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.
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.
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.
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.
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.
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.
Software Engineer - AI/ML, AWS Neuron Distributed Training - Multimodal AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Inferentia (Inf1/Inf2) and Trainium (Trn1), our cloud-scale Machine Learning accelerators. This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Python is a must. FSDP (Fully-Sharded Data Parallel), Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities: You will help lead the efforts building distributed training support into Pytorch, Tensorflow using XLA and the Neuron compiler and runtime stacks. You will help tune these models to ensure highest performance and maximize the efficiency of them running on the custom AWS Trainium and Inferentia silicon and the Trn1, Inf1/2 servers. Strong software development and Machine Learning knowledge are both critical to this role. About the team: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS: - Bachelor's degree in computer science or equivalent - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Experience in machine learning, data mining, information retrieval, statistics or natural language processing PREFERRED QUALIFICATIONS: - Master's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience in computer architecture - Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. - Previous experience with training multi-modal models for understanding and generating images/videos/audios 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. 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: January 13, 2025 (Updated 42 minutes ago) Posted: February 6, 2025 (Updated about 1 hour ago) Posted: February 13, 2025 (Updated about 2 hours ago) Posted: January 30, 2025 (Updated about 2 hours ago) Posted: February 3, 2025 (Updated about 2 hours ago)
Feb 15, 2025
Full time
Software Engineer - AI/ML, AWS Neuron Distributed Training - Multimodal AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Inferentia (Inf1/Inf2) and Trainium (Trn1), our cloud-scale Machine Learning accelerators. This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Python is a must. FSDP (Fully-Sharded Data Parallel), Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities: You will help lead the efforts building distributed training support into Pytorch, Tensorflow using XLA and the Neuron compiler and runtime stacks. You will help tune these models to ensure highest performance and maximize the efficiency of them running on the custom AWS Trainium and Inferentia silicon and the Trn1, Inf1/2 servers. Strong software development and Machine Learning knowledge are both critical to this role. About the team: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS: - Bachelor's degree in computer science or equivalent - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Experience in machine learning, data mining, information retrieval, statistics or natural language processing PREFERRED QUALIFICATIONS: - Master's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience in computer architecture - Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. - Previous experience with training multi-modal models for understanding and generating images/videos/audios 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. 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: January 13, 2025 (Updated 42 minutes ago) Posted: February 6, 2025 (Updated about 1 hour ago) Posted: February 13, 2025 (Updated about 2 hours ago) Posted: January 30, 2025 (Updated about 2 hours ago) Posted: February 3, 2025 (Updated about 2 hours ago)
Senior Data Scientist - Partnerships Strategy Hybrid in London, or Remote within UK We're looking for a Data Scientist to join our Partnerships Strategy team Our partnerships bring us more than half of iwoca's new customers and power iwoca's growth. The partnerships strategy team provides guidance and support to the commercial teams through data- and test-driven analyses and recommendations. As a data scientist in the team, you'll conduct and analyse experiments and develop statistical models, in order to optimise partner engagement, pricing, and commission strategies. Your work will directly shape how we strengthen partner relationships, maximise profit, and improve customer acquisition efficiency. 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 data analysis, 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 The Partnership Strategy team is a small, interdisciplinary group of five, including commercial strategy, business analysis, and data science. They work closely with commercial teams, translating business decisions into quantitative problems and delivering insights in a clear, actionable way. The role As the senior data scientist in Partnerships Strategy, you will be responsible for planning, carrying out, and explaining various experiments as well as developing models to predict partner and customer behaviour. Projects we are currently working on include: Introducer business model test: How do introducers' operations, customer bases, and preferences differ from one another? Is there any benefit in offering different types of services or treatments to different introducers? If so, how can we determine these? Pricing strategy testing: How can we use pricing to encourage partners to send us more applications or sell more loans overall? Relationship management testing: How much time is needed to build and maintain strong relationships with brokers and partners of a given size, and how many staff members do we need for this? Operations task management testing: What tasks, such as reminding brokers to submit documents or draw down funds, should account managers be doing? How should they be doing them, e.g. through emailing or through phone calls? How many staff members do we need for this? The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, Statistics, 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. Expert understanding of Bayesian statistics, and ideally should be comfortable with hierarchical Bayesian models. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers). Advanced knowledge of stochastic processes and related mathematical techniques. 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 - £120,000 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 great place to work: Offices in London, Leeds, Frankfurt, and Berlin with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits 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 external counselling and therapy sessions for team members that need emotional or mental health support. 3% pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work 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 - Partnerships Strategy Hybrid in London, or Remote within UK We're looking for a Data Scientist to join our Partnerships Strategy team Our partnerships bring us more than half of iwoca's new customers and power iwoca's growth. The partnerships strategy team provides guidance and support to the commercial teams through data- and test-driven analyses and recommendations. As a data scientist in the team, you'll conduct and analyse experiments and develop statistical models, in order to optimise partner engagement, pricing, and commission strategies. Your work will directly shape how we strengthen partner relationships, maximise profit, and improve customer acquisition efficiency. 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 data analysis, 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 The Partnership Strategy team is a small, interdisciplinary group of five, including commercial strategy, business analysis, and data science. They work closely with commercial teams, translating business decisions into quantitative problems and delivering insights in a clear, actionable way. The role As the senior data scientist in Partnerships Strategy, you will be responsible for planning, carrying out, and explaining various experiments as well as developing models to predict partner and customer behaviour. Projects we are currently working on include: Introducer business model test: How do introducers' operations, customer bases, and preferences differ from one another? Is there any benefit in offering different types of services or treatments to different introducers? If so, how can we determine these? Pricing strategy testing: How can we use pricing to encourage partners to send us more applications or sell more loans overall? Relationship management testing: How much time is needed to build and maintain strong relationships with brokers and partners of a given size, and how many staff members do we need for this? Operations task management testing: What tasks, such as reminding brokers to submit documents or draw down funds, should account managers be doing? How should they be doing them, e.g. through emailing or through phone calls? How many staff members do we need for this? The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, Statistics, 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. Expert understanding of Bayesian statistics, and ideally should be comfortable with hierarchical Bayesian models. Bonus: Experience building machine learning models from scratch (e.g. creating custom optimisers). Advanced knowledge of stochastic processes and related mathematical techniques. 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 - £120,000 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 great place to work: Offices in London, Leeds, Frankfurt, and Berlin with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits 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 external counselling and therapy sessions for team members that need emotional or mental health support. 3% pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work 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.
