Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. The Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solutions to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities As a Lead Data Specialist, ML Data Ops, you will be responsible for meeting operational and business goals overlooking about 30-40 associates, having expertise in one or more processes/functions. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to): Data Analysis: Conduct in-depth analysis of data to identify patterns, problems, root causes, and potential solutions, leveraging analytical tools and techniques. Stakeholder Collaboration: Collaborate effectively with relevant stakeholders to align data analysis efforts with business goals, ensuring insights drive decision-making and strategic initiatives. Escalation Management: Manage escalations by analyzing data, identifying trends and gaps, and reporting key metrics to facilitate informed decision-making and resolution. Process Improvement: Review standard operating procedures (SOPs), processes, and tools to proactively identify areas for improvement, striving to enhance quality metrics and operational efficiency. Continuous Improvement: Drive continuous improvement initiatives, actively contributing to the Correction of Error (COE) process by documenting data curation and annotation issues and suggesting improvements. Leadership Support: Participate in business reviews with mid-level and senior leadership, providing valuable insights and support to drive strategic objectives. Process Onboarding: Participate in the onboarding of new processes or experiments, ensuring comprehensive documentation and smooth integration into existing workflows. Launch Plan Development: Develop robust launch plans for new team members and oversee progress tracking through the administration of launch plans, ensuring seamless integration and productivity. Training and Coaching: Coach new hires on process tasks and provide feedback to the training team for the customization of training modules, facilitating skill development and performance improvement. Backup Support: Serve as a backup for the identified manager and provide support to the respective team in various aspects, ensuring continuity of operations and effective team functioning. Quality Assurance: Perform quality checks on annotated data with a high level of precision, adhering to annotation guidelines and maintaining data integrity and accuracy. Sensitive Data Handling: Demonstrate willingness to work with sensitive data, including adult content, religious, and other sensitive issues, adhering to privacy and confidentiality protocols. BASIC QUALIFICATIONS - A Bachelor's Degree and relevant experience of 2+ years as a subject matter expert or similar. - Intermediate knowledge and hands-on experience with MS Excel. - Strong written & spoken communication skills. - Strong attention to detail and the ability to successfully manage multiple competing priorities simultaneously. PREFERRED QUALIFICATIONS - Knowledge of SQL, Python scripting and Machine learning. - Understanding of quality related concepts & tools such as 5Ys, 7 QC, F.M.E.A. - Experience in e-commerce and online retail. - Certified Six Sigma Green Belt. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Feb 16, 2025
Full time
Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. The Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solutions to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities As a Lead Data Specialist, ML Data Ops, you will be responsible for meeting operational and business goals overlooking about 30-40 associates, having expertise in one or more processes/functions. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to): Data Analysis: Conduct in-depth analysis of data to identify patterns, problems, root causes, and potential solutions, leveraging analytical tools and techniques. Stakeholder Collaboration: Collaborate effectively with relevant stakeholders to align data analysis efforts with business goals, ensuring insights drive decision-making and strategic initiatives. Escalation Management: Manage escalations by analyzing data, identifying trends and gaps, and reporting key metrics to facilitate informed decision-making and resolution. Process Improvement: Review standard operating procedures (SOPs), processes, and tools to proactively identify areas for improvement, striving to enhance quality metrics and operational efficiency. Continuous Improvement: Drive continuous improvement initiatives, actively contributing to the Correction of Error (COE) process by documenting data curation and annotation issues and suggesting improvements. Leadership Support: Participate in business reviews with mid-level and senior leadership, providing valuable insights and support to drive strategic objectives. Process Onboarding: Participate in the onboarding of new processes or experiments, ensuring comprehensive documentation and smooth integration into existing workflows. Launch Plan Development: Develop robust launch plans for new team members and oversee progress tracking through the administration of launch plans, ensuring seamless integration and productivity. Training and Coaching: Coach new hires on process tasks and provide feedback to the training team for the customization of training modules, facilitating skill development and performance improvement. Backup Support: Serve as a backup for the identified manager and provide support to the respective team in various aspects, ensuring continuity of operations and effective team functioning. Quality Assurance: Perform quality checks on annotated data with a high level of precision, adhering to annotation guidelines and maintaining data integrity and accuracy. Sensitive Data Handling: Demonstrate willingness to work with sensitive data, including adult content, religious, and other sensitive issues, adhering to privacy and confidentiality protocols. BASIC QUALIFICATIONS - A Bachelor's Degree and relevant experience of 2+ years as a subject matter expert or similar. - Intermediate knowledge and hands-on experience with MS Excel. - Strong written & spoken communication skills. - Strong attention to detail and the ability to successfully manage multiple competing priorities simultaneously. PREFERRED QUALIFICATIONS - Knowledge of SQL, Python scripting and Machine learning. - Understanding of quality related concepts & tools such as 5Ys, 7 QC, F.M.E.A. - Experience in e-commerce and online retail. - Certified Six Sigma Green Belt. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Target Openings 1 What Is the Opportunity? At Travelers, we create trusted strategic products and services to unlock the power of our data. Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Manager for Data Engineering you will lead and mentor Data Management team members to achieve planned development and implementation goals and provide optimum supports for all applications within the teams' remit. Covering the design and build of data solutions which capture, explore, transform and utilize data to support Artificial intelligence and business intelligence/insights. You will also liaise with the business and other appropriate departmental managers to identify and implement resilient software applications which meet the needs of the business sponsors. For all applications ensure that the appropriate ongoing IT support requirements are in place. What Will You Do? As a Senior member of the Technology Application and Data Management Group ensure that appropriate resources (for Technology and the business) and budget are available to projects as necessary. To plan and subsequently oversee, the activities and personal development of all team members. Define together with the product owner, the business user requirements and specify, design and develop appropriate solutions ensuring that, where possible, the Travelers preferred design methodologies and software platforms are used. Engage with enterprise architects who oversee the various consumption patterns, platforms and application infrastructure. To implement and develop analytic data products, data movement and data persistence capability and their ongoing support and maintenance. Oversee the operationalizing and automating of all capabilities to ensure secure, supported and scalable solutions. To work with internal/external systems development resources to successfully implement IT solutions. Liaise with software suppliers for support and release of proprietary systems. To ensure that, where applicable, development / implementation schedules are adhered to. To ensure that the team is aware of and adheres to Travelers development lifecycle standards and procedures. To train users to ensure that systems are used effectively. To guide and coach team members to ensure knowledge sharing and to accelerate career development. Be aware of synergies that may be applicable across group members. Provide project updates to line manager and business sponsor on a regular basis, giving details of project status, issues and next period targets. To remain familiar with new technologies and relevant developments in the insurance industry, especially the use of Cloud and AI. Perform other duties as assigned. What Will Our Ideal Candidate Have? Significant experience within Insurance IT, ideally within the Lloyd's Insurance Market. Experience of managing the workloads of a very busy team from project inception through to implementation. Ability to communicate at all levels within the business. Good organizational and administrative skills. Experience of working with third party providers. Key Knowledge of relevant: Lloyds Insurance and Reinsurance Finance GAAP Accounting and Actuarial Reserve Lloyds Regulatory Reports Databases (Data Warehouse, T-SQL, SSIS, SQL Server 2019) ETL Process with Databricks Programming languages (e.g. Python) AWS Skills Agile methodologies and Jira preferable MS Office products (e.g. Access, Excel) What is a Must Have? Bachelor's degree or comprehensive relevant data and analytics, and/or data management experience. What Is in It for You? Private Medical Insurance: On commencement of employment, you are eligible for single cover provided by Travelers, with the option to add cover for your dependents, at your expense through payroll deduction. Retirement: Travelers will make a core contribution of a percentage of salary to your Pension Plan. Additionally, if you decide to contribute to the plan, you will receive an increased company contribution. Holiday Entitlement: Start your career at Travelers with a minimum of 25 days holiday entitlement annually, plus the opportunity to purchase additional days to allow for up to a total of 35 holidays per year. Wellness Programme: The Travelers wellness programme is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health programme provides access to free professional counseling services and other resources that support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards programme that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit .
Feb 16, 2025
Full time
Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Target Openings 1 What Is the Opportunity? At Travelers, we create trusted strategic products and services to unlock the power of our data. Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Manager for Data Engineering you will lead and mentor Data Management team members to achieve planned development and implementation goals and provide optimum supports for all applications within the teams' remit. Covering the design and build of data solutions which capture, explore, transform and utilize data to support Artificial intelligence and business intelligence/insights. You will also liaise with the business and other appropriate departmental managers to identify and implement resilient software applications which meet the needs of the business sponsors. For all applications ensure that the appropriate ongoing IT support requirements are in place. What Will You Do? As a Senior member of the Technology Application and Data Management Group ensure that appropriate resources (for Technology and the business) and budget are available to projects as necessary. To plan and subsequently oversee, the activities and personal development of all team members. Define together with the product owner, the business user requirements and specify, design and develop appropriate solutions ensuring that, where possible, the Travelers preferred design methodologies and software platforms are used. Engage with enterprise architects who oversee the various consumption patterns, platforms and application infrastructure. To implement and develop analytic data products, data movement and data persistence capability and their ongoing support and maintenance. Oversee the operationalizing and automating of all capabilities to ensure secure, supported and scalable solutions. To work with internal/external systems development resources to successfully implement IT solutions. Liaise with software suppliers for support and release of proprietary systems. To ensure that, where applicable, development / implementation schedules are adhered to. To ensure that the team is aware of and adheres to Travelers development lifecycle standards and procedures. To train users to ensure that systems are used effectively. To guide and coach team members to ensure knowledge sharing and to accelerate career development. Be aware of synergies that may be applicable across group members. Provide project updates to line manager and business sponsor on a regular basis, giving details of project status, issues and next period targets. To remain familiar with new technologies and relevant developments in the insurance industry, especially the use of Cloud and AI. Perform other duties as assigned. What Will Our Ideal Candidate Have? Significant experience within Insurance IT, ideally within the Lloyd's Insurance Market. Experience of managing the workloads of a very busy team from project inception through to implementation. Ability to communicate at all levels within the business. Good organizational and administrative skills. Experience of working with third party providers. Key Knowledge of relevant: Lloyds Insurance and Reinsurance Finance GAAP Accounting and Actuarial Reserve Lloyds Regulatory Reports Databases (Data Warehouse, T-SQL, SSIS, SQL Server 2019) ETL Process with Databricks Programming languages (e.g. Python) AWS Skills Agile methodologies and Jira preferable MS Office products (e.g. Access, Excel) What is a Must Have? Bachelor's degree or comprehensive relevant data and analytics, and/or data management experience. What Is in It for You? Private Medical Insurance: On commencement of employment, you are eligible for single cover provided by Travelers, with the option to add cover for your dependents, at your expense through payroll deduction. Retirement: Travelers will make a core contribution of a percentage of salary to your Pension Plan. Additionally, if you decide to contribute to the plan, you will receive an increased company contribution. Holiday Entitlement: Start your career at Travelers with a minimum of 25 days holiday entitlement annually, plus the opportunity to purchase additional days to allow for up to a total of 35 holidays per year. Wellness Programme: The Travelers wellness programme is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health programme provides access to free professional counseling services and other resources that support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards programme that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit .
