delivering Environmental Impact Assessments for the nationally significant infrastructure projects that are providing for our future. Key projects include sustainable energy generation and transmission and water distribution. Here's what you'll do: We need people with inquiring minds who can ask the questions to understand and then shape projects to achieve environmentally beneficial outcomes. The ability to work with people with different perspectives is essential to understand what Clients really need, what the design means and how it matters to stakeholders. So, communication - verbal and written - to interact with others and seek understanding, is important, but we accept that it is a skill that develops over time. We like people with an appetite to learn and develop - taking personal responsibility, but understanding how to confirm that we are getting to a good outcome. Enjoy the Perks At AECOM, you'll enjoy a range of core and personalised benefits designed to support your future and well-being, customised to fit your lifestyle. Take advantage of career development opportunities, our flexible hybrid working model to ensure a work-life balance that suits your lifestyle, technical practice networks, AECOM University, and volunteering days. Here is what you will get from us! On the job support and learning When a graduate starts at AECOM, we pair them with a senior member of the team who will guide and mentor them through their initial period working on live projects and business development tasks, to support with any technical queries. Graduate Development Programme Our 2-year graduate ADVANCE programme is designed to help you build your career in AECOM. You will attend a number of instructor-led training sessions where you will meet and hear from people across the business and take part in a series of interactive activities to equip you with the knowledge and skills you need to succeed in your role. Alongside the instructor-led elements of the ADVANCE programme, you will also engage with an online curriculum via AECOM University and have the opportunity to join the ADVANCE webinar series. We will provide you with all the support and tools you need to achieve your professional development ambitions, which may include Chartership with the relevant international professional institution eg Institute of Sustainability and Environmental Professionals (ISEP), Institute of Environmental Science (IES). We have more than 750 graduates on our programmes across the UK and Ireland from more than 40 different disciplines, each making a tangible difference to the environment in which we live and work. See our digital early careers e-brochure here Qualifications Ready to push the limits of what's possible? Here's what we're looking for: Ideally, you will have a relevant first degree and, potentially, a relevant post-graduate degree. Relevant first or post-graduate degree subjects include: environmental impact assessment, environmental economics, environmental management, environmental planning, environmental policy, environmental science, geography, housing (sustainable, planning, regeneration and urban management), social science, sustainable development. A good understanding of the potential for digital solutions to assist in tackling environment and sustainability challenges and be able to help us in delivering our digital transformation agenda Willingness and ability to travel is essential. A full driving licence or access to reliable transport would be beneficial as the role will involve travel for site surveys and possible transportation of site equipment Ability to work flexibly under pressure, responding to changing project and programme demands Good communications skills - verbal and written (fluent in English) - with the confidence to engage with a variety of people (clients, colleagues, stakeholders and sub-contractors alike) and the aptitude to rationally explain, explore and discuss technical issues and capture feedback Ability to work as a team Time Management - Work within schedules to coordinate the completion of tasks through to final project completion Willingness and ability to learn Strong research and report writing skills (including web-based research) to support team on technical issues influencing project development Ability to summarise technical information effectively and demonstrate diligent research techniques Strong skills in Microsoft Office specifically Word, Excel, PowerPoint Strong numerate skills Self-starter and enthusiastic, develops and delivers work under own initiative. Solid attention to detail and thorough approach to work Strong organisational skills Commercial awareness for business development, marketing, and proposal preparation. We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at At AECOM, we value everyone's unique contributions and perspectives. If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you! Additional Information Applicants are encouraged to apply as early as possible since CVs will be reviewed, and candidates selected for an advanced offer start. Please include a covering letter with your application and provide all predicted and/or obtained academic grades. You must have permanent right to work in the UK as we are unable to offer visa sponsorship for this position. About AECOM AECOM is the world's trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you're working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families . click apply for full job details

A global energy service provider is seeking a Senior AI Data Scientist for their Abingdon office. The role involves applying advanced data science techniques to geological challenges and requires significant experience in Python, PostgreSQL, and cloud platforms. Key responsibilities include collaborating with engineers, developing data pipelines, and optimizing spatial queries. A minimum of 10 years of experience and an honors degree in a relevant field are essential. This is a full-time position offering competitive compensation.

Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing t click apply for full job details

11323SR £50k - 70k per year Data Scientist Bristol (2 days onsite) £50,000-£70,000 + Benefits We're recruiting on behalf of our client for an exciting Data Scientist position based in Bristol. This role offers an excellent opportunity for someone who wants to play a key part in elevating how data, analytics, and technology are used across the organisation. As a Data Scientist, you'll work closely alongside the Reporting & Analytics team, engaging directly with business stakeholders to understand their needs and translate data into meaningful insights. You'll be delivering advanced analytics, predictive modelling, and machine learning solutions that support smarter decision making and help shape the business's future direction. This is a role with real influence - you'll have the scope to introduce new ideas, champion best practices, and contribute to the development of the organisation's wider data and technology landscape. There's also the opportunity to provide guidance to more junior team members and support the continuous improvement of analytics capability across the business. What you can expect: A varied role combining analytics, modelling, visualisation, and stakeholder engagement Influence over the organisation's data and technology approach The freedom to propose new methods, tools, and ways of working Close collaboration with senior stakeholders Hybrid working - 2 days a week onsite in Bristol Technical experience we're looking for: SQL Server, Python, R, Power BI Advanced analytics, predictive modelling & machine learning Data visualisation and clear insight storytelling Experience with Azure and awareness of emerging technologies, including AI Ability to explain complex outputs to non-technical audiences Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Overview Element has an opportunity for a Finance Manager / Business Partner to join our growing team and support our Materials Testing Cluster in UK. This is a great opportunity to develop your Finance career within a Global testing, inspection and certification TIC business. Responsibilities Provision of financial data to GMs to partner and support business growth Producing management information, cash flow forecasts and provide commentary on results Preparation of annual budget and forecasting plans Performance management - including daily tracking and margin leadership metric reviews Partner with BU leadership Develop and improve control environment through partnering with ops/commercial teams on root cause and resolution action Regular site visits to partner with General Manager, operation directors and relevant functions Skills / Qualifications ACA, ACCA or CIMA preferred Proven experience as a Finance Manager / Business Partner Good ability to communicate clearly and partner with GM and senior stakeholders Good team working skill Positive attitude and pro-active thinking, initiative thinking and flexible approach Ability to identify issues and areas of improvement through analysis Excellent written and verbal communication skills Excellent numeracy skills and analytical mindset Displays a 'can-do' mentality which is focussed on targets and deadlines Persists in overcoming obstacles A self-starter; does not wait for others to solve problems Ability to prioritise workloads and work within a fast paced, changing environment Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to 'Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.

A leading water management company located in Coventry is seeking a Data Science Manager to lead a team of Data Scientists. The successful candidate will need to manage relationships with various stakeholders and demonstrate strong skills in Python and SQL. Ideal applicants will be familiar with Agile methodologies and cloud computing. This role involves communicating analytical results to senior management to deliver effective outcomes and enhance customer experience.