At ECM, we're scientists and engineers offering a personal service to help our peers find jobs - register with us, and let us do the hard work for you. Fast career progression in this client-facing software engineering role. This company's highly customizable software toolkit allows corporate clients to build business applications for accessing critical business data in a seamless and intuitive way. In this role, you would help develop new features for the core product, and also work with clients' own engineering teams to help them create tailored applications. You would be involved at all stages of the development lifecycle from requirements capture through to development, testing, and customer support. You would work on features throughout their technology stack, giving you the opportunity to build skills and experience with the latest web technologies. New starters will enjoy a very competitive remuneration package, which based on performance, can dramatically increase even within a couple of months! In this role, you will be working with a high degree of autonomy, so you will need determination as well as a structured approach to breaking down and solving difficult problems. Minimum Requirements: Excellent academic qualifications: a 1st or 2.1 in Computer Science or other relevant STEM subject from a leading university, as well as strong grades at A-level (or equivalent). Full existing right to work in the UK without restriction, time limit, or sponsorship. Commercial software engineering experience is welcome but not essential, and is not a substitute for academic grades. This is an excellent opportunity to progress in a software engineering career and gain valuable technical and client-facing skills. This company places an emphasis on career development, providing initial training, and taking on further responsibility. A competitive salary and excellent benefits package are on offer for the successful candidate.
Feb 16, 2025
Full time
At ECM, we're scientists and engineers offering a personal service to help our peers find jobs - register with us, and let us do the hard work for you. Fast career progression in this client-facing software engineering role. This company's highly customizable software toolkit allows corporate clients to build business applications for accessing critical business data in a seamless and intuitive way. In this role, you would help develop new features for the core product, and also work with clients' own engineering teams to help them create tailored applications. You would be involved at all stages of the development lifecycle from requirements capture through to development, testing, and customer support. You would work on features throughout their technology stack, giving you the opportunity to build skills and experience with the latest web technologies. New starters will enjoy a very competitive remuneration package, which based on performance, can dramatically increase even within a couple of months! In this role, you will be working with a high degree of autonomy, so you will need determination as well as a structured approach to breaking down and solving difficult problems. Minimum Requirements: Excellent academic qualifications: a 1st or 2.1 in Computer Science or other relevant STEM subject from a leading university, as well as strong grades at A-level (or equivalent). Full existing right to work in the UK without restriction, time limit, or sponsorship. Commercial software engineering experience is welcome but not essential, and is not a substitute for academic grades. This is an excellent opportunity to progress in a software engineering career and gain valuable technical and client-facing skills. This company places an emphasis on career development, providing initial training, and taking on further responsibility. A competitive salary and excellent benefits package are on offer for the successful candidate.
Are you passionate about working with Amazon-scale data, analytics, and data science? Do you love bringing data together from diverse systems and sources and working on critical analytics problems for understanding customer behavior and generating actionable insights? Does the idea of partnering with a team of highly experienced machine-learning scientists and engineers excite you? The Science and Analytics team is looking for an experienced, self-driven business-intelligence engineer to help us synthesize data into knowledge across a large number of businesses to help independent authors bring their creativity to customers, detect fraudulent and abusive behavior, and democratize content creation in a safe, efficient, and exciting way. Our team has mature areas and green-field opportunities. We offer technical autonomy, value end-to-end ownership, and have a strong customer-focused culture. Come join us as we revolutionize the book industry and deliver an amazing experience to our authors and readers. Key job responsibilities As a Business Intelligence Engineer at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic support to scientists, product managers, and engineers using this data. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights. You will have ownership of the insights you are building for the business and will play an integral role in tactical decision-making for critical risk areas. About the team Minerva is a cross-functional team of highly experienced scientists, data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk. We also use science to optimize manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business. Minimum Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Feb 15, 2025
Full time
Are you passionate about working with Amazon-scale data, analytics, and data science? Do you love bringing data together from diverse systems and sources and working on critical analytics problems for understanding customer behavior and generating actionable insights? Does the idea of partnering with a team of highly experienced machine-learning scientists and engineers excite you? The Science and Analytics team is looking for an experienced, self-driven business-intelligence engineer to help us synthesize data into knowledge across a large number of businesses to help independent authors bring their creativity to customers, detect fraudulent and abusive behavior, and democratize content creation in a safe, efficient, and exciting way. Our team has mature areas and green-field opportunities. We offer technical autonomy, value end-to-end ownership, and have a strong customer-focused culture. Come join us as we revolutionize the book industry and deliver an amazing experience to our authors and readers. Key job responsibilities As a Business Intelligence Engineer at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic support to scientists, product managers, and engineers using this data. You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights. You will have ownership of the insights you are building for the business and will play an integral role in tactical decision-making for critical risk areas. About the team Minerva is a cross-functional team of highly experienced scientists, data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk. We also use science to optimize manufacturing, fulfillment, and quality processes for our Print On Demand (POD) business. Minimum Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Feb 15, 2025
Full time
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