Business Intelligence Engineer II, IN Prime Analytics and Sciences Amazon Prime is a program that provides millions of members with unlimited one-day delivery, unlimited streaming of video and music, secure online photo storage, access to kindle e-books as well as Prime special deals on Prime Day. In India, Prime members get unlimited free One-Day and Two-day delivery, video streaming and early and exclusive access to deals. After the launch in 2016, the Amazon Prime team is now looking for a detailed oriented business intelligence engineer to lead the business intelligence for Prime and drive member insights. At Amazon, we're always working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a dynamic, organized, and customer-focused Analytics expert to join our Amazon Prime Analytics team. The team supports the Amazon India Prime organization by producing and delivering metrics, data, models and strategic analyses. This is a highly challenging role that requires an individual with excellent team leadership skills, business acumen, and the breadth to work across multiple Amazon Prime Business Teams, Data Engineering, Machine Learning and Software Development teams. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and a proven ability to work in a fast-paced and ever-changing environment. Key job responsibilities Developing a long term analytical strategy and driving the implementation of that strategy. Using analytics to influence multiple departments, increasing their productivity and effectiveness to achieve strategic goals. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that help shape our business roadmap. Large scale data mining to find trends and problems, then communicate and drive corrective action. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. Apply Statistical and Machine Learning methods to specific business problems. Partner with Machine Learning team in Model Building w.r.t. variable definition, model validation and creation of a targeting strategy. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions across Amazon Prime business units. BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with data modeling, warehousing and building ETL pipelines. Experience in Statistical Analysis packages such as R, SAS and Matlab. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling. PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. Posted: December 24, 2024 (Updated about 7 hours ago)
Feb 16, 2025
Full time
Business Intelligence Engineer II, IN Prime Analytics and Sciences Amazon Prime is a program that provides millions of members with unlimited one-day delivery, unlimited streaming of video and music, secure online photo storage, access to kindle e-books as well as Prime special deals on Prime Day. In India, Prime members get unlimited free One-Day and Two-day delivery, video streaming and early and exclusive access to deals. After the launch in 2016, the Amazon Prime team is now looking for a detailed oriented business intelligence engineer to lead the business intelligence for Prime and drive member insights. At Amazon, we're always working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a dynamic, organized, and customer-focused Analytics expert to join our Amazon Prime Analytics team. The team supports the Amazon India Prime organization by producing and delivering metrics, data, models and strategic analyses. This is a highly challenging role that requires an individual with excellent team leadership skills, business acumen, and the breadth to work across multiple Amazon Prime Business Teams, Data Engineering, Machine Learning and Software Development teams. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and a proven ability to work in a fast-paced and ever-changing environment. Key job responsibilities Developing a long term analytical strategy and driving the implementation of that strategy. Using analytics to influence multiple departments, increasing their productivity and effectiveness to achieve strategic goals. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that help shape our business roadmap. Large scale data mining to find trends and problems, then communicate and drive corrective action. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. Apply Statistical and Machine Learning methods to specific business problems. Partner with Machine Learning team in Model Building w.r.t. variable definition, model validation and creation of a targeting strategy. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions across Amazon Prime business units. BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with data modeling, warehousing and building ETL pipelines. Experience in Statistical Analysis packages such as R, SAS and Matlab. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling. PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. Posted: December 24, 2024 (Updated about 7 hours ago)
Associate Professional Services Cloud Consultant Amazon Web Services (AWS), a leader in Cloud Computing, is seeking interns to join our AWS Professional Services TechU program. This is a unique opportunity to play a key role in a fast-growing business and to deliver value to AWS customers of all sizes from startups to global brands. The skills and experiences you gain will be highly sought after throughout the industry and give you the opportunity for the career of a lifetime. You will gain hands-on experience in cloud computing, develop business acumen, and learn about Amazon's peculiar culture. You will work on projects, have the opportunity to obtain the AWS Cloud Practitioner certification, and attend professional development events. AWS Tech U is an accelerated career development program for recent graduates and early career professionals entering technical roles to advance their skills and help customers design flexible and resilient cloud-based solutions. The 12-month onboarding residency program includes a six-month academic curriculum followed by six months of on-the-job training in the field. While in AWS Tech U, you will learn key technical and professional skills from top AWS subject matter experts that you can use in your career working with AWS's customers. The program offers the opportunity to specialize in an area of interest including: DevOps Specialist - A leader in building advanced computing systems that harness continuous integration/continuous deployment pipelines and utilize the strengths of cloud computing to build scalable and economical systems for clients. Cloud Infrastructure Architect - An expert in cloud-based networking and system rollouts. CIAs specialize in network performance, infrastructure provisioning, and building Application Programming Interfaces (APIs). Application Developer - AppDev resources are specialists in designing applications that run natively in the cloud. They are experts in building programs that run on any number of platforms including virtualized instances, containers, or serverless architecture. Data & Analytics - This role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Helping our customers use and integrate Big Data services in what is arguably our industry's most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), MongoDB, and Apache Cassandra. Security Consultant - Supports our services that have a focus on enabling security specialists using AWS Services including Identity Access Management (IAM), GuardDuty, Shield, Key Management Service (KMS), CloudTrail, CloudHSM, Inspector etc. Within AWS, security is job zero, and we believe that solid security practices are the foundation for using the Cloud. We are looking for candidates who are passionate about working with products targeted for security professionals. Come chart your own path at AWS. Key job responsibilities: Build solutions that demonstrate technical breadth and practical knowledge of applicable AWS services. Present technical content to internal and external audiences and collaborate across diverse stakeholder groups to deliver business value for Customers. Contribute to workload discovery, requirements gathering, and preparation of engagement-related presentations. Minimum Requirements: Currently enrolled in, or completed within the last 12 months, an associates, bachelors or master's degree. Experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++. Experience with one or more of the following: networking fundamentals, security, databases (relational and/or NoSQL), operating systems (Unix, Linux, and/or Windows). Enrolled in a degree in business or a STEM related field such as computer science, computer engineering, information technology or related fields. Experience with software development lifecycle (SDLC) and agile/iterative methodologies. Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3. Basic experience setting up cloud environment with AWS. Experience with infrastructure as code, ops automation, and configuration management tools such as Chef, Puppet, or Ansible. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Feb 15, 2025
Full time
Associate Professional Services Cloud Consultant Amazon Web Services (AWS), a leader in Cloud Computing, is seeking interns to join our AWS Professional Services TechU program. This is a unique opportunity to play a key role in a fast-growing business and to deliver value to AWS customers of all sizes from startups to global brands. The skills and experiences you gain will be highly sought after throughout the industry and give you the opportunity for the career of a lifetime. You will gain hands-on experience in cloud computing, develop business acumen, and learn about Amazon's peculiar culture. You will work on projects, have the opportunity to obtain the AWS Cloud Practitioner certification, and attend professional development events. AWS Tech U is an accelerated career development program for recent graduates and early career professionals entering technical roles to advance their skills and help customers design flexible and resilient cloud-based solutions. The 12-month onboarding residency program includes a six-month academic curriculum followed by six months of on-the-job training in the field. While in AWS Tech U, you will learn key technical and professional skills from top AWS subject matter experts that you can use in your career working with AWS's customers. The program offers the opportunity to specialize in an area of interest including: DevOps Specialist - A leader in building advanced computing systems that harness continuous integration/continuous deployment pipelines and utilize the strengths of cloud computing to build scalable and economical systems for clients. Cloud Infrastructure Architect - An expert in cloud-based networking and system rollouts. CIAs specialize in network performance, infrastructure provisioning, and building Application Programming Interfaces (APIs). Application Developer - AppDev resources are specialists in designing applications that run natively in the cloud. They are experts in building programs that run on any number of platforms including virtualized instances, containers, or serverless architecture. Data & Analytics - This role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Helping our customers use and integrate Big Data services in what is arguably our industry's most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), MongoDB, and Apache Cassandra. Security Consultant - Supports our services that have a focus on enabling security specialists using AWS Services including Identity Access Management (IAM), GuardDuty, Shield, Key Management Service (KMS), CloudTrail, CloudHSM, Inspector etc. Within AWS, security is job zero, and we believe that solid security practices are the foundation for using the Cloud. We are looking for candidates who are passionate about working with products targeted for security professionals. Come chart your own path at AWS. Key job responsibilities: Build solutions that demonstrate technical breadth and practical knowledge of applicable AWS services. Present technical content to internal and external audiences and collaborate across diverse stakeholder groups to deliver business value for Customers. Contribute to workload discovery, requirements gathering, and preparation of engagement-related presentations. Minimum Requirements: Currently enrolled in, or completed within the last 12 months, an associates, bachelors or master's degree. Experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++. Experience with one or more of the following: networking fundamentals, security, databases (relational and/or NoSQL), operating systems (Unix, Linux, and/or Windows). Enrolled in a degree in business or a STEM related field such as computer science, computer engineering, information technology or related fields. Experience with software development lifecycle (SDLC) and agile/iterative methodologies. Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3. Basic experience setting up cloud environment with AWS. Experience with infrastructure as code, ops automation, and configuration management tools such as Chef, Puppet, or Ansible. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you passionate about working with Amazon-scale data, analytics, and data science? Do you love bringing data together from diverse systems and sources and working on critical analytics problems for understanding customer behavior and generating actionable insights? Does the idea of partnering with a team of highly experienced machine-learning scientists and engineers excite you? The Science and Analytics team is looking for an experienced, self-driven business-intelligence engineer to help us synthesize data into knowledge across a large number of businesses to help independent authors bring their creativity to customers, detect fraudulent and abusive behavior, and democratize content creation in a safe, efficient, and exciting way. Our team has mature areas and green-field opportunities. We offer technical autonomy, value end-to-end ownership, and have a strong customer-focused culture. Come join us as we revolutionize the book industry and deliver an amazing experience to our authors and readers. Key job responsibilities As a Business Intelligence Engineer at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic support to scientists, product managers, and engineers using this data. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights. You will have ownership of the insights you are building for the business and will play an integral role in tactical decision-making for critical risk areas. About the team Minerva is a cross-functional team of highly experienced scientists, data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk. We also use science to optimize manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business. Minimum Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Feb 15, 2025