Job Description - Assistant Vice President- Digital Sales - Agentic AP Solution (COR030393) Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Assistant Vice President- Digital Sales - Agentic AP Solution. The Digital Sales individual will be a member of a dynamic team driving growth of digital solutions in a prioritized portfolio of existing and new accounts. Creating, shaping, and responding to the ever-increasing new challenges being faced within one of the specific industry verticals such as Consumer goods, Retail, Hi Tech and Manufacturing, Banking & financial services, in support of Genpact's Sales and Transformation Services community. The digital sales team has recently enjoyed good growth and made notable wins with new logos, as well as increasing the digital footprint with existing customers. This role will identify, shape and close revenue generating opportunities in new and existing accounts on a foundation of carefully selected & curated, repeatable offerings and solutions for driving change in specific vertical industries. The role will combine leading edge digital solutions with your deep domain expertise to create innovation and thought leadership opportunities! Responsibilities Display strong domain knowledge in Finance and Accounting processes with demonstrated ability to drive business solutions in Accounts Payable, Record to Report etc. Identify and target potential clients through various channels such as networking and social media. Drive Software sales in Retail environment with clients where Genpact doesn't perform managed services. Demonstrate an understanding of a client's business and use of Digital technologies to craft transformational value propositions for the clients. Proactively create, identify, and develop opportunities for our proprietary Agentic SaaS solution in the Finance & Accounting domain. Demonstrate understanding of Artificial Intelligence (AI) technologies like Generative AI, Machine Learning, Large Language Models etc. Provide domain and digital solution expertise and support to internal teams including participation in RFI, RFP, proactive bids, customer-facing envisioning sessions/demonstrations, assessments, and workshops. Own delivery estimations, solutioning and pricing for proposed client solutions and work closely with Genpact and client legal in the creation and review of customer commercial agreements, License / SaaS, SOW, Change requests etc. This role reports to the Global Agentic Growth Leader & Growth Leader for Digital. The Senior Digital Advisor / Seller will work in close partnership with Genpact Sales, Solutions, SMEs, Partner (Microsoft) Account teams and other consulting leaders within Genpact in successfully establishing and growing client relationships, innovating with clients and winning deals. Qualifications we seek in you! Minimum Qualifications / Skills Product Knowledge: Deep understanding of finance and accounting solutions, including features, benefits, and how it meets the needs of different businesses. Industry Expertise: Familiarity with the different industries including CPG, Hi Tech & Manufacturing. Sales Skills: Strong abilities in prospecting, qualifying leads, presenting solutions, negotiating, and closing deals. Proven Experience and success in driving SaaS product sales. Communication Skills: Excellent verbal and written communication to effectively convey complex information and build relationships with clients. Customer-Centric Approach: Focus on understanding and addressing the specific needs and pain points of customers. Problem-Solving Skills: Aptitude for identifying customer problems and proposing tailored solutions. Adaptability: Flexibility to adapt to different customer needs and market changes. Persistence and Resilience: Determination to pursue leads and handle rejection positively. Team Collaboration: Ability to work well with marketing, product development, and customer support teams to ensure customer satisfaction. Preferred Qualifications/ Skills Deep expertise in one or more specific industry verticals such as Manufacturing, High Tech Software, Hardware, Hospitality, Services, Logistics, Media, Telco, and/or Entertainment. Good cultural fit - role model in (CI)2 i.e., curious, incisive, and courageous, on a bedrock of integrity. Good "roll up the sleeves" collaboration attitude to work across Genpact, client teams and Genpact's SaaS partners to bring the greatest possible impact through new ways of working. Technical understanding of SaaS architecture, integrations, and domain expertise. Ability to engage, and work with C level executives on the client side. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at and on X, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way.