The Data Scientist plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities Generative AI Model Development: - Design and develop generative AI models, including language models, image generation models, and multimodal models. - Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms, and self-supervised learning. - Conduct research and stay up-to-date with the latest advancements in the field of generative AI. Data Acquisition and Preprocessing: - Identify and acquire relevant data sources for training generative AI models. - Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards. - Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance. Model Training and Optimization: - Design and implement efficient training pipelines for large-scale generative AI models. - Leverage distributed computing resources, such as GPUs and cloud platforms, for efficient model training. - Optimize model architectures, hyperparameters, and training strategies to achieve superior performance and generalization. Model Evaluation and Deployment: - Develop comprehensive evaluation metrics and frameworks to assess the performance, safety, and bias of generative AI models. - Collaborate with cross-functional teams to ensure the successful deployment and integration of generative AI models into client solutions. Collaboration and Knowledge Sharing: - Collaborate with data engineers, software engineers, and subject matter experts to develop innovative solutions leveraging generative AI. - Contribute to the firm's thought leadership by presenting at conferences and participating in industry events. About the team About AWS BASIC QUALIFICATIONS - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques. - Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques and their applications in generative AI. - Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices. - Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask). - Strong problem-solving, analytical, and critical thinking skills. - Strong communication, collaboration, and leadership skills. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Feb 15, 2025
Full time
The Data Scientist plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities Generative AI Model Development: - Design and develop generative AI models, including language models, image generation models, and multimodal models. - Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms, and self-supervised learning. - Conduct research and stay up-to-date with the latest advancements in the field of generative AI. Data Acquisition and Preprocessing: - Identify and acquire relevant data sources for training generative AI models. - Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards. - Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance. Model Training and Optimization: - Design and implement efficient training pipelines for large-scale generative AI models. - Leverage distributed computing resources, such as GPUs and cloud platforms, for efficient model training. - Optimize model architectures, hyperparameters, and training strategies to achieve superior performance and generalization. Model Evaluation and Deployment: - Develop comprehensive evaluation metrics and frameworks to assess the performance, safety, and bias of generative AI models. - Collaborate with cross-functional teams to ensure the successful deployment and integration of generative AI models into client solutions. Collaboration and Knowledge Sharing: - Collaborate with data engineers, software engineers, and subject matter experts to develop innovative solutions leveraging generative AI. - Contribute to the firm's thought leadership by presenting at conferences and participating in industry events. About the team About AWS BASIC QUALIFICATIONS - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques. - Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques and their applications in generative AI. - Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices. - Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Apache Spark, Dask). - Strong problem-solving, analytical, and critical thinking skills. - Strong communication, collaboration, and leadership skills. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
You will need to login before you can apply for a job. Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Job Summary: As a Data Scientist, you will collaborate with a multi-disciplinary team on a wide range of problems within the Product Analytics Partner & Marketplace Design team. You will bring scientific rigor and statistical methods to the challenges of business growth and partner experience. Data Scientist III, Analytics Are you passionate about data, analytics, and working with top talents to tackle complex problems? If you re motivated about making an impact by gleaning insights and recommendations that drive improvements and you have shown success in using analytics to drive the innovation and user engagement of a product, we want to speak to you! We are seeking an experienced analytics professional to join our Product Analytics & Experimentation Team, supporting the lodging supply partner experience platform initiatives in the spaces of onboarding and contracting. It will be a mid-level individual contributor role partnering with product managers within the Partner Product org. The role will be supporting key business decisions throughout the product development lifecycle that improves the partner experience to drive bottom-line growth. This involves tracking measures of success and supporting metrics, identifying areas of improvement and relevant business questions, developing and prioritizing hypotheses, conducting experiments and interpreting the results, and providing actionable recommendations. What you'll do: Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving partner experience and business results with a religious focus on impactful analytics. Work with multiple stakeholders, lead product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies. Own end to end process in evaluating experiments; proactively see opportunities and recommend new feature or variant for test and learn. Contribute to tracking measures of success and supporting metrics, build accurate and easy to consume dashboards/reports. Collaborate with the product teams in target setting, product performance review and strategy planning. Take initiative to identify current and potential problems and opportunities, and recommend the best solution given the trade-offs. Make business recommendations with effective presentations of findings through visual displays of quantitative information. Who you are: 4+ years of experience in data mining, statistical modelling and business analysis with at least a Bachelor's in an analytical field (STEM) required. Advanced degrees/qualifications in the domain field are a plus but not essential. Experience with data sciences languages such as SQL, Python and/or R. Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Excel, Tableau, Power BI. Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques. A strong analytical thinking and problem-solving skills, including the ability to break down complex scenarios into constituent parameters and to translate complex data findings into clear insights, further complemented by storytelling skills that effectively convey these insights. Demonstrated ability to lead projects and work with different functions (product, strategy, engineering, etc.), identifying needs and managing expectations (meeting deadlines, maximizing impact, and minimizing surprises). Result-oriented, using the most efficient approach. Curiosity and enthusiasm for making an impact along with strong attention to detail, combined with a high level of initiative and ability to thrive in a multi-tasking, dynamic and fast-paced environment. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expediareg; Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50. Employment opportunities and job offers at Expedia Group will always come from Expedia Group s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Feb 15, 2025
Full time