Full time
Are you passionate about working with Amazon-scale data, analytics, and data science? Do you love bringing data together from diverse systems and sources and working on critical analytics problems for understanding customer behavior and generating actionable insights? Does the idea of partnering with a team of highly experienced machine-learning scientists and engineers excite you? The Science and Analytics team is looking for an experienced, self-driven business-intelligence engineer to help us synthesize data into knowledge across a large number of businesses to help independent authors bring their creativity to customers, detect fraudulent and abusive behavior, and democratize content creation in a safe, efficient, and exciting way. Our team has mature areas and green-field opportunities. We offer technical autonomy, value end-to-end ownership, and have a strong customer-focused culture. Come join us as we revolutionize the book industry and deliver an amazing experience to our authors and readers. Key job responsibilities As a Business Intelligence Engineer at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic support to scientists, product managers, and engineers using this data. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights. You will have ownership of the insights you are building for the business and will play an integral role in tactical decision-making for critical risk areas. About the team Minerva is a cross-functional team of highly experienced scientists, data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk. We also use science to optimize manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business. Minimum Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Feb 15, 2025
Full time
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Finance Engineering - Vice President Corporate Treasury - Leap Strats In Corporate Treasury (CT) Engineering, you'll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us - a high return for the right risk taken. Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity and managing its risk. The mission statement of this pillar within CT is two pronged: a classic desk strat role of trading's support for all intercompany bookings which impact various Liquidity/Credit limits as well as building modelling & analytics surrounding liquidity explain & trade recommendations. Job Duties Work as a quantitative strategist to build, enhance and analyse mathematical models designed to optimize liquidity usage in the firm. Build quantitative tools to attribute, explain and perform scenario analyses on various liquidity metrics. Write model documents and execute model validation process in accordance with firm policy for quantitative models. Collaborate with non-engineers to explain model behaviour. Basic Qualifications Advanced degrees (PhD or Masters) in quantitative field such as Engineering, Mathematics, or Physics 5+ years of relevant experience, preferably in the financial services industry Strong analytical, mathematical, and programming background Expertise in Python, or similar language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies and risk management. Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Feb 15, 2025
Full time
Finance Engineering - Vice President Corporate Treasury - Leap Strats In Corporate Treasury (CT) Engineering, you'll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us - a high return for the right risk taken. Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity and managing its risk. The mission statement of this pillar within CT is two pronged: a classic desk strat role of trading's support for all intercompany bookings which impact various Liquidity/Credit limits as well as building modelling & analytics surrounding liquidity explain & trade recommendations. Job Duties Work as a quantitative strategist to build, enhance and analyse mathematical models designed to optimize liquidity usage in the firm. Build quantitative tools to attribute, explain and perform scenario analyses on various liquidity metrics. Write model documents and execute model validation process in accordance with firm policy for quantitative models. Collaborate with non-engineers to explain model behaviour. Basic Qualifications Advanced degrees (PhD or Masters) in quantitative field such as Engineering, Mathematics, or Physics 5+ years of relevant experience, preferably in the financial services industry Strong analytical, mathematical, and programming background Expertise in Python, or similar language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies and risk management. Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
The Data Scientist plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities Generative AI Model Development: - Design and develop generative AI models, including language models, image generation models, and multimodal models. - Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms, and self-supervised learning. - Conduct research and stay up-to-date with the latest advancements in the field of generative AI. Data Acquisition and Preprocessing: - Identify and acquire relevant data sources for training generative AI models. - Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards. - Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance. Model Training and Optimization: - Design and implement efficient training pipelines for large-scale generative AI models. - Leverage distributed computing resources, such as GPUs and cloud platforms, for efficient model training. - Optimize model architectures, hyperparameters, and training strategies to achieve superior performance and generalization. Model Evaluation and Deployment: - Develop comprehensive evaluation metrics and frameworks to assess the performance, safety, and bias of generative AI models. - Collaborate with cross-functional teams to ensure the successful deployment and integration of generative AI models into client solutions. Collaboration and Knowledge Sharing: - Collaborate with data engineers, software engineers, and subject matter experts to develop innovative solutions leveraging generative AI. - Contribute to the firm's thought leadership by presenting at conferences and participating in industry events. About the team About AWS BASIC QUALIFICATIONS - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques. - Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques and their applications in generative AI. - Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices. - Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask). - Strong problem-solving, analytical, and critical thinking skills. - Strong communication, collaboration, and leadership skills. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Feb 15, 2025
Full time
The Data Scientist plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities Generative AI Model Development: - Design and develop generative AI models, including language models, image generation models, and multimodal models. - Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms, and self-supervised learning. - Conduct research and stay up-to-date with the latest advancements in the field of generative AI. Data Acquisition and Preprocessing: - Identify and acquire relevant data sources for training generative AI models. - Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards. - Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance. Model Training and Optimization: - Design and implement efficient training pipelines for large-scale generative AI models. - Leverage distributed computing resources, such as GPUs and cloud platforms, for efficient model training. - Optimize model architectures, hyperparameters, and training strategies to achieve superior performance and generalization. Model Evaluation and Deployment: - Develop comprehensive evaluation metrics and frameworks to assess the performance, safety, and bias of generative AI models. - Collaborate with cross-functional teams to ensure the successful deployment and integration of generative AI models into client solutions. Collaboration and Knowledge Sharing: - Collaborate with data engineers, software engineers, and subject matter experts to develop innovative solutions leveraging generative AI. - Contribute to the firm's thought leadership by presenting at conferences and participating in industry events. About the team About AWS BASIC QUALIFICATIONS - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques. - Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques and their applications in generative AI. - Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices. - Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask). - Strong problem-solving, analytical, and critical thinking skills. - Strong communication, collaboration, and leadership skills. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
You will need to login before you can apply for a job. 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 global hybrid work setup (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. Job Summary: As a Data Scientist, you will collaborate with a multi-disciplinary team on a wide range of problems within the Product Analytics Partner & Marketplace Design team. You will bring scientific rigor and statistical methods to the challenges of business growth and partner experience. Data Scientist III, Analytics Are you passionate about data, analytics, and working with top talents to tackle complex problems? If you re motivated about making an impact by gleaning insights and recommendations that drive improvements and you have shown success in using analytics to drive the innovation and user engagement of a product, we want to speak to you! We are seeking an experienced analytics professional to join our Product Analytics & Experimentation Team, supporting the lodging supply partner experience platform initiatives in the spaces of onboarding and contracting. It will be a mid-level individual contributor role partnering with product managers within the Partner Product org. The role will be supporting key business decisions throughout the product development lifecycle that improves the partner experience to drive bottom-line growth. This involves tracking measures of success and supporting metrics, identifying areas of improvement and relevant business questions, developing and prioritizing hypotheses, conducting experiments and interpreting the results, and providing actionable recommendations. What you'll do: Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving partner experience and business results with a religious focus on impactful analytics. Work with multiple stakeholders, lead product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies. Own end to end process in evaluating experiments; proactively see opportunities and recommend new feature or variant for test and learn. Contribute to tracking measures of success and supporting metrics, build accurate and easy to consume dashboards/reports. Collaborate with the product teams in target setting, product performance review and strategy planning. Take initiative to identify current and potential problems and opportunities, and recommend the best solution given the trade-offs. Make business recommendations with effective presentations of findings through visual displays of quantitative information. Who you are: 4+ years of experience in data mining, statistical modelling and business analysis with at least a Bachelor's in an analytical field (STEM) required. Advanced degrees/qualifications in the domain field are a plus but not essential. Experience with data sciences languages such as SQL, Python and/or R. Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Excel, Tableau, Power BI. Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques. A strong analytical thinking and problem-solving skills, including the ability to break down complex scenarios into constituent parameters and to translate complex data findings into clear insights, further complemented by storytelling skills that effectively convey these insights. Demonstrated ability to lead projects and work with different functions (product, strategy, engineering, etc.), identifying needs and managing expectations (meeting deadlines, maximizing impact, and minimizing surprises). Result-oriented, using the most efficient approach. Curiosity and enthusiasm for making an impact along with strong attention to detail, combined with a high level of initiative and ability to thrive in a multi-tasking, dynamic and fast-paced environment. 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 Expediareg; Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50. 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.