Feb 15, 2025
Full time
Job Description - Assistant Vice President- Digital Sales - Agentic AP Solution (COR030393) Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Assistant Vice President- Digital Sales - Agentic AP Solution. The Digital Sales individual will be a member of a dynamic team driving growth of digital solutions in a prioritized portfolio of existing and new accounts. Creating, shaping, and responding to the ever-increasing new challenges being faced within one of the specific industry verticals such as Consumer goods, Retail, Hi Tech and Manufacturing, Banking & financial services, in support of Genpact's Sales and Transformation Services community. The digital sales team has recently enjoyed good growth and made notable wins with new logos, as well as increasing the digital footprint with existing customers. This role will identify, shape and close revenue generating opportunities in new and existing accounts on a foundation of carefully selected & curated, repeatable offerings and solutions for driving change in specific vertical industries. The role will combine leading edge digital solutions with your deep domain expertise to create innovation and thought leadership opportunities! Responsibilities Display strong domain knowledge in Finance and Accounting processes with demonstrated ability to drive business solutions in Accounts Payable, Record to Report etc. Identify and target potential clients through various channels such as networking and social media. Drive Software sales in Retail environment with clients where Genpact doesn't perform managed services. Demonstrate an understanding of a client's business and use of Digital technologies to craft transformational value propositions for the clients. Proactively create, identify, and develop opportunities for our proprietary Agentic SaaS solution in the Finance & Accounting domain. Demonstrate understanding of Artificial Intelligence (AI) technologies like Generative AI, Machine Learning, Large Language Models etc. Provide domain and digital solution expertise and support to internal teams including participation in RFI, RFP, proactive bids, customer-facing envisioning sessions/demonstrations, assessments, and workshops. Own delivery estimations, solutioning and pricing for proposed client solutions and work closely with Genpact and client legal in the creation and review of customer commercial agreements, License / SaaS, SOW, Change requests etc. This role reports to the Global Agentic Growth Leader & Growth Leader for Digital. The Senior Digital Advisor / Seller will work in close partnership with Genpact Sales, Solutions, SMEs, Partner (Microsoft) Account teams and other consulting leaders within Genpact in successfully establishing and growing client relationships, innovating with clients and winning deals. Qualifications we seek in you! Minimum Qualifications / Skills Product Knowledge: Deep understanding of finance and accounting solutions, including features, benefits, and how it meets the needs of different businesses. Industry Expertise: Familiarity with the different industries including CPG, Hi Tech & Manufacturing. Sales Skills: Strong abilities in prospecting, qualifying leads, presenting solutions, negotiating, and closing deals. Proven Experience and success in driving SaaS product sales. Communication Skills: Excellent verbal and written communication to effectively convey complex information and build relationships with clients. Customer-Centric Approach: Focus on understanding and addressing the specific needs and pain points of customers. Problem-Solving Skills: Aptitude for identifying customer problems and proposing tailored solutions. Adaptability: Flexibility to adapt to different customer needs and market changes. Persistence and Resilience: Determination to pursue leads and handle rejection positively. Team Collaboration: Ability to work well with marketing, product development, and customer support teams to ensure customer satisfaction. Preferred Qualifications/ Skills Deep expertise in one or more specific industry verticals such as Manufacturing, High Tech Software, Hardware, Hospitality, Services, Logistics, Media, Telco, and/or Entertainment. Good cultural fit - role model in (CI)2 i.e., curious, incisive, and courageous, on a bedrock of integrity. Good "roll up the sleeves" collaboration attitude to work across Genpact, client teams and Genpact's SaaS partners to bring the greatest possible impact through new ways of working. Technical understanding of SaaS architecture, integrations, and domain expertise. Ability to engage, and work with C level executives on the client side. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at and on X, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way.
Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center Job ID: Amazon Web Services Japan GK 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 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. The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We're looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. A day in the life Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. BASIC QUALIFICATIONS 5+ years of building machine learning models or developing algorithms for business application experience. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences). PREFERRED QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models. Hands-on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNet. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Feb 15, 2025
Full time
Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center Job ID: Amazon Web Services Japan GK 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 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. The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We're looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. A day in the life Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. BASIC QUALIFICATIONS 5+ years of building machine learning models or developing algorithms for business application experience. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences). PREFERRED QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models. Hands-on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNet. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
About us: SuperAwesome is an award-winning technology company that powers the youth digital ecosystem, helping brands to meet their audience where they are. We bring together proprietary advertising and gaming products, audience insights, and compliance capabilities to help build a safer internet for the next generation. Our technology is trusted by hundreds of brands and creators and enables more effective digital engagement with almost half a billion young people worldwide every month. As we specialise in reaching under-18 audiences, we have to be as curious, fast-paced, and creative as kids and teens. At SuperAwesome, you'll be encouraged to own your impact, make your team more awesome, and evolve like a kid as you grow into your role. At our core is the , a community where every voice is valued and diversity is celebrated. We prioritise individuality and foster an inclusive workplace where everyone feels they truly belong. What you'll do? Data is at the heart of everything we do at SuperAwesome. We are seeking a passionate and seasoned Senior Data Scientist to lead our data science efforts. In this role, you will be a key player in shaping our data science strategy and driving innovation across the organization. You will have the opportunity to work on a diverse range of challenging and rewarding projects, from content classification and moderation to trend discovery and the definition of synthetic personas. Responsibilities: Spearhead cross-cutting data science initiatives, collaborating with teams across the organisation to identify and solve high-impact business problems. Shape data science practices and processes across SuperAwesome, ensuring that we are using the most effective and innovative methods. Be the hinge between Product, Strategic Insight, Data, Engineering, and Business stakeholders. Develop and deploy machine learning models to improve our products and services, from content classification and moderation to trend discovery and the definition of synthetic personas. Conduct research and development to explore new data science techniques and technologies, keeping SuperAwesome at the forefront of the field. Communicate complex technical concepts clearly to a range of audiences, ensuring that everyone understands the value of our work. Stay up-to-date with the latest advancements in data science, continuously learning and growing as a data scientist. Be a hands-on mentor for fellow data analysts and scientists. Qualifications: Solid background in Computer Science, Statistics, or a related field. Extensive experience as a data scientist, with a proven track record of successful projects. Strong understanding of machine learning algorithms and statistical modeling. Experience with big data technologies and cloud platforms. Excellent communication and interpersonal skills. Bonus Points: Experience in the adtech industry. Experience with natural language processing or computer vision. We Offer: Employee equity programme. Opportunities for professional growth and development. Flexible working arrangements - We operate a hybrid model with weekly office visits dependent on location. A collaborative and inclusive work environment. 25 Days Holiday + 8 Public Holidays and a Winter Break. Enhanced Company Maternity & Paternity pay. Private Medical Insurance, Income Protection & Life Assurance. Pension contribution. Cycle to Work & Tech Scheme.