You will need to login before you can apply for a job. Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Job Summary: As a Data Scientist, you will collaborate with a multi-disciplinary team on a wide range of problems within the Product Analytics Partner & Marketplace Design team. You will bring scientific rigor and statistical methods to the challenges of business growth and partner experience. Data Scientist III, Analytics Are you passionate about data, analytics, and working with top talents to tackle complex problems? If you re motivated about making an impact by gleaning insights and recommendations that drive improvements and you have shown success in using analytics to drive the innovation and user engagement of a product, we want to speak to you! We are seeking an experienced analytics professional to join our Product Analytics & Experimentation Team, supporting the lodging supply partner experience platform initiatives in the spaces of onboarding and contracting. It will be a mid-level individual contributor role partnering with product managers within the Partner Product org. The role will be supporting key business decisions throughout the product development lifecycle that improves the partner experience to drive bottom-line growth. This involves tracking measures of success and supporting metrics, identifying areas of improvement and relevant business questions, developing and prioritizing hypotheses, conducting experiments and interpreting the results, and providing actionable recommendations. What you'll do: Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving partner experience and business results with a religious focus on impactful analytics. Work with multiple stakeholders, lead product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies. Own end to end process in evaluating experiments; proactively see opportunities and recommend new feature or variant for test and learn. Contribute to tracking measures of success and supporting metrics, build accurate and easy to consume dashboards/reports. Collaborate with the product teams in target setting, product performance review and strategy planning. Take initiative to identify current and potential problems and opportunities, and recommend the best solution given the trade-offs. Make business recommendations with effective presentations of findings through visual displays of quantitative information. Who you are: 4+ years of experience in data mining, statistical modelling and business analysis with at least a Bachelor's in an analytical field (STEM) required. Advanced degrees/qualifications in the domain field are a plus but not essential. Experience with data sciences languages such as SQL, Python and/or R. Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Excel, Tableau, Power BI. Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques. A strong analytical thinking and problem-solving skills, including the ability to break down complex scenarios into constituent parameters and to translate complex data findings into clear insights, further complemented by storytelling skills that effectively convey these insights. Demonstrated ability to lead projects and work with different functions (product, strategy, engineering, etc.), identifying needs and managing expectations (meeting deadlines, maximizing impact, and minimizing surprises). Result-oriented, using the most efficient approach. Curiosity and enthusiasm for making an impact along with strong attention to detail, combined with a high level of initiative and ability to thrive in a multi-tasking, dynamic and fast-paced environment. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expediareg; Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50. Employment opportunities and job offers at Expedia Group will always come from Expedia Group s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Senior Applied Scientist, Digital Acceleration The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key Job Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. Engage in effective technical communication (written & spoken) with coordination across teams. Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. BASIC QUALIFICATIONS Experience building machine learning models or developing algorithms for business application. PhD, or a Master's degree and experience in CS, CE, ML or related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. PREFERRED QUALIFICATIONS 5+ years of building machine learning models or developing algorithms for business application experience. Have publications at top-tier peer-reviewed conferences or journals. Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. Exceptional level of organization and strong attention to detail. Comfortable working in a fast paced, highly collaborative, dynamic work environment. 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
Senior Applied Scientist, Digital Acceleration The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key Job Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. Engage in effective technical communication (written & spoken) with coordination across teams. Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. BASIC QUALIFICATIONS Experience building machine learning models or developing algorithms for business application. PhD, or a Master's degree and experience in CS, CE, ML or related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. PREFERRED QUALIFICATIONS 5+ years of building machine learning models or developing algorithms for business application experience. Have publications at top-tier peer-reviewed conferences or journals. Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. Exceptional level of organization and strong attention to detail. Comfortable working in a fast paced, highly collaborative, dynamic work environment. 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.
Job Description - Senior Data Scientist - Pricing and Revenue Management (15686) The Team Join the Commercial organisation at easyJet, where the Trading, Pricing, and Revenue Management department is responsible for pricing over 100 million tickets and ancillary products annually. easyJet's Pricing System is entirely developed and tested in-house by practitioners and tuned to real-life pricing problems. Currently, we are on the road to develop our next generation system including reengineering the system's backend, UI and algorithms. Our team come from diverse backgrounds including engineering, economics, statistics, and mathematics. We leverage data science, data analysis and subject matter expertise to drive key pricing decisions. As part of the team, you'll develop, test, and manage cutting-edge pricing systems and algorithms, working at the exciting intersection of Business, IT, and research. You will: Design and develop advanced models for algorithmic pricing strategies. Conduct simulations, back-tests, shadow-tests, and real-life A/B tests to measure impact. Engage in pioneering revenue management research in collaboration with academia. Analyse and present insights to subject matter experts. Maintain and enhance the codebase and documentation. What You'll Need: Solid understanding of the pricing problem, and data science (pipelines, sampling, testing, statistics, machine learning, inventory management, dynamic pricing, demand forecasting, optimisation, stochastic processes, Bayesian inference). MSC/Ph.D. in statistics, data science, econometrics, quantitative economics, operations research, mathematics. At least 5 years of experience in applied statistical modelling using software like R, Python, Julia, SAS, Stata, SPSS, JMP, or Minitab. Familiarity with our tech stack: T-SQL, Python, C, Databricks, GitHub. Experience in industries such as airlines, lodging, car rentals, or e-commerce. A passion for working in a fast-paced, dynamic environment with a focus on continuous learning and improvement. What You'll Get in Return: A dynamic and creative team environment. Competitive base salary and annual bonus. BAYE, SAYE & Performance share schemes. Flexible benefits package (life insurance, pension, holidays). 'Work Away' scheme, allowing you to work abroad for 30 days a year. Discounted staff travel with access for family and friends. Annual credit for discount on easyJet holidays. If you thrive on innovation and enjoy working at the forefront of pricing and revenue management, we'd love to hear from you! Location & Hours of Work These are full-time positions and we typically get together 2-3 times a week. About easyJet At easyJet our aim is to make low-cost travel easy - connecting people to what they value using Europe's best airline network, great value fares, and friendly service. It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you're working as part of our front-line operations or in our corporate functions, you'll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our 'Orange Spirit', and we hope you'll share that too. Apply Complete your application on our careers site. We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates.