Feb 15, 2025
Full time
You will need to login before you can apply for a job. 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 global hybrid work setup (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. Job Summary: As a Data Scientist, you will collaborate with a multi-disciplinary team on a wide range of problems within the Product Analytics Partner & Marketplace Design team. You will bring scientific rigor and statistical methods to the challenges of business growth and partner experience. Data Scientist III, Analytics Are you passionate about data, analytics, and working with top talents to tackle complex problems? If you re motivated about making an impact by gleaning insights and recommendations that drive improvements and you have shown success in using analytics to drive the innovation and user engagement of a product, we want to speak to you! We are seeking an experienced analytics professional to join our Product Analytics & Experimentation Team, supporting the lodging supply partner experience platform initiatives in the spaces of onboarding and contracting. It will be a mid-level individual contributor role partnering with product managers within the Partner Product org. The role will be supporting key business decisions throughout the product development lifecycle that improves the partner experience to drive bottom-line growth. This involves tracking measures of success and supporting metrics, identifying areas of improvement and relevant business questions, developing and prioritizing hypotheses, conducting experiments and interpreting the results, and providing actionable recommendations. What you'll do: Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving partner experience and business results with a religious focus on impactful analytics. Work with multiple stakeholders, lead product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies. Own end to end process in evaluating experiments; proactively see opportunities and recommend new feature or variant for test and learn. Contribute to tracking measures of success and supporting metrics, build accurate and easy to consume dashboards/reports. Collaborate with the product teams in target setting, product performance review and strategy planning. Take initiative to identify current and potential problems and opportunities, and recommend the best solution given the trade-offs. Make business recommendations with effective presentations of findings through visual displays of quantitative information. Who you are: 4+ years of experience in data mining, statistical modelling and business analysis with at least a Bachelor's in an analytical field (STEM) required. Advanced degrees/qualifications in the domain field are a plus but not essential. Experience with data sciences languages such as SQL, Python and/or R. Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Excel, Tableau, Power BI. Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques. A strong analytical thinking and problem-solving skills, including the ability to break down complex scenarios into constituent parameters and to translate complex data findings into clear insights, further complemented by storytelling skills that effectively convey these insights. Demonstrated ability to lead projects and work with different functions (product, strategy, engineering, etc.), identifying needs and managing expectations (meeting deadlines, maximizing impact, and minimizing surprises). Result-oriented, using the most efficient approach. Curiosity and enthusiasm for making an impact along with strong attention to detail, combined with a high level of initiative and ability to thrive in a multi-tasking, dynamic and fast-paced environment. 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 Expediareg; Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50. 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.
Application Architect - Professional Services, AWS Profesional Services Job ID: Amazon Web Services Korea LLC Are you an experienced cloud architect/developer who can assist our customers in architecting, developing and re-engineering applications that can fully leverage the AWS Cloud? Do you like to work on a variety of game changing projects, at the forefront of application development and cloud technology adoption? In order for applications to be cloud optimized they need to be architected correctly enabling them to reap the benefits of elasticity, horizontal scalability, automation and high availability. On the AWS platform services such as Amazon EC2, Auto Scaling, Elastic Load Balancing, AWS Elastic Beanstalk, Amazon Elastic Container Services to name just a few, provide opportunities to design and build cloud ready applications. Amazon Web Services is looking for highly talented hands on technical architects to help accelerate our growing Professional Services business. This is an excellent opportunity to join Amazon's world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies. Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Key job responsibilities We are looking for hands on architects/developers who are passionate about: Helping customers architect scalable, highly available application solutions that leverage AWS services Architecting and developing customer applications to be cloud optimized Working as a technical leader alongside customer business, development and infrastructure teams. Providing deep software development knowledge with respect to cloud architecture, design patterns and programming Advising and implementing AWS best practices Working as both an infrastructure and application development specialist Agile software development and DevOps Implementing DevOps practices such as infrastructure as code, continuous integration and automated deployment Our Consultants work with enterprise customers locally, regionally and potentially domestically. As such, Consultants must have the ability to travel to client locations to sell and deliver professional services as needed. A day in the life This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed. About the team AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. BASIC QUALIFICATIONS Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3) Experience developing software code in one or more programming languages (Java, Python, etc.) PREFERRED QUALIFICATIONS 5+ years of IT implementation experience Experience and technical expertise (design and implementation) in cloud computing technologies Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Feb 15, 2025
Full time
Application Architect - Professional Services, AWS Profesional Services Job ID: Amazon Web Services Korea LLC Are you an experienced cloud architect/developer who can assist our customers in architecting, developing and re-engineering applications that can fully leverage the AWS Cloud? Do you like to work on a variety of game changing projects, at the forefront of application development and cloud technology adoption? In order for applications to be cloud optimized they need to be architected correctly enabling them to reap the benefits of elasticity, horizontal scalability, automation and high availability. On the AWS platform services such as Amazon EC2, Auto Scaling, Elastic Load Balancing, AWS Elastic Beanstalk, Amazon Elastic Container Services to name just a few, provide opportunities to design and build cloud ready applications. Amazon Web Services is looking for highly talented hands on technical architects to help accelerate our growing Professional Services business. This is an excellent opportunity to join Amazon's world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies. Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. Key job responsibilities We are looking for hands on architects/developers who are passionate about: Helping customers architect scalable, highly available application solutions that leverage AWS services Architecting and developing customer applications to be cloud optimized Working as a technical leader alongside customer business, development and infrastructure teams. Providing deep software development knowledge with respect to cloud architecture, design patterns and programming Advising and implementing AWS best practices Working as both an infrastructure and application development specialist Agile software development and DevOps Implementing DevOps practices such as infrastructure as code, continuous integration and automated deployment Our Consultants work with enterprise customers locally, regionally and potentially domestically. As such, Consultants must have the ability to travel to client locations to sell and deliver professional services as needed. A day in the life This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed. About the team AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. BASIC QUALIFICATIONS Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3) Experience developing software code in one or more programming languages (Java, Python, etc.) PREFERRED QUALIFICATIONS 5+ years of IT implementation experience Experience and technical expertise (design and implementation) in cloud computing technologies Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Join Ten10 as a Principal Technical Consultant - Automation Job Type: Permanent Location: London or Leeds (Hybrid working model) Are you ready to take the lead and make an impact? At Ten10, we empower businesses to deliver high-quality software faster and more effectively, and we're looking for a talented Principal Technical Consultant to join our growing team. If you're an experienced leader with a passion for solving complex challenges and mentoring others, this could be your perfect next step. Why Join Ten10? We're proud to be one of the UK's leading independent consultancies for Quality Engineering, Software Testing, RPA, and DevOps . Our mission is simple: help our clients achieve their goals by implementing innovative, high-quality engineering practices. Here's what makes us stand out: Challenging Projects: Work on diverse and impactful projects for clients ranging from start-ups to enterprise-level businesses. Supportive Culture: Be part of a team that values collaboration, innovation, and the growth of every individual. Tailored Growth Opportunities: Receive training and development that's as unique as your career aspirations. Flexibility: Our hybrid working model gives you the balance you need. The Role As a Principal Technical Consultant , you'll bring your extensive knowledge of software engineering, automation, and performance testing to create bespoke solutions for our clients. You'll also take a leadership role, guiding your team to success and leading by example. What You'll Be Doing Design and Develop: Build and support automation or performance test frameworks using the most appropriate solutions. Whether open source or commercial, or a combination . Collaborate with Clients: Work closely with clients to understand their requirements and create tailored QA strategies. Provide Expert Insights: Conduct technical QA health checks to assess and improve client approaches to automation or performance testing. Lead and Mentor: Guide a team of talented engineers, providing mentorship and technical leadership. Innovate: Stay tool-agnostic, recommending new tools and processes to continually enhance our clients' testing capabilities. Deliver Excellence: Create clear, concise documentation and deliver impactful solutions that exceed expectations. What We're Looking For If you don't tick every box but are excited about the role, we'd still love to hear from you. Passion and potential are just as important as experience. Essential Skills & Experience: 10+ years of experience in automation and/or performance testing . Extensive experience in a Consultancy or Managed Service environment. Proven leadership skills, including managing teams of technical testers. Hands-on experience with automation tools like Playwright, Selenium, Cypress, FlaUI, or Katalon . Proficiency in performance testing tools like JMeter, Gatling, K6, Neoload, or Webload . Strong coding skills in at least one language such as Java, TypeScript JavaScript, Python, C# Scala, or PHP. Experience designing and building automation frameworks . Familiarity with Agile development environments (SCRUM, Kanban, TDD, BDD). Implementing pipelines using common tooling such as Jenkins, ADO, GitHub actions, CirlceCI etc. Awareness of the latest developments in testing tools and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . What's in It for You? We believe in rewarding great work. Here's what you can look forward to as part of our team: 25 Days of Annual Leave: Plus 1 extra day for every year of service (up to 3 years) and a holiday buying scheme. Pension Plan: Employer-matched contributions up to 5%. Health Coverage: Medical, dental, optical, and alternative therapies. Fitness Support: Subsidized gym memberships and a bike-to-work scheme. Commuter Benefits: Season ticket loans to make travel easier. Flexible Working: Enjoy hybrid working tailored to your lifestyle. Social Events: Celebrate success at our annual kick-offs, Christmas parties, and team socials. Tailored Development: Access training and certifications to keep your skills sharp and your career on track. Let's Build the Future Together At Ten10, we're passionate about empowering our team to innovate, lead, and succeed. If you're ready to take your career to the next level and help shape the future of quality engineering, we want to hear from you. Apply now and become part of the Ten10 story.