Feb 15, 2025
Full time
About us: SuperAwesome is an award-winning technology company that powers the youth digital ecosystem, helping brands to meet their audience where they are. We bring together proprietary advertising and gaming products, audience insights, and compliance capabilities to help build a safer internet for the next generation. Our technology is trusted by hundreds of brands and creators and enables more effective digital engagement with almost half a billion young people worldwide every month. As we specialise in reaching under-18 audiences, we have to be as curious, fast-paced, and creative as kids and teens. At SuperAwesome, you'll be encouraged to own your impact, make your team more awesome, and evolve like a kid as you grow into your role. At our core is the , a community where every voice is valued and diversity is celebrated. We prioritise individuality and foster an inclusive workplace where everyone feels they truly belong. What you'll do? Data is at the heart of everything we do at SuperAwesome. We are seeking a passionate and seasoned Senior Data Scientist to lead our data science efforts. In this role, you will be a key player in shaping our data science strategy and driving innovation across the organization. You will have the opportunity to work on a diverse range of challenging and rewarding projects, from content classification and moderation to trend discovery and the definition of synthetic personas. Responsibilities: Spearhead cross-cutting data science initiatives, collaborating with teams across the organisation to identify and solve high-impact business problems. Shape data science practices and processes across SuperAwesome, ensuring that we are using the most effective and innovative methods. Be the hinge between Product, Strategic Insight, Data, Engineering, and Business stakeholders. Develop and deploy machine learning models to improve our products and services, from content classification and moderation to trend discovery and the definition of synthetic personas. Conduct research and development to explore new data science techniques and technologies, keeping SuperAwesome at the forefront of the field. Communicate complex technical concepts clearly to a range of audiences, ensuring that everyone understands the value of our work. Stay up-to-date with the latest advancements in data science, continuously learning and growing as a data scientist. Be a hands-on mentor for fellow data analysts and scientists. Qualifications: Solid background in Computer Science, Statistics, or a related field. Extensive experience as a data scientist, with a proven track record of successful projects. Strong understanding of machine learning algorithms and statistical modeling. Experience with big data technologies and cloud platforms. Excellent communication and interpersonal skills. Bonus Points: Experience in the adtech industry. Experience with natural language processing or computer vision. We Offer: Employee equity programme. Opportunities for professional growth and development. Flexible working arrangements - We operate a hybrid model with weekly office visits dependent on location. A collaborative and inclusive work environment. 25 Days Holiday + 8 Public Holidays and a Winter Break. Enhanced Company Maternity & Paternity pay. Private Medical Insurance, Income Protection & Life Assurance. Pension contribution. Cycle to Work & Tech Scheme.
Amazon Pay Data and Analytics team is looking for an experienced Senior Data Scientist with excellent ML/science technical skills. If you are a self-starter, someone who thrives in a fast-paced environment, with a passion for building scalable long-term solutions, then you are the right candidate for our team. In this role, the candidate would work closely with tech teams and product/program across US, EU and JP to build scalable ML/science models. You will be responsible for driving innovation across a wide range of science initiatives, from natural language processing and conversational AI to econometric modeling and ROI-based optimization. The position is based in Bangalore. We are looking for someone who can familiarize themselves with a dynamic environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Our team achieves results through collaboration and clear goals. Key job responsibilities Design and lead large projects and experiments from beginning to end, and drive solutions to complex or ambiguous problems Build statistical and AI/ML models to generate actionable insights for the business Create tools and solve challenges using statistical modeling, machine learning, optimization, and/or other approaches for quantifiable impact on the business Use broad expertise to recommend the right strategies, methodologies, and best practices, teaching and mentoring others Key influencer of your team's business strategy and of related teams' strategies Communication and documentation of methodologies, insights, and recommendations for senior leaders with various levels of technical knowledge BASIC QUALIFICATIONS 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 4+ years of data scientist experience Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience Experience managing data pipelines Experience as a leader and mentor on a data science team 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. 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
Amazon Pay Data and Analytics team is looking for an experienced Senior Data Scientist with excellent ML/science technical skills. If you are a self-starter, someone who thrives in a fast-paced environment, with a passion for building scalable long-term solutions, then you are the right candidate for our team. In this role, the candidate would work closely with tech teams and product/program across US, EU and JP to build scalable ML/science models. You will be responsible for driving innovation across a wide range of science initiatives, from natural language processing and conversational AI to econometric modeling and ROI-based optimization. The position is based in Bangalore. We are looking for someone who can familiarize themselves with a dynamic environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Our team achieves results through collaboration and clear goals. Key job responsibilities Design and lead large projects and experiments from beginning to end, and drive solutions to complex or ambiguous problems Build statistical and AI/ML models to generate actionable insights for the business Create tools and solve challenges using statistical modeling, machine learning, optimization, and/or other approaches for quantifiable impact on the business Use broad expertise to recommend the right strategies, methodologies, and best practices, teaching and mentoring others Key influencer of your team's business strategy and of related teams' strategies Communication and documentation of methodologies, insights, and recommendations for senior leaders with various levels of technical knowledge BASIC QUALIFICATIONS 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 4+ years of data scientist experience Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience Experience managing data pipelines Experience as a leader and mentor on a data science team 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. 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.