Feb 15, 2025
Full time
Job Description - Senior Data Scientist - Pricing and Revenue Management (15686) The Team Join the Commercial organisation at easyJet, where the Trading, Pricing, and Revenue Management department is responsible for pricing over 100 million tickets and ancillary products annually. easyJet's Pricing System is entirely developed and tested in-house by practitioners and tuned to real-life pricing problems. Currently, we are on the road to develop our next generation system including reengineering the system's backend, UI and algorithms. Our team come from diverse backgrounds including engineering, economics, statistics, and mathematics. We leverage data science, data analysis and subject matter expertise to drive key pricing decisions. As part of the team, you'll develop, test, and manage cutting-edge pricing systems and algorithms, working at the exciting intersection of Business, IT, and research. You will: Design and develop advanced models for algorithmic pricing strategies. Conduct simulations, back-tests, shadow-tests, and real-life A/B tests to measure impact. Engage in pioneering revenue management research in collaboration with academia. Analyse and present insights to subject matter experts. Maintain and enhance the codebase and documentation. What You'll Need: Solid understanding of the pricing problem, and data science (pipelines, sampling, testing, statistics, machine learning, inventory management, dynamic pricing, demand forecasting, optimisation, stochastic processes, Bayesian inference). MSC/Ph.D. in statistics, data science, econometrics, quantitative economics, operations research, mathematics. At least 5 years of experience in applied statistical modelling using software like R, Python, Julia, SAS, Stata, SPSS, JMP, or Minitab. Familiarity with our tech stack: T-SQL, Python, C, Databricks, GitHub. Experience in industries such as airlines, lodging, car rentals, or e-commerce. A passion for working in a fast-paced, dynamic environment with a focus on continuous learning and improvement. What You'll Get in Return: A dynamic and creative team environment. Competitive base salary and annual bonus. BAYE, SAYE & Performance share schemes. Flexible benefits package (life insurance, pension, holidays). 'Work Away' scheme, allowing you to work abroad for 30 days a year. Discounted staff travel with access for family and friends. Annual credit for discount on easyJet holidays. If you thrive on innovation and enjoy working at the forefront of pricing and revenue management, we'd love to hear from you! Location & Hours of Work These are full-time positions and we typically get together 2-3 times a week. About easyJet At easyJet our aim is to make low-cost travel easy - connecting people to what they value using Europe's best airline network, great value fares, and friendly service. It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you're working as part of our front-line operations or in our corporate functions, you'll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our 'Orange Spirit', and we hope you'll share that too. Apply Complete your application on our careers site. We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates.
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.
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.
The Data Science Manager will support the strategy team in Europe. As a member of the data science team, you will need to understand tactical and strategic objectives of the strategy team, identify ways to support the team by creating data science solutions, and deliver them. This role reports to the Strategy Data Science lead and involves collaboration with various Visa departments to understand their requirements and create data-driven solutions. Responsibilities Evangelizes the creative use of data science to solve business problems for our internal functions (e.g., Marketing, Product, Strategy, etc.). This role will mainly support the strategy team. Works with internal teams to drive data science business development opportunities across the organization. Identifies how data science and predictive techniques can be used to enhance client profitability, card, and payments portfolio management across acquisition, usage, and retention. Works with our internal teams on conducting VisaNet data analysis on key metrics to articulate solutions. Creates and delivers powerful business-centric insights from data through better visualization and storyboarding. Collaborates with internal partners to fully understand business requirements and desired business outcomes. Defines detailed analytic scope and methodology, and creates analytic plans. Executes on the analytic plans with appropriate data mining and statistical techniques. Ensures project delivery within timelines and budget requirements. Ensures all project documentation is up to date and all projects are reviewed per analytic plan. Enhances existing solutions and approaches by promoting new methodology and best practices in the data science field. What we're after Graduate/Post Graduate degree (e.g., Master's or Ph.D.) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering, or equivalent experience. Results-oriented with strong analytical, consultative, and problem-solving skills, with demonstrated intellectual and analytical rigor. Hands-on experience with modern distributed systems, including both Hadoop/SQL and Apache Spark. Hands-on experience with one or more data analytics/programming tools such as R/Python. Experience in the application of predictive modeling and machine learning techniques to business problems. Preferred Qualifications Experience working in the payments industry (bank, credit reference agencies, Fintech) or management consulting firm. Hands-on experience processing extremely large data sets. Knowledge of payment network transactional data is a plus. Team-oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data-driven results to various audience levels. Proven skills in translating analytics output to actionable recommendations and delivery. Fluency in English. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Feb 15, 2025
Full time
The Data Science Manager will support the strategy team in Europe. As a member of the data science team, you will need to understand tactical and strategic objectives of the strategy team, identify ways to support the team by creating data science solutions, and deliver them. This role reports to the Strategy Data Science lead and involves collaboration with various Visa departments to understand their requirements and create data-driven solutions. Responsibilities Evangelizes the creative use of data science to solve business problems for our internal functions (e.g., Marketing, Product, Strategy, etc.). This role will mainly support the strategy team. Works with internal teams to drive data science business development opportunities across the organization. Identifies how data science and predictive techniques can be used to enhance client profitability, card, and payments portfolio management across acquisition, usage, and retention. Works with our internal teams on conducting VisaNet data analysis on key metrics to articulate solutions. Creates and delivers powerful business-centric insights from data through better visualization and storyboarding. Collaborates with internal partners to fully understand business requirements and desired business outcomes. Defines detailed analytic scope and methodology, and creates analytic plans. Executes on the analytic plans with appropriate data mining and statistical techniques. Ensures project delivery within timelines and budget requirements. Ensures all project documentation is up to date and all projects are reviewed per analytic plan. Enhances existing solutions and approaches by promoting new methodology and best practices in the data science field. What we're after Graduate/Post Graduate degree (e.g., Master's or Ph.D.) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering, or equivalent experience. Results-oriented with strong analytical, consultative, and problem-solving skills, with demonstrated intellectual and analytical rigor. Hands-on experience with modern distributed systems, including both Hadoop/SQL and Apache Spark. Hands-on experience with one or more data analytics/programming tools such as R/Python. Experience in the application of predictive modeling and machine learning techniques to business problems. Preferred Qualifications Experience working in the payments industry (bank, credit reference agencies, Fintech) or management consulting firm. Hands-on experience processing extremely large data sets. Knowledge of payment network transactional data is a plus. Team-oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data-driven results to various audience levels. Proven skills in translating analytics output to actionable recommendations and delivery. Fluency in English. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Data Scientist An exciting opportunity has emerged for a Data Scientist/Analyst to join a rapidly growing company in the online gaming sector. This innovative and forward-thinking organisation is revolutionising skill-based games, providing players with a highly engaging experience that rewards strategic gameplay. With a strong focus on data-driven decision-making, this role offers a unique chance to work at the cutting edge of the gaming industry while contributing to key business strategies. About the Role This is an opportunity to be part of an elite team where your insights will shape the future of gaming . The company fosters a highly collaborative and non-hierarchical culture, giving every team member the autonomy to drive impactful decisions. You will work alongside experienced industry professionals in a fast-paced, dynamic environment that values creativity, innovation, and analytical excellence. Responsibilities: Perform comprehensive data analysis on vast and intricate gameplay datasets to identify meaningful trends and drive strategic initiatives. Extract valuable insights to refine game mechanics, balance in-game economies, and enhance overall player engagement. Collaborate with marketing teams to build predictive financial models that optimise return on investment and improve campaign efficiency. Create and maintain automated data infrastructure, including dashboards and reporting systems, to provide real-time performance tracking. Work cross-functionally to plan and implement dynamic in-game activities and engagement strategies to maximise user retention. Design and deploy advanced machine learning models to integrate data-driven solutions into core business operations. Regularly communicate analytical findings to key stakeholders, influencing product development and marketing strategies. Stay ahead of industry advancements by researching and adopting emerging AI and machine learning methodologies to enhance game performance and operational efficiency. Requirements: Commercial experience in data analytics, ideally with a focus on the online gaming industry. Strong academic background (BA/B.Sc.) in Statistics, Mathematics, Engineering, Economics, or related fields. Expertise in statistical modeling and programming using Python or R. Proficiency in SQL with the ability to query large, complex datasets. Experience working with BI visualisation tools (Tableau, Looker, etc.). A structured and analytical mindset with the ability to translate complex data into clear business insights. Excellent communication skills - able to effectively present data-driven recommendations to various stakeholders. Passion for the gaming industry and a deep curiosity for understanding player behaviours and engagement trends. If this role interests you and you would like to learn more, please apply here or contact us via (feel free to include a CV for review).
Feb 15, 2025
Full time
Data Scientist An exciting opportunity has emerged for a Data Scientist/Analyst to join a rapidly growing company in the online gaming sector. This innovative and forward-thinking organisation is revolutionising skill-based games, providing players with a highly engaging experience that rewards strategic gameplay. With a strong focus on data-driven decision-making, this role offers a unique chance to work at the cutting edge of the gaming industry while contributing to key business strategies. About the Role This is an opportunity to be part of an elite team where your insights will shape the future of gaming . The company fosters a highly collaborative and non-hierarchical culture, giving every team member the autonomy to drive impactful decisions. You will work alongside experienced industry professionals in a fast-paced, dynamic environment that values creativity, innovation, and analytical excellence. Responsibilities: Perform comprehensive data analysis on vast and intricate gameplay datasets to identify meaningful trends and drive strategic initiatives. Extract valuable insights to refine game mechanics, balance in-game economies, and enhance overall player engagement. Collaborate with marketing teams to build predictive financial models that optimise return on investment and improve campaign efficiency. Create and maintain automated data infrastructure, including dashboards and reporting systems, to provide real-time performance tracking. Work cross-functionally to plan and implement dynamic in-game activities and engagement strategies to maximise user retention. Design and deploy advanced machine learning models to integrate data-driven solutions into core business operations. Regularly communicate analytical findings to key stakeholders, influencing product development and marketing strategies. Stay ahead of industry advancements by researching and adopting emerging AI and machine learning methodologies to enhance game performance and operational efficiency. Requirements: Commercial experience in data analytics, ideally with a focus on the online gaming industry. Strong academic background (BA/B.Sc.) in Statistics, Mathematics, Engineering, Economics, or related fields. Expertise in statistical modeling and programming using Python or R. Proficiency in SQL with the ability to query large, complex datasets. Experience working with BI visualisation tools (Tableau, Looker, etc.). A structured and analytical mindset with the ability to translate complex data into clear business insights. Excellent communication skills - able to effectively present data-driven recommendations to various stakeholders. Passion for the gaming industry and a deep curiosity for understanding player behaviours and engagement trends. If this role interests you and you would like to learn more, please apply here or contact us via (feel free to include a CV for review).