Feb 15, 2025
Full time
Join Ten10 as a Principal Technical Consultant - Automation Job Type: Permanent Location: London or Leeds (Hybrid working model) Are you ready to take the lead and make an impact? At Ten10, we empower businesses to deliver high-quality software faster and more effectively, and we're looking for a talented Principal Technical Consultant to join our growing team. If you're an experienced leader with a passion for solving complex challenges and mentoring others, this could be your perfect next step. Why Join Ten10? We're proud to be one of the UK's leading independent consultancies for Quality Engineering, Software Testing, RPA, and DevOps . Our mission is simple: help our clients achieve their goals by implementing innovative, high-quality engineering practices. Here's what makes us stand out: Challenging Projects: Work on diverse and impactful projects for clients ranging from start-ups to enterprise-level businesses. Supportive Culture: Be part of a team that values collaboration, innovation, and the growth of every individual. Tailored Growth Opportunities: Receive training and development that's as unique as your career aspirations. Flexibility: Our hybrid working model gives you the balance you need. The Role As a Principal Technical Consultant , you'll bring your extensive knowledge of software engineering, automation, and performance testing to create bespoke solutions for our clients. You'll also take a leadership role, guiding your team to success and leading by example. What You'll Be Doing Design and Develop: Build and support automation or performance test frameworks using the most appropriate solutions. Whether open source or commercial, or a combination . Collaborate with Clients: Work closely with clients to understand their requirements and create tailored QA strategies. Provide Expert Insights: Conduct technical QA health checks to assess and improve client approaches to automation or performance testing. Lead and Mentor: Guide a team of talented engineers, providing mentorship and technical leadership. Innovate: Stay tool-agnostic, recommending new tools and processes to continually enhance our clients' testing capabilities. Deliver Excellence: Create clear, concise documentation and deliver impactful solutions that exceed expectations. What We're Looking For If you don't tick every box but are excited about the role, we'd still love to hear from you. Passion and potential are just as important as experience. Essential Skills & Experience: 10+ years of experience in automation and/or performance testing . Extensive experience in a Consultancy or Managed Service environment. Proven leadership skills, including managing teams of technical testers. Hands-on experience with automation tools like Playwright, Selenium, Cypress, FlaUI, or Katalon . Proficiency in performance testing tools like JMeter, Gatling, K6, Neoload, or Webload . Strong coding skills in at least one language such as Java, TypeScript JavaScript, Python, C# Scala, or PHP. Experience designing and building automation frameworks . Familiarity with Agile development environments (SCRUM, Kanban, TDD, BDD). Implementing pipelines using common tooling such as Jenkins, ADO, GitHub actions, CirlceCI etc. Awareness of the latest developments in testing tools and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . What's in It for You? We believe in rewarding great work. Here's what you can look forward to as part of our team: 25 Days of Annual Leave: Plus 1 extra day for every year of service (up to 3 years) and a holiday buying scheme. Pension Plan: Employer-matched contributions up to 5%. Health Coverage: Medical, dental, optical, and alternative therapies. Fitness Support: Subsidized gym memberships and a bike-to-work scheme. Commuter Benefits: Season ticket loans to make travel easier. Flexible Working: Enjoy hybrid working tailored to your lifestyle. Social Events: Celebrate success at our annual kick-offs, Christmas parties, and team socials. Tailored Development: Access training and certifications to keep your skills sharp and your career on track. Let's Build the Future Together At Ten10, we're passionate about empowering our team to innovate, lead, and succeed. If you're ready to take your career to the next level and help shape the future of quality engineering, we want to hear from you. Apply now and become part of the Ten10 story.
Senior Machine Learning Engineer Apply locations London, UK time type Full time posted on Posted Today job requisition id R13623 Job Title: Senior Machine Learning Engineer Job Description Here at UnderwriteMe, we are on a mission to make life insurance more widely accessible and ensure people and their loved ones are protected when the inevitable happens. We are doing this by reshaping the future of insurance through innovative and global technology products. As we work on solving complex problems that will change how lives are protected, we operate in a fast-paced, challenging environment. The type of people who work for us embrace and relish the challenge and in turn the sense of achievement in helping to solve these problems and making an impact on how lives are protected. We place a great emphasis on challenging the status quo and constantly striving to improve on what we do. We want to get to the point where we are leading the way in the software industry. If you want to bring new ideas to the table and be part of a team working on innovative technology, come and join us. Job Description We are currently seeking an innovative Senior AI / Machine Learning Engineer to join UnderwriteMe within the Text Mining team. This role is pivotal in driving the creation of an innovative product set to disrupt the insurance market. What will you be doing? Working within a dynamic cross-functional team that operates based on OKRs (Objectives and Key Results), fostering collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets. Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process, and directly working towards those. Crafting and refining Machine Learning models and algorithms to address complex product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to ensure seamless model deployment and recurrent refinement. Architecting, deploying, and overseeing APIs for effective model delivery, while also leveraging external APIs to enhance functionality. Establishing monitoring and logging systems to evaluate model performance, detect anomalies, and guarantee consistent model dependability and accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained models such as BERT, GPT, or similar transformer-based architectures for domain-specific tasks in the NLP space. Experience in integrating Large Language Models (LLMs) into applications, with a focus on enabling structured responses, such as through APIs or with purpose-built LLMs. Knowledge of prompt engineering techniques, including designing effective prompts for different tasks, optimizing input/output formats, and leveraging techniques such as few-shot learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, and scikit-learn. Experience with data manipulation using libraries such as Pandas and NumPy, and familiarity with parallelization or asynchronous programming. Proficiency in Test-Driven Development (TDD) and an understanding of Python testing libraries such as Pytest. Cloud, CI/CD & MLOps Knowledge: Experience taking models from experiments through to production deployments, with tools such as Docker, Kubernetes & serverless alternatives such as AWS Lambda. Familiarity with MLOps tools such as MLFlow, Kubeflow or Sagemaker. A strong knowledge of cloud platforms (ideally AWS) and their respective services for deploying robust, AI-heavy applications. Bonus Experience: Experience with named entity recognition / recommendation systems. Knowledge of Gitlab's CI/CD (or Github Actions). Basic understanding of Java (ideally with Spring Boot). Experience working in a fast-paced, product-led environment. Experience working with data within the insurance / healthcare sector. Ideal Qualities: The ideal candidate will possess a product-led, entrepreneurial approach to their work, constantly evaluating new technologies which may facilitate improvements to the product and directly relate back to OKRs. Experience in a fast-paced, start-up environment would be a bonus, with the ability to work both proactively and reactively. Exceptional Communicator / Collaborator: The ability to confidently communicate technical concepts to both a technical and non-technical audience (both verbally & written), for example when discussing results, technical approaches, or resolutions to potential blockers. Extensive experience of collaboration with engineers, architects & product teams to enable robust solutions to solve real, well-defined problems. ML/AI Champion: A deep appreciation for the possibilities of ML/AI on the application layer, and a strong desire to work on state-of-the-art applications where your ideas could directly translate to enormous business impact. About UnderwriteMe: UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible. Our core products are: • a best-in-market Underwriting Rules Engine which can be used to automate any structured data within the underwriting journey, and which is sold in the UK & Ireland, Asia-Pacific and North America • the Protection Platform, an end-to-end quote and buy marketplace for Protection in the UK Benefits (Only for Permanent and Fixed Term Employees): Stakeholder Pension Scheme Life Assurance Subsidised Gym Membership Private Medical Insurance Season Ticket Loan Eye Care Employee Assistance Programme Group Income Protection Wellness Benefits As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs, and we will consult with you to ensure suitable accommodation is provided.
Feb 15, 2025
Full time
Senior Machine Learning Engineer Apply locations London, UK time type Full time posted on Posted Today job requisition id R13623 Job Title: Senior Machine Learning Engineer Job Description Here at UnderwriteMe, we are on a mission to make life insurance more widely accessible and ensure people and their loved ones are protected when the inevitable happens. We are doing this by reshaping the future of insurance through innovative and global technology products. As we work on solving complex problems that will change how lives are protected, we operate in a fast-paced, challenging environment. The type of people who work for us embrace and relish the challenge and in turn the sense of achievement in helping to solve these problems and making an impact on how lives are protected. We place a great emphasis on challenging the status quo and constantly striving to improve on what we do. We want to get to the point where we are leading the way in the software industry. If you want to bring new ideas to the table and be part of a team working on innovative technology, come and join us. Job Description We are currently seeking an innovative Senior AI / Machine Learning Engineer to join UnderwriteMe within the Text Mining team. This role is pivotal in driving the creation of an innovative product set to disrupt the insurance market. What will you be doing? Working within a dynamic cross-functional team that operates based on OKRs (Objectives and Key Results), fostering collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets. Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process, and directly working towards those. Crafting and refining Machine Learning models and algorithms to address complex product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to ensure seamless model deployment and recurrent refinement. Architecting, deploying, and overseeing APIs for effective model delivery, while also leveraging external APIs to enhance functionality. Establishing monitoring and logging systems to evaluate model performance, detect anomalies, and guarantee consistent model dependability and accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained models such as BERT, GPT, or similar transformer-based architectures for domain-specific tasks in the NLP space. Experience in integrating Large Language Models (LLMs) into applications, with a focus on enabling structured responses, such as through APIs or with purpose-built LLMs. Knowledge of prompt engineering techniques, including designing effective prompts for different tasks, optimizing input/output formats, and leveraging techniques such as few-shot learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, and scikit-learn. Experience with data manipulation using libraries such as Pandas and NumPy, and familiarity with parallelization or asynchronous programming. Proficiency in Test-Driven Development (TDD) and an understanding of Python testing libraries such as Pytest. Cloud, CI/CD & MLOps Knowledge: Experience taking models from experiments through to production deployments, with tools such as Docker, Kubernetes & serverless alternatives such as AWS Lambda. Familiarity with MLOps tools such as MLFlow, Kubeflow or Sagemaker. A strong knowledge of cloud platforms (ideally AWS) and their respective services for deploying robust, AI-heavy applications. Bonus Experience: Experience with named entity recognition / recommendation systems. Knowledge of Gitlab's CI/CD (or Github Actions). Basic understanding of Java (ideally with Spring Boot). Experience working in a fast-paced, product-led environment. Experience working with data within the insurance / healthcare sector. Ideal Qualities: The ideal candidate will possess a product-led, entrepreneurial approach to their work, constantly evaluating new technologies which may facilitate improvements to the product and directly relate back to OKRs. Experience in a fast-paced, start-up environment would be a bonus, with the ability to work both proactively and reactively. Exceptional Communicator / Collaborator: The ability to confidently communicate technical concepts to both a technical and non-technical audience (both verbally & written), for example when discussing results, technical approaches, or resolutions to potential blockers. Extensive experience of collaboration with engineers, architects & product teams to enable robust solutions to solve real, well-defined problems. ML/AI Champion: A deep appreciation for the possibilities of ML/AI on the application layer, and a strong desire to work on state-of-the-art applications where your ideas could directly translate to enormous business impact. About UnderwriteMe: UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible. Our core products are: • a best-in-market Underwriting Rules Engine which can be used to automate any structured data within the underwriting journey, and which is sold in the UK & Ireland, Asia-Pacific and North America • the Protection Platform, an end-to-end quote and buy marketplace for Protection in the UK Benefits (Only for Permanent and Fixed Term Employees): Stakeholder Pension Scheme Life Assurance Subsidised Gym Membership Private Medical Insurance Season Ticket Loan Eye Care Employee Assistance Programme Group Income Protection Wellness Benefits As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs, and we will consult with you to ensure suitable accommodation is provided.
