283 jobs found

We are looking for a Data Scientist to develop and deploy advanced analytics and optimisation solutions in a manufacturing environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesia click apply for full job details

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

About You You're a jack-of-all-trades with a passion for cool technology and interacting with people and making them happy. You're a self-starter who's good at triaging problems and working on the most important one. You've worked directly with customers for a long time and are comfortable being the face of the company to them. One of the things that pleases you most in life is customers successfully using your product, being thrilled with its value, and telling you they're happy they partnered with you. Further, you're a curious person, and you'd love the opportunity to work with a technology team that includes data scientists, algorithm experts, back-end and front-end engineers to expand your knowledge. About Us Constructor.io powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. About the Position As a Customer Success Manager, you'll be joining a rapidly growing team that helps our customers increase their revenue by improving the search and product discovery experiences of their websites and mobile apps through integrating with our services. Your specific responsibilities will include: Repaying our customers' trust through ensuring they get live with our product and are thrilled with the results Understand the needs and roles within the enterprise organizations we work with and help to manage prioritizations and misalignments. If two people within a customer ask for different things, your team must understand how to prioritize for the success of the organization without hurting feelings Helping craft and dictate both internal and external narratives for what's needed to make a customer successful Effectively asking for and managing engineering time to ensure important work for customers is prioritized and unimportant requests are resolved with minimal to no engineering resources Fielding and troubleshooting customer support requests Creating and updating customer documentation and training materials as needed Always looking for new ways you can make our integration process more robust and make customers feel even more successful A minimum of three years professional experience dealing directly with customers and large organizations in a role within customer success, technical account management, or solutions consulting Excellent communication and interpersonal skills Know what an API is and have interacted with them before Excellent ability to quickly understand the different roles in an organization, focus on the ones most important to a task, and craft clear narrative to get people behind your ideas Ability to convince and motivate those around you to do what you know is right Enjoy interacting with customers and solving new problems daily Ability and desire to learn quickly, think outside the box, and come up with solutions to problem Located in EMEA Preferably fluent in German A competitive compensation package including stock options Fully remote team - choose where you live Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Parental leave for qualified employees Work with smart people who will help you grow and make a meaningful impact Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

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.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist III - Experimentation Science (Statistical Modeling) Introduction to team: As a Data Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group's experimentation platform. Your work will ensure that every feature change on our website- from button colors to booking flows-is rigorously tested to maximize business impact. This role blends research and practical application, requiring you to design, evaluate, and improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide. In this role, you will: Lead the development and validation of advanced statistical methodologies to support Expedia Group's experimentation platform, ensuring robust and reliable A/B testing across the website's features and user experiences Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform's capabilities and reporting accuracy Provide expert guidance and training to cross-functional teams on experimental design, hypothesis testing, and statistical best practices to optimize test duration, sample size, and overall experiment quality Conduct original research to explore and develop innovative approaches for experimentation challenges, including designing proof of concept studies and integrating new methodologies into production workflows Analyze complex experimental data, build simulation frameworks to quantify error rates, and communicate findings clearly to both technical and non technical stakeholders to inform business decisions What we're looking for: Deep expertise in statistical methodologies, particularly hypothesis testing, design of experiments, and interpretation of p-values and confidence intervals, with the ability to apply these concepts rigorously in an experimentation context Strong analytical mindset with the capability to structure complex business problems and translate them into statistically sound experimental designs and solutions Proficiency in programming with experience in Python, PySpark, R, or similar languages, sufficient to implement and test statistical models and simulations, with an emphasis on correctness over advanced coding skills Demonstrated ability to conduct independent research, quickly learn new statistical techniques, and develop proof of concept models that can be scaled and integrated into production experimentation platforms Excellent communication skills to clearly explain complex statistical concepts and experimental results to both technical and non technical stakeholders, ensuring alignment and understanding across teams Minimum qualifications: A bachelor's degree or higher in Mathematics, Statistics, or a closely related quantitative field, providing a strong foundation in statistical theory and experimental design Proven expertise in hypothesis testing, design of experiments, and statistical methodologies critical to experimentation science Solid programming skills in at least one language such as Python, R, or PySpark, with the ability to write clean, maintainable code to support research and implementation Experience applying statistical rigor to real world business problems, with the ability to independently lead and deploy methodologies at scale Strong analytical mindset with the capacity to research, evaluate, and implement new statistical approaches and simulation frameworks Excellent communication skills to clearly explain complex statistical concepts and results to both technical and non technical stakeholders Ability to work collaboratively within a small, focused team and liaise effectively with platform engineers and business partners Prior experience in experimentation platforms or A/B testing environments is highly desirable Autonomy and accountability to serve as a point of contact for statistical methodologies within the team Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