What's the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products, and our business. We generate insights that build customer empathy, drive product strategy, and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data, and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products, and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You'll partner with product teams to help them identify important questions and answer those questions with data. You'll work closely with product managers, designers, and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities. You'll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll partner closely with product researchers to build a holistic understanding of our customers, our products, and our business. You'll influence our product roadmap and product strategy through experimentation, exploratory analysis, and quantitative research. You'll build and automate actionable models and dashboards. You'll craft data stories and share your findings and recommendations across R&D and the broader company. You'll drive and shape core RAD foundations and help us improve how the RAD org operates. What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions. Excellent SQL skills and good knowledge of statistics. Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision. Excellent communication skills (technical and non-technical) and a focus on driving impact. Strong growth mindset and sense of ownership. Innate passion and curiosity. Bonus skills & attributes Experience with a scientific computing language (such as R or Python). Experience with BI/Visualization tools like Tableau, Superset, and Looker. Experience with data modeling and ETL pipelines. Experience working with product teams. Benefits We are a well-treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews - we reward great work. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Open vacation policy and flexible holidays so you can take time off when you need it. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done.
Feb 15, 2025
Full time
What's the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products, and our business. We generate insights that build customer empathy, drive product strategy, and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data, and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products, and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You'll partner with product teams to help them identify important questions and answer those questions with data. You'll work closely with product managers, designers, and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities. You'll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll partner closely with product researchers to build a holistic understanding of our customers, our products, and our business. You'll influence our product roadmap and product strategy through experimentation, exploratory analysis, and quantitative research. You'll build and automate actionable models and dashboards. You'll craft data stories and share your findings and recommendations across R&D and the broader company. You'll drive and shape core RAD foundations and help us improve how the RAD org operates. What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions. Excellent SQL skills and good knowledge of statistics. Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision. Excellent communication skills (technical and non-technical) and a focus on driving impact. Strong growth mindset and sense of ownership. Innate passion and curiosity. Bonus skills & attributes Experience with a scientific computing language (such as R or Python). Experience with BI/Visualization tools like Tableau, Superset, and Looker. Experience with data modeling and ETL pipelines. Experience working with product teams. Benefits We are a well-treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews - we reward great work. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Open vacation policy and flexible holidays so you can take time off when you need it. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done.
Introduction JOIN US! We seek an Associate Legal Counsel to join our Legal team, based in London. As an Associate Legal Counsel, you will play a crucial role in supporting SymphonyAI's various divisions. This position is ideal for lawyers qualified in an EU jurisdiction looking to gain their first legal experience in the UK, or for UK solicitors looking for their first experience in the technology sector. You will gradually take on more responsibilities as you gain experience and independence. You will be part of a collaborative and supportive legal team dedicated to your professional growth. Job Description What You'll Do: Draft, review and negotiate contractual documents such as order forms, statements of work, service agreements, etc. Support the legal operations team with various tasks, ensuring the smooth running of departmental processes. Review Data Processing Agreements (DPAs) and Security Addendums with guidance from senior legal team members. Contribute to non-commercial tasks as required, learning from experienced colleagues. Assist with the initial legal review of RFPs and bids. Provide preliminary advice and support to business stakeholders on routine legal matters. Assist in responding to legal questions on supplier questionnaires, gathering necessary information and documentation. Develop an understanding of regulatory matters affecting the business, such as GDPR, with support from the team. Collaborate with the sales and bid teams during the competitive bidding stage, providing legal input where needed. Help ensure internal governance related to our commercial offerings is followed. What You'll Bring: Lawyer qualified in an EU jurisdiction seeking first UK legal experience, or UK solicitor looking for a first experience in the technology sector. Strong communication skills with the ability to explain basic legal concepts clearly. Basic understanding of contractual and legal principles related to commercial transactions. Ability to manage and prioritize multiple tasks efficiently. Interest in AI, technology and data protection considerations. Desirable but Not Essential: Familiarity with different cultural environments and contracting customs within Europe. Proficiency in European languages is a plus. Basic knowledge of SaaS contracting. Interest or experience in working with financial services customers. What We Offer: Competitive salary and benefits package. Flexible hybrid working model. Opportunities for professional growth and development. Collaborative and inclusive work environment. Access to the latest technologies and tools. A chance to make a tangible impact on cutting-edge industrial AI solutions. About Us SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. Visit here , for more information about how we hire, what's in it for you, our culture and values.