Who We Are BCG pioneered strategy consulting more than 50 years ago, and we continue to innovate and redefine the industry. We offer multiple career paths for the world's best talent to have a real impact on business and society. As part of our team, you will benefit from the breadth and diversity of what we are doing today and where we are headed next. We count on your authenticity, exceptional work, and strong integrity. In return we are committed to supporting you in discovering the most fulfilling career journey possible-and unlocking your potential to advance the world. Our team called Global Services (GS) provides corporate support to business areas such as Finance, Legal, HR, Marketing and IT. This diverse team of experts, operators and specialists represent all levels from Partner to entry level staff, operating across the globe in multiple countries. Global Services is in short, the backbone of BCG. What You'll Do As a Global IT Software Engineer Senior Manager/Manager - GenAI (seniority will depend on years of experience interview performance), you will play a pivotal role in BCG's AI-driven transformation journey. BCG is committed to leveraging AI to enhance business operations and client solutions, and your role will be instrumental in this mission. You will contribute to the design, development, testing, and deployment of a self-service chatbot utilizing state-of-the-art technologies such as AWS Bedrock, industry-foundational language models, and LangChain. This chatbot will revolutionize IT support by providing efficient, AI-driven solutions. You will assist in applying domain expertise in building and deploying conversational chatbots specifically for IT customer support. This includes ensuring the chatbot integrates seamlessly with IT Service Management tools such as ServiceNow. Your understanding of Service Desk processes will be essential in helping to optimize the chatbot to handle various IT support scenarios effectively. In addition, you will participate in testing, evaluating, and fine-tuning prompts to ensure optimal chatbot performance. You will support the implementation of responsible AI practices and help establish necessary guardrails to ensure the chatbot operates ethically, reliably and effectively. You will collaborate with cross-functional teams to support the successful implementation and integration of the chatbot. Your responsibilities include assisting in the development processes, contributing to the high-quality and timely delivery of solutions, and engaging with stakeholders for requirement gathering and project updates. Additionally, you will help identify potential risks and support the development of mitigation strategies to ensure the seamless deployment and operation of the chatbot. YOU'RE GOOD AT Supporting technical projects and assisting development teams. Collaborating effectively with cross-functional teams and stakeholders. Problem-solving and critical thinking in technical environments. Communicating clearly and concisely, both in writing and verbally. Learning new technologies and continuously improving processes. Strong knowledge and experience in Generative AI/LLM-based development. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure OpenAI/OpenAI) and LLM frameworks (e.g., LangChain, LlamaIndex). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Hands-on experience with IT Service Management tools like ServiceNow, Remedy, or similar. Understanding of Service Desk processes and best practices. Ability to test, evaluate, and fine-tune AI prompts for optimized performance. Knowledge of responsible AI practices and implementing necessary guardrails. Bachelor's degree in computer science, engineering, or equivalent. Proficiency in at least two programming tools/languages (e.g., Java, C/C++, Python). Understanding of SDLC principles and software engineering practices. Familiarity with advanced algorithms, program structures, and API development. Skills in prompt engineering, automated testing, and debugging. Experience in cloud-native application development and CI/CD pipelines. Experience in building and deploying conversational chatbots for IT and/or customer support. What You'll Bring You will be a key member of the IT & Business Platforms (ITBP) team, contributing to the development of BCG's flagship GenAI use case for an IT support chatbot. This chatbot will be a critical component in transforming IT support through AI-driven solutions. Your team will work closely with the Cloud Platform Engineering (CPE) team, which is responsible for building the shared GenAI platform. This platform will support multiple GenAI use cases across the company, ensuring scalable and robust AI solutions. The close collaboration between ITBP and CPE will be essential for the successful implementation and integration of the self-service chatbot and other innovative AI solutions, driving BCG's broader AI transformation agenda. Who You'll Work With BCG's information technology group collaboratively delivers the latest digital technologies that enable our consultants to lead and our business to grow. For our IT jobs, we seek individuals with expertise in the areas of IT infrastructure, application development, business systems, collaborative and social technologies, information security, and project leadership. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Feb 15, 2025
Full time
Who We Are BCG pioneered strategy consulting more than 50 years ago, and we continue to innovate and redefine the industry. We offer multiple career paths for the world's best talent to have a real impact on business and society. As part of our team, you will benefit from the breadth and diversity of what we are doing today and where we are headed next. We count on your authenticity, exceptional work, and strong integrity. In return we are committed to supporting you in discovering the most fulfilling career journey possible-and unlocking your potential to advance the world. Our team called Global Services (GS) provides corporate support to business areas such as Finance, Legal, HR, Marketing and IT. This diverse team of experts, operators and specialists represent all levels from Partner to entry level staff, operating across the globe in multiple countries. Global Services is in short, the backbone of BCG. What You'll Do As a Global IT Software Engineer Senior Manager/Manager - GenAI (seniority will depend on years of experience interview performance), you will play a pivotal role in BCG's AI-driven transformation journey. BCG is committed to leveraging AI to enhance business operations and client solutions, and your role will be instrumental in this mission. You will contribute to the design, development, testing, and deployment of a self-service chatbot utilizing state-of-the-art technologies such as AWS Bedrock, industry-foundational language models, and LangChain. This chatbot will revolutionize IT support by providing efficient, AI-driven solutions. You will assist in applying domain expertise in building and deploying conversational chatbots specifically for IT customer support. This includes ensuring the chatbot integrates seamlessly with IT Service Management tools such as ServiceNow. Your understanding of Service Desk processes will be essential in helping to optimize the chatbot to handle various IT support scenarios effectively. In addition, you will participate in testing, evaluating, and fine-tuning prompts to ensure optimal chatbot performance. You will support the implementation of responsible AI practices and help establish necessary guardrails to ensure the chatbot operates ethically, reliably and effectively. You will collaborate with cross-functional teams to support the successful implementation and integration of the chatbot. Your responsibilities include assisting in the development processes, contributing to the high-quality and timely delivery of solutions, and engaging with stakeholders for requirement gathering and project updates. Additionally, you will help identify potential risks and support the development of mitigation strategies to ensure the seamless deployment and operation of the chatbot. YOU'RE GOOD AT Supporting technical projects and assisting development teams. Collaborating effectively with cross-functional teams and stakeholders. Problem-solving and critical thinking in technical environments. Communicating clearly and concisely, both in writing and verbally. Learning new technologies and continuously improving processes. Strong knowledge and experience in Generative AI/LLM-based development. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure OpenAI/OpenAI) and LLM frameworks (e.g., LangChain, LlamaIndex). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Hands-on experience with IT Service Management tools like ServiceNow, Remedy, or similar. Understanding of Service Desk processes and best practices. Ability to test, evaluate, and fine-tune AI prompts for optimized performance. Knowledge of responsible AI practices and implementing necessary guardrails. Bachelor's degree in computer science, engineering, or equivalent. Proficiency in at least two programming tools/languages (e.g., Java, C/C++, Python). Understanding of SDLC principles and software engineering practices. Familiarity with advanced algorithms, program structures, and API development. Skills in prompt engineering, automated testing, and debugging. Experience in cloud-native application development and CI/CD pipelines. Experience in building and deploying conversational chatbots for IT and/or customer support. What You'll Bring You will be a key member of the IT & Business Platforms (ITBP) team, contributing to the development of BCG's flagship GenAI use case for an IT support chatbot. This chatbot will be a critical component in transforming IT support through AI-driven solutions. Your team will work closely with the Cloud Platform Engineering (CPE) team, which is responsible for building the shared GenAI platform. This platform will support multiple GenAI use cases across the company, ensuring scalable and robust AI solutions. The close collaboration between ITBP and CPE will be essential for the successful implementation and integration of the self-service chatbot and other innovative AI solutions, driving BCG's broader AI transformation agenda. Who You'll Work With BCG's information technology group collaboratively delivers the latest digital technologies that enable our consultants to lead and our business to grow. For our IT jobs, we seek individuals with expertise in the areas of IT infrastructure, application development, business systems, collaborative and social technologies, information security, and project leadership. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Data Scientist - iwocaPay Hybrid in London or Leeds, UK We're looking for a Data Scientist to join our iwocaPay team iwocaPay works with sellers to offer innovative Trade Credit and Buy-Now-Pay-Later (BNPL) solutions for business customers. Those sellers are essential to our success, as we need them to offer iwocaPay to their customers, who in turn use us to spread the cost of their purchase, for improving cash flow and operational flexibility. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The team At iwoca, we're proud to nurture an entrepreneurial spirit within our teams. This is especially true of iwocaPay, a fast-growing start-up within the business, now with a dedicated team of more than 30 people. With iwocaPay, we've created a trade credit solution that has already provided thousands of buyers across the UK with the flexibility to manage cash flow while growing their purchasing power. Our team continues to innovate and expand, driving iwocaPay's mission to make credit available where it's needed most. The role As a Data Scientist within our iwocaPay team, you'll develop insights for our credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers. You'll work collaboratively with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you'll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed to drive the evolution of iwocaPay's risk model and enhance our data capabilities: Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You'll focus on the model's relevance to iwocaPay and the data sources supporting it. Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process. Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model's accuracy and expand its potential applications within iwocaPay. Strategic Data Science Influence: Beyond immediate model improvements, you'll play a pivotal role in shaping iwocaPay's data science roadmap. By identifying emerging data science techniques and championing best practices, you'll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth. The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects end-to-end. Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave,and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: See iwoca benefits & policies for detail and some additional benefits. See interview welcome pack to learn more about the process.