Explore our latest thought leadership, ideas, and insights on the issues that are shaping the future of business and society. Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future. Discover our portfolio - constantly evolving to keep pace with the ever-changing needs of our clients. Become part of a diverse collective of free-thinkers, entrepreneurs and experts - and help us to make a difference. We are a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role As a Process Mining Senior Consultant, you will deliver end-to-end solutions that uncover inefficiencies and drive impactful business improvements. Working closely with diverse teams, you will turn complex data into actionable insights and help clients achieve operational excellence. In this role, you will: Lead process mining projects from data extraction to insight delivery. Develop dashboards and analyses using tools like Celonis, ARIS, or Signavio. Collaborate with stakeholders to identify inefficiencies and recommend solutions. Facilitate workshops and clearly communicate findings. Integrate insights with enterprise systems to drive sustainable improvements. Your Profile Required Previous experience in process intelligence and/or improvement roles. Demonstrated ability to deliver end-to-end process mining projects, encompassing data extraction, transformation, analysis, and actionable insights. Expertise in process mining tools such as Celonis, ARIS, or Signavio, including developing dashboards and configuring advanced analyses. Experience leading project phases independently, managing client communications, and ensuring alignment with client expectations. Proficient in addressing business challenges using data-driven insights and recommending targeted process improvements. Strong knowledge of business process improvement methodologies such as Lean Six Sigma, with practical application experience. Excellent presentation skills to effectively communicate findings and recommendations to technical and non-technical stakeholders. Skilled in conducting workshops to gather client requirements and explain complex analytical findings in accessible terms. Familiarity with integration points between process mining platforms and enterprise systems (e.g., SAP, Oracle) for comprehensive process analysis. Proven ability to manage challenges during project delivery while maintaining client confidence and trust. Even Better If Experience mentoring or training junior consultants in process mining tools and methodologies. In-depth understanding of enterprise systems (e.g., SAP, Oracle) and their data models to effectively map process landscapes. Competence in conducting root cause analysis and proposing specific interventions for operational inefficiencies. Familiarity with advanced analytics techniques (e.g., predictive modelling, machine learning) to drive innovative process improvements. Proven ability to work on multi-disciplinary projects, collaborating with IT, operations, and business leaders. A track record of delivering measurable process optimisations that yield significant business value. Experience with automation technologies, such as Robotic Process Automation (RPA) or workflow management platforms. Proficiency in developing tailored KPIs to measure process performance and improvement outcomes. What You'll Love About Working Here In the Intelligent Process and Performance team, you'll have the opportunity to work on cutting-edge process mining projects that drive real, tangible impact for clients across diverse industries. You'll join a team of forward-thinking professionals who thrive on collaboration, innovation, and delivering data-driven solutions that transform business operations. With a culture that values continuous learning, mentorship, and thought leadership, you'll be empowered to grow your expertise while contributing to meaningful, high-profile projects that make a difference. Diversity and Inclusion At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Feb 15, 2025
Full time
Explore our latest thought leadership, ideas, and insights on the issues that are shaping the future of business and society. Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future. Discover our portfolio - constantly evolving to keep pace with the ever-changing needs of our clients. Become part of a diverse collective of free-thinkers, entrepreneurs and experts - and help us to make a difference. We are a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role As a Process Mining Senior Consultant, you will deliver end-to-end solutions that uncover inefficiencies and drive impactful business improvements. Working closely with diverse teams, you will turn complex data into actionable insights and help clients achieve operational excellence. In this role, you will: Lead process mining projects from data extraction to insight delivery. Develop dashboards and analyses using tools like Celonis, ARIS, or Signavio. Collaborate with stakeholders to identify inefficiencies and recommend solutions. Facilitate workshops and clearly communicate findings. Integrate insights with enterprise systems to drive sustainable improvements. Your Profile Required Previous experience in process intelligence and/or improvement roles. Demonstrated ability to deliver end-to-end process mining projects, encompassing data extraction, transformation, analysis, and actionable insights. Expertise in process mining tools such as Celonis, ARIS, or Signavio, including developing dashboards and configuring advanced analyses. Experience leading project phases independently, managing client communications, and ensuring alignment with client expectations. Proficient in addressing business challenges using data-driven insights and recommending targeted process improvements. Strong knowledge of business process improvement methodologies such as Lean Six Sigma, with practical application experience. Excellent presentation skills to effectively communicate findings and recommendations to technical and non-technical stakeholders. Skilled in conducting workshops to gather client requirements and explain complex analytical findings in accessible terms. Familiarity with integration points between process mining platforms and enterprise systems (e.g., SAP, Oracle) for comprehensive process analysis. Proven ability to manage challenges during project delivery while maintaining client confidence and trust. Even Better If Experience mentoring or training junior consultants in process mining tools and methodologies. In-depth understanding of enterprise systems (e.g., SAP, Oracle) and their data models to effectively map process landscapes. Competence in conducting root cause analysis and proposing specific interventions for operational inefficiencies. Familiarity with advanced analytics techniques (e.g., predictive modelling, machine learning) to drive innovative process improvements. Proven ability to work on multi-disciplinary projects, collaborating with IT, operations, and business leaders. A track record of delivering measurable process optimisations that yield significant business value. Experience with automation technologies, such as Robotic Process Automation (RPA) or workflow management platforms. Proficiency in developing tailored KPIs to measure process performance and improvement outcomes. What You'll Love About Working Here In the Intelligent Process and Performance team, you'll have the opportunity to work on cutting-edge process mining projects that drive real, tangible impact for clients across diverse industries. You'll join a team of forward-thinking professionals who thrive on collaboration, innovation, and delivering data-driven solutions that transform business operations. With a culture that values continuous learning, mentorship, and thought leadership, you'll be empowered to grow your expertise while contributing to meaningful, high-profile projects that make a difference. Diversity and Inclusion At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you are considering Are you a tech-savvy problem solver with a passion for bridging the gap between Operational Technology (OT) and Information Technology (IT)? If so, then this exciting opportunity for an OT/IT Solution Architect might be perfect for you! In this dynamic role, you will play a pivotal role in designing, developing, and implementing cutting-edge solutions that integrate OT and IT systems, driving innovation and efficiency across our organization. You will leverage your deep understanding of both domains to build secure, scalable, and reliable architectures that meet the specific needs of our business. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role Some of your day to day activities and responsibilities will include the following: Design and architect integrated OT solutions, utilizing technologies like Digital Twins, IoT applications, and Industrial Protocols (OPC UA, MQTT) Select and configure appropriate Azure or AWS services based on project requirements Develop and implement Python scripts and Virtual Machines to automate tasks and optimize processes Collaborate with stakeholders across various departments (Engineering, Operations, OT, IT) to understand business needs and ensure technical solutions align with strategic goals Stay current with the latest advancements in OT/IT convergence and emerging technologies Document technical solutions and procedures clearly and concisely Present technical findings and recommendations to technical and non-technical audiences. Your Skills and experience Strong experience of performing a solution architecture role within an engineering, OT, manufacturing or telecommunications environment Strong knowledge and application of Industry 4.0 technologies such as IoT, analytics, AR/VR, asset tracking solutions, cyber security, digital twins, digital control towers etc. Technically leading complex projects throughout their complete lifecycle from requirements capture to handover and knowledge transfer Experience of working within a large-scale organisation, able to work as part of a team, excellent organisations and time keeping skills, strong written and verbal skills Experience in business transformation projects Bachelor's degree in Computer Science, Engineering, or related field Minimum 5+ years of experience in OT and IT environments Strong understanding of Industrial Automation and control systems Expertise in OT network protocols (Modbus, Profinet, Profibus, OPC UA, MQTT) Experience with cloud platforms like Azure and AWS Ability to work independently and as part of a team Don't meet every single requirement? Studies have shown women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace so if you're excited about this role but your past experience doesn't align perfectly with every requirement in the job description, we encourage you to apply anyway. Your Security Clearance To be successfully appointed to this role you will need to undergo Baseline Personnel Security Standard checks. There are no nationality or residency restrictions, although if you have resided outside of the UK within the last 3 years, further checks may be required. There are other criteria and checks required for BPSS, and throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. What does "Get the Future You want" mean for you? You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will reimagine what's possible: creating value for the world's leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses. And it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge and always pushing yourself to do better, you'll build the skills you want. And you'll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Feb 15, 2025
Full time
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you are considering Are you a tech-savvy problem solver with a passion for bridging the gap between Operational Technology (OT) and Information Technology (IT)? If so, then this exciting opportunity for an OT/IT Solution Architect might be perfect for you! In this dynamic role, you will play a pivotal role in designing, developing, and implementing cutting-edge solutions that integrate OT and IT systems, driving innovation and efficiency across our organization. You will leverage your deep understanding of both domains to build secure, scalable, and reliable architectures that meet the specific needs of our business. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role Some of your day to day activities and responsibilities will include the following: Design and architect integrated OT solutions, utilizing technologies like Digital Twins, IoT applications, and Industrial Protocols (OPC UA, MQTT) Select and configure appropriate Azure or AWS services based on project requirements Develop and implement Python scripts and Virtual Machines to automate tasks and optimize processes Collaborate with stakeholders across various departments (Engineering, Operations, OT, IT) to understand business needs and ensure technical solutions align with strategic goals Stay current with the latest advancements in OT/IT convergence and emerging technologies Document technical solutions and procedures clearly and concisely Present technical findings and recommendations to technical and non-technical audiences. Your Skills and experience Strong experience of performing a solution architecture role within an engineering, OT, manufacturing or telecommunications environment Strong knowledge and application of Industry 4.0 technologies such as IoT, analytics, AR/VR, asset tracking solutions, cyber security, digital twins, digital control towers etc. Technically leading complex projects throughout their complete lifecycle from requirements capture to handover and knowledge transfer Experience of working within a large-scale organisation, able to work as part of a team, excellent organisations and time keeping skills, strong written and verbal skills Experience in business transformation projects Bachelor's degree in Computer Science, Engineering, or related field Minimum 5+ years of experience in OT and IT environments Strong understanding of Industrial Automation and control systems Expertise in OT network protocols (Modbus, Profinet, Profibus, OPC UA, MQTT) Experience with cloud platforms like Azure and AWS Ability to work independently and as part of a team Don't meet every single requirement? Studies have shown women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace so if you're excited about this role but your past experience doesn't align perfectly with every requirement in the job description, we encourage you to apply anyway. Your Security Clearance To be successfully appointed to this role you will need to undergo Baseline Personnel Security Standard checks. There are no nationality or residency restrictions, although if you have resided outside of the UK within the last 3 years, further checks may be required. There are other criteria and checks required for BPSS, and throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. What does "Get the Future You want" mean for you? You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will reimagine what's possible: creating value for the world's leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses. And it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge and always pushing yourself to do better, you'll build the skills you want. And you'll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Job Details: Enterprise Data Governance & Architecture Lead Job Title: Enterprise Data Governance & Architecture Lead Reports to: Head of Technology Data, Architecture & Technology