Feb 15, 2025
Full time
Introduction JOIN US! We seek an Associate Legal Counsel to join our Legal team, based in London. As an Associate Legal Counsel, you will play a crucial role in supporting SymphonyAI's various divisions. This position is ideal for lawyers qualified in an EU jurisdiction looking to gain their first legal experience in the UK, or for UK solicitors looking for their first experience in the technology sector. You will gradually take on more responsibilities as you gain experience and independence. You will be part of a collaborative and supportive legal team dedicated to your professional growth. Job Description What You'll Do: Draft, review and negotiate contractual documents such as order forms, statements of work, service agreements, etc. Support the legal operations team with various tasks, ensuring the smooth running of departmental processes. Review Data Processing Agreements (DPAs) and Security Addendums with guidance from senior legal team members. Contribute to non-commercial tasks as required, learning from experienced colleagues. Assist with the initial legal review of RFPs and bids. Provide preliminary advice and support to business stakeholders on routine legal matters. Assist in responding to legal questions on supplier questionnaires, gathering necessary information and documentation. Develop an understanding of regulatory matters affecting the business, such as GDPR, with support from the team. Collaborate with the sales and bid teams during the competitive bidding stage, providing legal input where needed. Help ensure internal governance related to our commercial offerings is followed. What You'll Bring: Lawyer qualified in an EU jurisdiction seeking first UK legal experience, or UK solicitor looking for a first experience in the technology sector. Strong communication skills with the ability to explain basic legal concepts clearly. Basic understanding of contractual and legal principles related to commercial transactions. Ability to manage and prioritize multiple tasks efficiently. Interest in AI, technology and data protection considerations. Desirable but Not Essential: Familiarity with different cultural environments and contracting customs within Europe. Proficiency in European languages is a plus. Basic knowledge of SaaS contracting. Interest or experience in working with financial services customers. What We Offer: Competitive salary and benefits package. Flexible hybrid working model. Opportunities for professional growth and development. Collaborative and inclusive work environment. Access to the latest technologies and tools. A chance to make a tangible impact on cutting-edge industrial AI solutions. About Us SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. Visit here , for more information about how we hire, what's in it for you, our culture and values.
Johannesburg or Cape Town, South Africa, Sand Technologies Are you an experienced Product Owner who wants to transform businesses around the world with AI technology? This might just be the job for you! About Sand Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. About the role We are seeking a highly motivated and experienced Product Owner to join our dynamic team building the user interface for our cutting-edge Data Science and AI platform. This platform empowers data scientists and AI engineers to build, train, and deploy sophisticated models. As the Product Owner, you will be the voice of the customer and will be responsible for defining, prioritizing, and managing the product backlog to deliver a world-class user experience. You will work closely with a talented team of designers and engineers in a fast-paced, agile environment. Specific Responsibilities Product Vision & Strategy: Collaborate with stakeholders to define the product vision, strategy, and roadmap for the platform's user interface. Backlog Management: Own and maintain the product backlog, ensuring it is prioritized, refined, and reflects the needs of users and the business. User Story Creation: Write clear, concise, and testable user stories with well-defined acceptance criteria, focusing on user value and business objectives. Sprint Planning & Execution: Actively participate in sprint planning, daily stand-ups, sprint reviews, and retrospectives, ensuring smooth sprint execution. Stakeholder Management: Effectively communicate with stakeholders, including data scientists, AI engineers, product managers, and business leaders, to gather feedback and ensure alignment. User Research & Analysis: Conduct user research, analyze user feedback, and use data to inform product decisions and prioritize features. Acceptance Testing: Ensure that delivered increments meet the defined acceptance criteria and quality standards. Roadmap Planning: Contribute to the overall product roadmap, ensuring alignment with the broader product strategy. Requirements - Essential Proven experience as a Product Owner in an Agile development environment (Scrum or Kanban) building front end applications. Demonstrable experience in writing user stories, managing product backlogs, and prioritizing features. Strong understanding of agile principles and practices, including sprint planning, daily stand-ups, sprint reviews, and retrospectives. Excellent communication, interpersonal, and stakeholder management skills. Ability to translate complex technical concepts into clear and concise user stories. Strong analytical and problem-solving skills. Experience working with design and engineering teams. A passion for building user-centric products. Requirements - Preferable Experience working on data science or AI-related products or platforms. Familiarity with UI/UX design principles. Experience with user research methodologies. CSM (Certified Scrum Master) or CSPO (Certified Scrum Product Owner) certification. Personal Attributes Courage: Willingness to speak up, challenge the status quo, and embrace new challenges. Humility: Openness to learning, seeking help when needed, and a focus on serving others. Adventure: A passion for setting ambitious goals, tackling difficult tasks, and finding joy in the journey. Initiative: Proactive problem-solving, a sense of ownership, and a willingness to go above and beyond. Resilience: The ability to bounce back from setbacks, persevere through challenges, and emerge stronger. If you're ready to transform businesses around the world with AI technology, we'd love to hear from you. Please submit your resume detailing your experience and vision for the role. Apply for this job indicates a required field
Feb 15, 2025
Full time
Johannesburg or Cape Town, South Africa, Sand Technologies Are you an experienced Product Owner who wants to transform businesses around the world with AI technology? This might just be the job for you! About Sand Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. About the role We are seeking a highly motivated and experienced Product Owner to join our dynamic team building the user interface for our cutting-edge Data Science and AI platform. This platform empowers data scientists and AI engineers to build, train, and deploy sophisticated models. As the Product Owner, you will be the voice of the customer and will be responsible for defining, prioritizing, and managing the product backlog to deliver a world-class user experience. You will work closely with a talented team of designers and engineers in a fast-paced, agile environment. Specific Responsibilities Product Vision & Strategy: Collaborate with stakeholders to define the product vision, strategy, and roadmap for the platform's user interface. Backlog Management: Own and maintain the product backlog, ensuring it is prioritized, refined, and reflects the needs of users and the business. User Story Creation: Write clear, concise, and testable user stories with well-defined acceptance criteria, focusing on user value and business objectives. Sprint Planning & Execution: Actively participate in sprint planning, daily stand-ups, sprint reviews, and retrospectives, ensuring smooth sprint execution. Stakeholder Management: Effectively communicate