Feb 15, 2025
Full time
Data Scientist - iwocaPay Hybrid in London or Leeds, UK We're looking for a Data Scientist to join our iwocaPay team iwocaPay works with sellers to offer innovative Trade Credit and Buy-Now-Pay-Later (BNPL) solutions for business customers. Those sellers are essential to our success, as we need them to offer iwocaPay to their customers, who in turn use us to spread the cost of their purchase, for improving cash flow and operational flexibility. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The team At iwoca, we're proud to nurture an entrepreneurial spirit within our teams. This is especially true of iwocaPay, a fast-growing start-up within the business, now with a dedicated team of more than 30 people. With iwocaPay, we've created a trade credit solution that has already provided thousands of buyers across the UK with the flexibility to manage cash flow while growing their purchasing power. Our team continues to innovate and expand, driving iwocaPay's mission to make credit available where it's needed most. The role As a Data Scientist within our iwocaPay team, you'll develop insights for our credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers. You'll work collaboratively with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you'll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed to drive the evolution of iwocaPay's risk model and enhance our data capabilities: Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You'll focus on the model's relevance to iwocaPay and the data sources supporting it. Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process. Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model's accuracy and expand its potential applications within iwocaPay. Strategic Data Science Influence: Beyond immediate model improvements, you'll play a pivotal role in shaping iwocaPay's data science roadmap. By identifying emerging data science techniques and championing best practices, you'll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth. The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects end-to-end. Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave,and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: See iwoca benefits & policies for detail and some additional benefits. See interview welcome pack to learn more about the process.
Data Scientist - Customer Lifetime Value Hybrid in London / Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role Your role as a Data Scientist in the CLTV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development: Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and performance monitoring. Clearly communicate and explain any model changes to the business, ensuring transparency and fostering trust in the model's predictions. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights: Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques. Effectively communicate these insights with the broader business to drive value by changing the way iwoca operates. Project ownership and autonomy: Independently develop data science solutions to address iwoca's business challenges, with increasing responsibility in solution design. Maintain strong communications with stakeholders throughout your work to ensure that your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth. The requirements Essential: Ability to effectively communicate with stakeholders and downstream users of the model, and to maintain up-to-date and reliable documentation. Strong problem-solving skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machine learning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python. (Note: we mostly work in Python.) Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services.
Feb 15, 2025
Full time
Data Scientist - Customer Lifetime Value Hybrid in London / Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role Your role as a Data Scientist in the CLTV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development: Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and performance monitoring. Clearly communicate and explain any model changes to the business, ensuring transparency and fostering trust in the model's predictions. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights: Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques. Effectively communicate these insights with the broader business to drive value by changing the way iwoca operates. Project ownership and autonomy: Independently develop data science solutions to address iwoca's business challenges, with increasing responsibility in solution design. Maintain strong communications with stakeholders throughout your work to ensure that your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth. The requirements Essential: Ability to effectively communicate with stakeholders and downstream users of the model, and to maintain up-to-date and reliable documentation. Strong problem-solving skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machine learning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python. (Note: we mostly work in Python.) Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services.
The Role Be at the forefront of exciting data initiatives at Addepar! Addepar is hiring a hands-on engineering manager who will bring to bear their expertise, leadership, and platform management skills to create solutions for Financial Data Lakehouse, AI, and Data Governance. What You'll Do Work in partnership with global product managers and technical partners to identify requirements and priorities, and map out solutions for challenging technology and workflow problems Make Addepar's Data Lakehouse the central financial data hub by establishing integrations with various data sources Build and lead a high-performing team of engineers in EDI who can design, develop, and deploy data Lakehouse solutions with a focus on data integrations Lay a solid foundation of the software architecture for the team by staying hands-on in system design and code development Who You Are Extensive relevant work experience in data platform development and management, with a strong foundation in Python programming and data engineering A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills Practical knowledge of agile practices with an outlook that prioritises experimentation and iteration combined with an ability to guide teams toward activities and processes that facilitate optimal outcomes Comfortable working in a cloud context, with automated infrastructure and service-oriented architecture Our engineering stack has PySpark on Databricks at its core; while experience in these technologies is preferred, there is flexibility to cross-train if coming from another similar context
Feb 15, 2025
Full time
The Role Be at the forefront of exciting data initiatives at Addepar! Addepar is hiring a hands-on engineering manager who will bring to bear their expertise, leadership, and platform management skills to create solutions for Financial Data Lakehouse, AI, and Data Governance. What You'll Do Work in partnership with global product managers and technical partners to identify requirements and priorities, and map out solutions for challenging technology and workflow problems Make Addepar's Data Lakehouse the central financial data hub by establishing integrations with various data sources Build and lead a high-performing team of engineers in EDI who can design, develop, and deploy data Lakehouse solutions with a focus on data integrations Lay a solid foundation of the software architecture for the team by staying hands-on in system design and code development Who You Are Extensive relevant work experience in data platform development and management, with a strong foundation in Python programming and data engineering A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills Practical knowledge of agile practices with an outlook that prioritises experimentation and iteration combined with an ability to guide teams toward activities and processes that facilitate optimal outcomes Comfortable working in a cloud context, with automated infrastructure and service-oriented architecture Our engineering stack has PySpark on Databricks at its core; while experience in these technologies is preferred, there is flexibility to cross-train if coming from another similar context
We are hiring a Staff Software Engineer to join our Data Team. This is a crucial position that will enable us to achieve project deliverables this year. You'll support our Genetic Data Squad, looking at withdrawals, supporting pipeline development and maintenance to support our imputed releases. If you're looking for a new challenge, have experience working with genetic data and want to support our goals, then we'd like to see your application. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. Essential Duties and Responsibilities: Responsible for several interacting data pipelines/flows, ensuring these meet the user, business and technical requirements that have been prioritised. Leading hands-on development of new features, including features to support the deployment of data pipelines at scale (setting up access control configurations, deploying new clusters, building and maintaining databases, deploying database replicas and more). Be able to create MVP development environments and prototype pipelines that can quickly and effectively demonstrate a potential solution. Where possible these would draw on existing workflows developed in industry and academia. Anticipate problems that could occur with pipelines and take action to prevent them. Identify and describe problems when they occur and be able to develop solutions that address them for the short and long term. Provide technical leadership to other engineers, setting standards and helping other people to meet them. Support effective multidisciplinary working with other teams, helping teams understand the role of software engineering in Our Future Health and how to work effectively together. Keep abreast of best practice in software engineering across industry, research and Government, and identify opportunities to bring these into Our Future Health. Though we don't expect you to have experience with each point, to be successful you'll need to have experience working within similar software positions and data. Highly proficient in cloud engineering (preferably in Azure; AWS and GCP). Highly proficient working with Infrastructure as Code (Terraform, Ansible). Demonstrable knowledge and experience in building solutions centred around moving and processing large amounts of data at pace and scale, using cloud-native technologies such as Kubernetes, Helm and Docker. Experience with storing, searching and filtering large scale data. Experience in operationally managing software components/service once live, including: observability best practises, logging best practises, error reporting, debugging and live incident management. Experience using tools such as Grafana, Prometheus, New Relic etc. Highly proficient in Python. Experience in data modelling and design patterns; in-depth knowledge of relational databases (PostgreSQL) and familiarity with data lakehouse formats (storage formats, e.g. Apache Parquet, Delta tables). Experience with Spark, Databricks, data lakes/lakehouses. Experience working with external data suppliers (defining requirements for suppliers, defining Service Level Agreements, attending joint meetings when needed). Experience working in an Agile development team following best practices including GitHub, code review, unit tests, TDD and CI/CD. Experience leading software projects and developing people and teams from a technical perspective. Benefits: Competitive Base Salary. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together.
Feb 15, 2025
Full time
We are hiring a Staff Software Engineer to join our Data Team. This is a crucial position that will enable us to achieve project deliverables this year. You'll support our Genetic Data Squad, looking at withdrawals, supporting pipeline development and maintenance to support our imputed releases. If you're looking for a new challenge, have experience working with genetic data and want to support our goals, then we'd like to see your application. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. Essential Duties and Responsibilities: Responsible for several interacting data pipelines/flows, ensuring these meet the user, business and technical requirements that have been prioritised. Leading hands-on development of new features, including features to support the deployment of data pipelines at scale (setting up access control configurations, deploying new clusters, building and maintaining databases, deploying database replicas and more). Be able to create MVP development environments and prototype pipelines that can quickly and effectively demonstrate a potential solution. Where possible these would draw on existing workflows developed in industry and academia. Anticipate problems that could occur with pipelines and take action to prevent them. Identify and describe problems when they occur and be able to develop solutions that address them for the short and long term. Provide technical leadership to other engineers, setting standards and helping other people to meet them. Support effective multidisciplinary working with other teams, helping teams understand the role of software engineering in Our Future Health and how to work effectively together. Keep abreast of best practice in software engineering across industry, research and Government, and identify opportunities to bring these into Our Future Health. Though we don't expect you to have experience with each point, to be successful you'll need to have experience working within similar software positions and data. Highly proficient in cloud engineering (preferably in Azure; AWS and GCP). Highly proficient working with Infrastructure as Code (Terraform, Ansible). Demonstrable knowledge and experience in building solutions centred around moving and processing large amounts of data at pace and scale, using cloud-native technologies such as Kubernetes, Helm and Docker. Experience with storing, searching and filtering large scale data. Experience in operationally managing software components/service once live, including: observability best practises, logging best practises, error reporting, debugging and live incident management. Experience using tools such as Grafana, Prometheus, New Relic etc. Highly proficient in Python. Experience in data modelling and design patterns; in-depth knowledge of relational databases (PostgreSQL) and familiarity with data lakehouse formats (storage formats, e.g. Apache Parquet, Delta tables). Experience with Spark, Databricks, data lakes/lakehouses. Experience working with external data suppliers (defining requirements for suppliers, defining Service Level Agreements, attending joint meetings when needed). Experience working in an Agile development team following best practices including GitHub, code review, unit tests, TDD and CI/CD. Experience leading software projects and developing people and teams from a technical perspective. Benefits: Competitive Base Salary. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together.