A recruitment company is seeking a Data Scientist in Bristol. This position involves working closely with stakeholders to transform data into actionable insights through advanced analytics and machine learning. The ideal candidate should have experience in SQL, Python, R, and Power BI. This role combines technical influence and collaboration in a hybrid environment, allowing for innovative contributions to the organisation's data strategy.

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 leading global energy provider in Abingdon is looking for a skilled Data Scientist to join their Subsurface team. This role involves developing robust data manipulation pipelines and applying geospatial techniques to geological challenges. The ideal candidate will have an honors degree in a relevant field, along with experience in Python, Git, and various data science tools. A collaborative mindset and excellent communication skills are essential for this position, where innovation meets the energy industry.

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.

The Role in 30 Seconds Full time Data Scientist Build and deploy cutting edge AI and ML solutions for diverse clients (from Government to Startups). Gain full stack delivery experience across an array of industries while benefiting from investment in your professional growth and expertise. Working at Coefficient You'll be involved in a wide variety of projects, from cutting edge AI solutions for the UK government to building transformative tools across a range of industries. This isn't just a standard Data Science position; you will gain hands on experience by delivering end to end data science and engineering solutions for our clients, alongside building and improving our own internal products. You can also expect plenty of mentoring and guidance along the way: we aim to be best in class at what we do, and we want to work with people who share that same attitude. As a unique and fast growing consultancy, this is an excellent opportunity to make a significant impact and shape our future success. About Coefficient Coefficient is afull stack data consultancydedicated to helping organisations solve their toughest challenges usingdata science,software engineering,machine learning,analytics, andartificial intelligence. Consulting & Delivery:We partner with clients to deliver end to end solutions, combining statistical expertise with agile delivery. This might involve developing cutting edge models for a UK government agency, or working as an in house team with a fast growing tech start up. Training:Beyond consulting, we create and deliver tailored training programmes via workshops, online learning, and hybrid curriculum to help our clients build their own internal skills. Past clients includeBNP Paribas,EY,Hawk Eye, theBBC,ACCA, CIOT, and theMetropolitan Police. We enjoy variety in our work. One week, you might be developing high speed trading algorithms; the next, you could be optimising logistics for delivery drivers or building election forecasting models. Our Team and Culture Our team is our greatest asset.We invest heavily in professional development through our "10% Time" programme and our annual conference budget. We work with highly intelligent and passionate people who take pride in their work and enjoy a high level of independence. Our ideal candidate would: Be comfortable using Python and SQL for data analysis, data science, and/or machine learning. Have used any libraries in the Python Open Data Science Stack (e.g. pandas, NumPy, matplotlib, Seaborn, scikit learn). Enjoy sharing knowledge, experience, and passion with others. Be passionate about leveraging the latest LLM tooling for accelerated AI enhanced delivery without compromising on quality. Have great communication skills. You will be expected to write and contribute towards presentation slide decks to showcase our work during sprint reviews and client project demos. We recognise that diverse teams are the most successful teams, and we know some people are less likely to apply for the role unless they are 100% qualified. Please do not worry if you don't meet every single requirement listed. We strongly encourage you to apply if this role excites you and you believe you have the potential to grow here. If you are unsure, please reach out to us - we would genuinely love to hear from you. We are committed to fostering a diverse, inclusive, and empowering culture at Coefficient. Location and Eligibility Requirements This is a UK based, hybrid role. While we operate remotely for most of the month, we value in person collaboration and regularly gather the whole team. The successful candidate must be able to travel to London for on site work approximately 2-4 days per month. Eligibility: You must already have the right to work in the UK. Visa Sponsorship: Please note, we are unable to offer sponsorship for a Skilled Worker visa for this