Strategy Department: Technology Location: Leeds/Manchester/Bristol/Glasgow DEPARTMENT DESCRIPTION The Data Platform team is a key component of C4's Technology organization that provides an enriched and valuable ecosystem of data platform and data services that drive innovation for our partners and clients, within C4. Data is the most valuable asset in C4. The Data Platform Department is dedicated to developing advanced technology (e.g. Cloud, Machine Learning and Big Data), systems and services to make data secure, high quality, rich, fast, and easy to use, enabling C4 to leverage its data asset effectively and timely to maximize technology/business development and differentiate C4 from others in the Broadcast and Media industry. JOB PURPOSE Your role as Data Governance & Architecture Lead in the DATS Team is to act as one of the key technology contributors to build, govern, and manage C4's data and technology assets in the Data Platform. You will be a crucial part of defining and delivering the Data Strategy for C4. This individual will act as a trusted technical advisor and strategic thought leader to the Data & Analytics department. The successful candidate will be comfortable navigating challenging forces in the dynamic Broadcast space, especially in big data and data platform areas, and be comfortable in a fast-paced environment with significant changes; developing/implementing strategies and processes that enable the organization to innovate and grow fast. You will have the opportunity to lead, participate, guide, and mentor other people in the team on architecture and design in a hands-on manner. You are responsible for the strategic and technical direction of C4 Data Platform Strategy & Governance. You will develop/manage a company-wide Data Governance strategy to manage the information life cycle effectively. Assist with setting up of Data Governance Council, winning buy-in from Senior Management. Develop/Drive governance strategy working directly with senior management and teams to ensure alignment with the overall objectives. Write standards and policies for Data Governance. KEY RESPONSIBILITIES Provide Architectural leadership and vision for C4's Data Platform and Data Lake. Develop and maintain architectural roadmap for data products and data services, ensuring alignment with business and enterprise architecture strategies and standards. Provide leadership and guidance on design and management of data for data applications, formulate best practices and organize processes for data management, governance, and evolution. Contribute to the DP strategies and roadmap development to meet business objectives with existing or emerging technologies. ESSENTIAL EXPERIENCE & SKILLS Experience in senior Data governance & Architecture positions, ideally based in a high-paced and empowered environment. Hands-on experience in implementing an enterprise data governance program and Master Data Management (MDM) solution. Strong project leadership and management skills to lead organizational change to effectively meet strategic and tactical goals. Excellent verbal and written communication skills to present to a target audience. Detail-oriented/articulate with strong time management and organizational skills. Proven management/supervisory experience. Experienced in Agile Project/Portfolio Management tools e.g. Azure DevOps, Jira, etc. Experienced using facilitation techniques, Design Thinking techniques, coaching, and learning frameworks. Experienced in engineering practices like Continuous Integration and Continuous Delivery. Experienced in multi-vendor delivery teams. Hybrid Working From September 2023 employees will be working a minimum of 3 days per week in their office location. The other 2 days should be working from home. This is to create more time for collaboration, creativity, learning, and feedback. We also have a working from another location policy for up to 10 days. This pattern is subject to future changes which would be communicated in advance to provide employees with adequate notice of any change. Salary: Basic Salary Starting at £104,781.00 dependent on experience. Application questions: Please remember to complete the additional application questions by uploading a Word or PDF attachment. These questions really help us get to know you better, and we won't be able to consider your application without them. Applications Close Date: 20 Feb 2025 Equal Opportunities: Channel 4's purpose is to create change through entertainment; by representing unheard voices, challenging with purpose and delivering content that reflects the diversity of different communities across the UK. We encourage applications from candidates from all backgrounds and do not discriminate based on disability, age, gender reassignment, gender expression, criminal history, length of time spent unemployed, marriage or civil partnership status, national origin, pregnancy and maternity status, race, religion or belief, sex, and sexual orientation.
Feb 15, 2025
Full time
Job Details: Enterprise Data Governance & Architecture Lead Job Title: Enterprise Data Governance & Architecture Lead Reports to: Head of Technology Data, Architecture & Technology Strategy Department: Technology Location: Leeds/Manchester/Bristol/Glasgow DEPARTMENT DESCRIPTION The Data Platform team is a key component of C4's Technology organization that provides an enriched and valuable ecosystem of data platform and data services that drive innovation for our partners and clients, within C4. Data is the most valuable asset in C4. The Data Platform Department is dedicated to developing advanced technology (e.g. Cloud, Machine Learning and Big Data), systems and services to make data secure, high quality, rich, fast, and easy to use, enabling C4 to leverage its data asset effectively and timely to maximize technology/business development and differentiate C4 from others in the Broadcast and Media industry. JOB PURPOSE Your role as Data Governance & Architecture Lead in the DATS Team is to act as one of the key technology contributors to build, govern, and manage C4's data and technology assets in the Data Platform. You will be a crucial part of defining and delivering the Data Strategy for C4. This individual will act as a trusted technical advisor and strategic thought leader to the Data & Analytics department. The successful candidate will be comfortable navigating challenging forces in the dynamic Broadcast space, especially in big data and data platform areas, and be comfortable in a fast-paced environment with significant changes; developing/implementing strategies and processes that enable the organization to innovate and grow fast. You will have the opportunity to lead, participate, guide, and mentor other people in the team on architecture and design in a hands-on manner. You are responsible for the strategic and technical direction of C4 Data Platform Strategy & Governance. You will develop/manage a company-wide Data Governance strategy to manage the information life cycle effectively. Assist with setting up of Data Governance Council, winning buy-in from Senior Management. Develop/Drive governance strategy working directly with senior management and teams to ensure alignment with the overall objectives. Write standards and policies for Data Governance. KEY RESPONSIBILITIES Provide Architectural leadership and vision for C4's Data Platform and Data Lake. Develop and maintain architectural roadmap for data products and data services, ensuring alignment with business and enterprise architecture strategies and standards. Provide leadership and guidance on design and management of data for data applications, formulate best practices and organize processes for data management, governance, and evolution. Contribute to the DP strategies and roadmap development to