Data Scientist - iwocaPay Hybrid in London or Leeds, UK We're looking for a Data Scientist to join our iwocaPay team iwocaPay works with sellers to offer innovative Trade Credit and Buy-Now-Pay-Later (BNPL) solutions for business customers. Those sellers are essential to our success, as we need them to offer iwocaPay to their customers, who in turn use us to spread the cost of their purchase, for improving cash flow and operational flexibility. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The team At iwoca, we're proud to nurture an entrepreneurial spirit within our teams. This is especially true of iwocaPay, a fast-growing start-up within the business, now with a dedicated team of more than 30 people. With iwocaPay, we've created a trade credit solution that has already provided thousands of buyers across the UK with the flexibility to manage cash flow while growing their purchasing power. Our team continues to innovate and expand, driving iwocaPay's mission to make credit available where it's needed most. The role As a Data Scientist within our iwocaPay team, you'll develop insights for our credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers. You'll work collaboratively with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you'll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed to drive the evolution of iwocaPay's risk model and enhance our data capabilities: Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You'll focus on the model's relevance to iwocaPay and the data sources supporting it. Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process. Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model's accuracy and expand its potential applications within iwocaPay. Strategic Data Science Influence: Beyond immediate model improvements, you'll play a pivotal role in shaping iwocaPay's data science roadmap. By identifying emerging data science techniques and championing best practices, you'll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth. The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects end-to-end. Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave,and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: See iwoca benefits & policies for detail and some additional benefits. See interview welcome pack to learn more about the process.
Feb 15, 2025
Full time
Data Scientist - iwocaPay Hybrid in London or Leeds, UK We're looking for a Data Scientist to join our iwocaPay team iwocaPay works with sellers to offer innovative Trade Credit and Buy-Now-Pay-Later (BNPL) solutions for business customers. Those sellers are essential to our success, as we need them to offer iwocaPay to their customers, who in turn use us to spread the cost of their purchase, for improving cash flow and operational flexibility. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The team At iwoca, we're proud to nurture an entrepreneurial spirit within our teams. This is especially true of iwocaPay, a fast-growing start-up within the business, now with a dedicated team of more than 30 people. With iwocaPay, we've created a trade credit solution that has already provided thousands of buyers across the UK with the flexibility to manage cash flow while growing their purchasing power. Our team continues to innovate and expand, driving iwocaPay's mission to make credit available where it's needed most. The role As a Data Scientist within our iwocaPay team, you'll develop insights for our credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers. You'll work collaboratively with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you'll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed to drive the evolution of iwocaPay's risk model and enhance our data capabilities: Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You'll focus on the model's relevance to iwocaPay and the data sources supporting it. Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process. Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model's accuracy and expand its potential applications within iwocaPay. Strategic Data Science Influence: Beyond immediate model improvements, you'll play a pivotal role in shaping iwocaPay's data science roadmap. By identifying emerging data science techniques and championing best practices, you'll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth. The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects end-to-end. Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers) Advanced knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python (our primary programming language). Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave,and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: See iwoca benefits & policies for detail and some additional benefits. See interview welcome pack to learn more about the process.
Citi is looking to hire an Equity Hybrids trader. Your role as a trader will be to price and trade a variety of equity products for the Citi franchise as well as grow the desk's revenue, whilst looking to expand on Citi's well-established franchise and distribution footprint. By joining this desk, you will be responsible for managing complex risk in the cross-asset trading book across long-dated callables and short-dated leveraged structures. This role requires an individual who can balance long-term growth potential with short-term, high-risk opportunities, which requires complex strategical thinking and a deep understanding of market trends, volatility, and risk management. You will also be expected to lead and support projects to enhance the existing trading strategies by incorporating additional instruments and dynamic procedures. What you will do will be varied day to day, but the key drivers for the role are: Responsible for successfully trading your own book, generating value and maximizing market opportunities. Responsible for flashing the P&L, signing off the P&L the following day, and making sure that all risks are properly captured in the system and clearly articulated. Act as the main point of contact to guide Technology and Quantitative Analytics for IT/Model developments. Liaise with sales to develop the franchise, anticipating client demand in each respective product/market. Primary clients would be both Global Hedge Funds and Global Asset Managers. Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit, Finance to ensure appropriate governance and control infrastructure. Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency. What we will need from you: This is not an entry-level role, so the successful candidate will need to have traded in the past and have experience in managing cross-asset volatility, correlation risk, and preferably rate or cross-asset callable structures. A strong command over probability and logic from a mathematical perspective. Experience of working closely with Sales, Research, and other organizations across Markets to provide market liquidity and help build the Citi franchise through the monetization of client flows. Clear and concise written and verbal communication and effective interpersonal skills to develop and maintain relationships with internal and external stakeholders. A strong understanding of Bloomberg, booking systems, trading protocol, and closing technicalities. Python, VBA, Bloomberg & Excel would be advantageous but not required. What we will provide you: This role will provide you with the opportunity to grow a product line within equities, leveraging a strong franchise. You will work closely with many senior stakeholders across the markets platform in a bank that offers a diverse career path with global opportunities. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model but also receive a competitive base salary and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance-related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits, Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016. Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorized as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role. Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety: Honesty, integrity, and reputation Financial soundness Competence and capability In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above. This assessment will be carried out through extensive interviews, self-disclosures, permitted criminal record checks, regulated reference checks, credit checks, and other background screening checks. Job Family Group: Institutional Trading Job Family: Trading Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the EEO is the Law poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting .
Feb 15, 2025
Full time
Citi is looking to hire an Equity Hybrids trader. Your role as a trader will be to price and trade a variety of equity products for the Citi franchise as well as grow the desk's revenue, whilst looking to expand on Citi's well-established franchise and distribution footprint. By joining this desk, you will be responsible for managing complex risk in the cross-asset trading book across long-dated callables and short-dated leveraged structures. This role requires an individual who can balance long-term growth potential with short-term, high-risk opportunities, which requires complex strategical thinking and a deep understanding of market trends, volatility, and risk management. You will also be expected to lead and support projects to enhance the existing trading strategies by incorporating additional instruments and dynamic procedures. What you will do will be varied day to day, but the key drivers for the role are: Responsible for successfully trading your own book, generating value and maximizing market opportunities. Responsible for flashing the P&L, signing off the P&L the following day, and making sure that all risks are properly captured in the system and clearly articulated. Act as the main point of contact to guide Technology and Quantitative Analytics for IT/Model developments. Liaise with sales to develop the franchise, anticipating client demand in each respective product/market. Primary clients would be both Global Hedge Funds and Global Asset Managers. Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit, Finance to ensure appropriate governance and control infrastructure. Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency. What we will need from you: This is not an entry-level role, so the successful candidate will need to have traded in the past and have experience in managing cross-asset volatility, correlation risk, and preferably rate or cross-asset callable structures. A strong command over probability and logic from a mathematical perspective. Experience of working closely with Sales, Research, and other organizations across Markets to provide market liquidity and help build the Citi franchise through the monetization of client flows. Clear and concise written and verbal communication and effective interpersonal skills to develop and maintain relationships with internal and external stakeholders. A strong understanding of Bloomberg, booking systems, trading protocol, and closing technicalities. Python, VBA, Bloomberg & Excel would be advantageous but not required. What we will provide you: This role will provide you with the opportunity to grow a product line within equities, leveraging a strong franchise. You will work closely with many senior stakeholders across the markets platform in a bank that offers a diverse career path with global opportunities. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model but also receive a competitive base salary and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance-related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits, Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016. Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorized as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role. Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety: Honesty, integrity, and reputation Financial soundness Competence and capability In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above. This assessment will be carried out through extensive interviews, self-disclosures, permitted criminal record checks, regulated reference checks, credit checks, and other background screening checks. Job Family Group: Institutional Trading Job Family: Trading Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the EEO is the Law poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting .
Senior Data Scientist - Customer Lifetime Value Hybrid in London / Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is central to our business, influencing decisions across every department. The CLtV team is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making. Our dynamic and autonomous environment emphasises on 'getting things done' and delivering high quality solutions. You can expect working closely with stakeholders, delivering solutions iteratively to incrementally add value, collecting and addressing feedback, and also providing support to the team and wider business. The role Your role as a Data Scientist in the CLTV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development. Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and performance monitoring. Clearly communicate and explain any model changes to the business, ensuring transparency and fostering trust in the model's predictions. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights. Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques. Effectively communicate these insights with the broader business to drive value by changing the way iwoca operates. Project ownership and autonomy. Independently develop data science solutions to address iwoca's business challenges, with increasing responsibility in solution design. Maintain strong communications with stakeholders throughout your work to ensure that your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The requirements Essential: Ability to effectively communicate with stakeholders and downstream users of the model, and to maintain up-to-date and reliable documentation. Strong problem-solving skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machine learning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python. (Note: we mostly work in Python.) Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: See iwoca benefits & policies for detail and some additional benefits. See interview welcome pack to learn more about the process.
Feb 15, 2025
Full time
Senior Data Scientist - Customer Lifetime Value Hybrid in London / Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is central to our business, influencing decisions across every department. The CLtV team is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making. Our dynamic and autonomous environment emphasises on 'getting things done' and delivering high quality solutions. You can expect working closely with stakeholders, delivering solutions iteratively to incrementally add value, collecting and addressing feedback, and also providing support to the team and wider business. The role Your role as a Data Scientist in the CLTV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development. Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and performance monitoring. Clearly communicate and explain any model changes to the business, ensuring transparency and fostering trust in the model's predictions. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights. Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques. Effectively communicate these insights with the broader business to drive value by changing the way iwoca operates. Project ownership and autonomy. Independently develop data science solutions to address iwoca's business challenges, with increasing responsibility in solution design. Maintain strong communications with stakeholders throughout your work to ensure that your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The requirements Essential: Ability to effectively communicate with stakeholders and downstream users of the model, and to maintain up-to-date and reliable documentation. Strong problem-solving skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machine learning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python. (Note: we mostly work in Python.) Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: See iwoca benefits & policies for detail and some additional benefits. See interview welcome pack to learn more about the process.