position. Students: We are unable to consider applications from candidates currently in full time education (including PhD students). The Basics Location: We are based in Central London, but we are remote friendly. You may be required to work on site at clients' offices. Salary: £38,000 annual salary with a meaningful uplift following a performance review at the successful 3 month probation mark. Holiday: 33 days of annual paid holiday, including bank holidays. Pension: We're set up with Smart Pension to make sure we're contributing to help you save for retirement. Performance Reviews: Regular check ins to ensure you're progressing in your career and maximising your potential. Opportunity: To be part of a unique and exciting company that prizes excellence of work. You will work closely with the CEO and become part of a dedicated and forward thinking team. We want you to push yourself to learn new skills and be recognised as one of the best in your field. ️ Commitment: We were one of the first 80 signatories of TechZero. We are committed to challenging the status quo and are always looking for ways to make a positive impact. Co working Spaces: Regular co working days at different locations in London with the team plus full access to the Hubble co working network at all times to use a space near where you live. Learning and Professional Development: Potential to improve skills through paid courses and subscriptions. We encourage all our team to engage with professional communities, we actively sponsor PyData Meetups and Humble Data, and we provide additional support for anyone wishing to speak at meetups/conferences. ️ Conference Budget: £1000 per employee in year 1, rising to £2000 by year 3. This can help cover tickets, accommodation, and travel to attend relevant conferences. Spill: All in one mental health support programme with on demand access to a variety of support. We cover 8 hours of therapy with a remote therapist for each team member every year, worth up to £520. Headspace: Paid membership to Headspace to encourage good daily mental practices. 10% Time: 4 hours per week dedicated to improving skills or pursuing your own project. Laptop & Peripherals: Company owned Apple laptop plus peripherals such as a monitor and keyboard, for making remote working both comfortable and safe. Team Culture: We have a fantastic small team who enjoy socials together - everything from guided walking tours to escape rooms to Bake Off experiences. What to expect from the hiring process: We aim for a transparent, efficient, and enjoyable hiring process. Here is what you can expect: Round 1: Application Screening We review your application materials (CV, screening questions, and code samples) to assess the initial match. Note: Your application must include answers to the screening questions and code samples to proceed beyond this stage. Round 2: One Way Video Interview (Non Technical) This is designed for us to get a better sense of your interests and personality outside of your technical skills. Round 3: Practical Coding Exercise (1 hour) You will be booked for a 1 hour slot to complete a coding test. This exercise is carefully designed to mirror the practical, real world data tasks you can expect to do at Coefficient. Round 4: Technical Interview (1 hour) You will meet with a member of our Data Team for a deep dive into the technical skills required for the role. Expect a collaborative session, including pair programming, to see how you approach problems in a team environment. Round 5: Final Conversation with the CEO This is an opportunity to discuss your motivations, long term career goals, and ensure a strong cultural alignment. We want to know that you'll be a great fit for our team, but we also want to help you achieve your goals. ️ Our Commitment to You Speed:We are committed to moving quickly with this role, and you can expect swift feedback after each completed round. Feedback Policy:We are unfortunately unable to offer feedback before Round 2. Feedback for subsequent rounds will always be provided if requested. Please ensure that emails from our hiring platform (Workable) are not being filtered into your spam/junk folder. We want to make sure you receive all correspondence promptly! Due to a large volume of applications, we are unable to consider applicants without code samples and submitted screening questions.

A fast-growing finance company is seeking a Back End Engineer to join their Offers Team in London. You'll be instrumental in optimizing the offer-generation systems critical for serving SMEs. Responsibilities include collaborating with data scientists, redesigning architecture, and developing user interfaces. The ideal candidate should have proficiency in Python, experience with relational databases, and strong communication skills. The role offers a salary between £65,000 - £80,000, flexible working, and a supportive culture focused on professional growth.