meet business objectives with existing or emerging technologies. ESSENTIAL EXPERIENCE & SKILLS Experience in senior Data governance & Architecture positions, ideally based in a high-paced and empowered environment. Hands-on experience in implementing an enterprise data governance program and Master Data Management (MDM) solution. Strong project leadership and management skills to lead organizational change to effectively meet strategic and tactical goals. Excellent verbal and written communication skills to present to a target audience. Detail-oriented/articulate with strong time management and organizational skills. Proven management/supervisory experience. Experienced in Agile Project/Portfolio Management tools e.g. Azure DevOps, Jira, etc. Experienced using facilitation techniques, Design Thinking techniques, coaching, and learning frameworks. Experienced in engineering practices like Continuous Integration and Continuous Delivery. Experienced in multi-vendor delivery teams. Hybrid Working From September 2023 employees will be working a minimum of 3 days per week in their office location. The other 2 days should be working from home. This is to create more time for collaboration, creativity, learning, and feedback. We also have a working from another location policy for up to 10 days. This pattern is subject to future changes which would be communicated in advance to provide employees with adequate notice of any change. Salary: Basic Salary Starting at £104,781.00 dependent on experience. Application questions: Please remember to complete the additional application questions by uploading a Word or PDF attachment. These questions really help us get to know you better, and we won't be able to consider your application without them. Applications Close Date: 20 Feb 2025 Equal Opportunities: Channel 4's purpose is to create change through entertainment; by representing unheard voices, challenging with purpose and delivering content that reflects the diversity of different communities across the UK. We encourage applications from candidates from all backgrounds and do not discriminate based on disability, age, gender reassignment, gender expression, criminal history, length of time spent unemployed, marriage or civil partnership status, national origin, pregnancy and maternity status, race, religion or belief, sex, and sexual orientation.
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning 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
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Controllers Strats is responsible for designing and implementing solutions to manage the firm's P&L, independently verify valuations, measure and optimize the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios. YOUR Impact: We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us. Controllers Strats is a multidisciplinary group of quantitative experts within the Controllers Division, focusing on independent price verification, regulatory capital measurement, revenue analysis and modelling. The group is primarily responsible for building advanced quantitative models and analytical tools for valuation risk and regulatory capital pertaining to the three areas mentioned. In this role, you will leverage your technical skills and functional expertise in P&L, balance sheet or regulatory capital (Basel 3) to build new calculations for the firm's books and records and for new regulatory capital rules released as part of Basel 3 Endgame. The position would provide a unique opportunity to drive one of the most impactful initiatives at the firm and to directly engage with colleagues and senior management across revenue areas, Risk, and Engineering. Why join the team? Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS Develop quantitative models in 3 areas Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments Revenue analysis and modelling that governs new activity review, valuation adjustments and sign-off of daily P&L for all market making desks Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape Provide ongoing testing and support for existing models Documentation and quality control of models Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication skills including experience speaking to technical and business audiences and working globally Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Experience building pricing and risk models or familiarity with capital, stress testing and resolution planning 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
Data Scientist Team Lead Preston(Hybrid working) 60,000- 65,000 + Benefits My client are looking for an experienced Data Scientist Team Lead to join their team working on a hybrid basis. What you'll be doing: Providing technical guidance and upskilling members of the team Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions Building scalable machine learning pipelines and combining feature engineering with optimisation methods to improve the data product performance Exploring ways of using new data science tools and techniques to address business and organisational challenges Sharing data science practices across all departments, promoting professional development and use of best practice across all capabilities identified for data scientists Applying data science techniques to present, communicate and disseminate data science products effectively, appropriately and with high impact Working with technologists to design, create, test and document data products with agreed software development standards, including security, accessibility and version control Contributing to decision-making throughout the product life cycle by using data sources, analytical techniques and tools Your skills and experiences: Ideally some experience of leading/managing a team and the ability to foster a collaborative team culture Experience using data tools such as Python, MATLAB, Kubernetes and TensorFlow Hold a mathematical background with a strong understanding of statistical data Inquiring mindset with the ability to translate data sets to customers To apply for this role please send your cv to Peter Bibby on the email address below
Feb 15, 2025
Full time
Data Scientist Team Lead Preston(Hybrid working) 60,000- 65,000 + Benefits My client are looking for an experienced Data Scientist Team Lead to join their team working on a hybrid basis. What you'll be doing: Providing technical guidance and upskilling members of the team Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions Building scalable machine learning pipelines and combining feature engineering with optimisation methods to improve the data product performance Exploring ways of using new data science tools and techniques to address business and organisational challenges Sharing data science practices across all departments, promoting professional development and use of best practice across all capabilities identified for data scientists Applying data science techniques to present, communicate and disseminate data science products effectively, appropriately and with high impact Working with technologists to design, create, test and document data products with agreed software development standards, including security, accessibility and version control Contributing to decision-making throughout the product life cycle by using data sources, analytical techniques and tools Your skills and experiences: Ideally some experience of leading/managing a team and the ability to foster a collaborative team culture Experience using data tools such as Python, MATLAB, Kubernetes and TensorFlow Hold a mathematical background with a strong understanding of statistical data Inquiring mindset with the ability to translate data sets to customers To apply for this role please send your cv to Peter Bibby on the email address below