with stakeholders, including data scientists, AI engineers, product managers, and business leaders, to gather feedback and ensure alignment. User Research & Analysis: Conduct user research, analyze user feedback, and use data to inform product decisions and prioritize features. Acceptance Testing: Ensure that delivered increments meet the defined acceptance criteria and quality standards. Roadmap Planning: Contribute to the overall product roadmap, ensuring alignment with the broader product strategy. Requirements - Essential Proven experience as a Product Owner in an Agile development environment (Scrum or Kanban) building front end applications. Demonstrable experience in writing user stories, managing product backlogs, and prioritizing features. Strong understanding of agile principles and practices, including sprint planning, daily stand-ups, sprint reviews, and retrospectives. Excellent communication, interpersonal, and stakeholder management skills. Ability to translate complex technical concepts into clear and concise user stories. Strong analytical and problem-solving skills. Experience working with design and engineering teams. A passion for building user-centric products. Requirements - Preferable Experience working on data science or AI-related products or platforms. Familiarity with UI/UX design principles. Experience with user research methodologies. CSM (Certified Scrum Master) or CSPO (Certified Scrum Product Owner) certification. Personal Attributes Courage: Willingness to speak up, challenge the status quo, and embrace new challenges. Humility: Openness to learning, seeking help when needed, and a focus on serving others. Adventure: A passion for setting ambitious goals, tackling difficult tasks, and finding joy in the journey. Initiative: Proactive problem-solving, a sense of ownership, and a willingness to go above and beyond. Resilience: The ability to bounce back from setbacks, persevere through challenges, and emerge stronger. If you're ready to transform businesses around the world with AI technology, we'd love to hear from you. Please submit your resume detailing your experience and vision for the role. Apply for this job indicates a required field
Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at ! We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on At Zopa, data and the application of machine learning is at the heart of what we do and the products we bring to market. Within consumer financial services we have pioneered modern data science techniques using advanced ML models for more than 7 years. Today more than 98% of our lending decisions are driven by ML models - so it's safe to say it is seriously impactful work! A day in the life Lead high-impact projects related to data and modelling, with a specific focus on impairment. Own the full lifecycle of your project, including the discovery of business opportunities through statistical analysis, data curation and processing, feature engineering, development of machine learning models, deployment to production, and model monitoring. Conduct regular analysis of model performance, including tracking key metrics, identifying anomalies, and diagnosing potential issues to ensure models remain robust and effective. Monitor model results and business impact, proactively identifying risks and implementing improvements when necessary. Engage with senior stakeholders across the company, influence critical business decisions, and drive projects that impact on our products and millions of customers. Work closely with product managers, analysts, data engineers, and software engineers to advance your projects. Support other data scientists through knowledge sharing, code review, collaboration on common utilities, and analytical infrastructure. About you You are proficient in Python and SQL, with a good understanding of best practices in software engineering. You have in-depth knowledge of machine learning algorithms (e.g., logistic regression, random forest, gradient boosted trees, neural networks, k-means, etc.) and statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference). You have a strong understanding of effective MLOps processes, ensuring robust and scalable machine learning model deployment, monitoring, and maintenance. You love data. You are passionate about tackling real-world problems with data and have a proven track record of solving complex data problems that deliver business value. You are a scientist-curious, eager to learn, and willing to challenge the status quo. You embrace innovation for the benefit of our customers and the world. You are a great communicator who enjoys influencing decision-makers with insights from data. You can foster mutual understanding and trust with stakeholders from different backgrounds. You are a team player, striving for the success of the team and collaborating with an open mind. You have a can-do attitude and a strong commitment to getting the job done. You have working knowledge of Git, Docker, CI/CD, and REST APIs. Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
Feb 15, 2025
Full time
Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at ! We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on At Zopa, data and the application of machine learning is at the heart of what we do and the products we bring to market. Within consumer financial services we have pioneered modern data science techniques using advanced ML models for more than 7 years. Today more than 98% of our lending decisions are driven by ML models - so it's safe to say it is seriously impactful work! A day in the life Lead high-impact projects related to data and modelling, with a specific focus on impairment. Own the full lifecycle of your project, including the discovery of business opportunities through statistical analysis, data curation and processing, feature engineering, development of machine learning models, deployment to production, and model monitoring. Conduct regular analysis of model performance, including tracking key metrics, identifying anomalies, and diagnosing potential issues to ensure models remain robust and effective. Monitor model results and business impact, proactively identifying risks and implementing improvements when necessary. Engage with senior stakeholders across the company, influence critical business decisions, and drive projects that impact on our products and millions of customers. Work closely with product managers, analysts, data engineers, and software engineers to advance your projects. Support other data scientists through knowledge sharing, code review, collaboration on common utilities, and analytical infrastructure. About you You are proficient in Python and SQL, with a good understanding of best practices in software engineering. You have in-depth knowledge of machine learning algorithms (e.g., logistic regression, random forest, gradient boosted trees, neural networks, k-means, etc.) and statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference). You have a strong understanding of effective MLOps processes, ensuring robust and scalable machine learning model deployment, monitoring, and maintenance. You love data. You are passionate about tackling real-world problems with data and have a proven track record of solving complex data problems that deliver business value. You are a scientist-curious, eager to learn, and willing to challenge the status quo. You embrace innovation for the benefit of our customers and the world. You are a great communicator who enjoys influencing decision-makers with insights from data. You can foster mutual understanding and trust with stakeholders from different backgrounds. You are a team player, striving for the success of the team and collaborating with an open mind. You have a can-do attitude and a strong commitment to getting the job done. You have working knowledge of Git, Docker, CI/CD, and REST APIs. Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
What if you could work with the best and brightest minds in the industry? With us you can. Our community of over 9,000 employees in the UK plan, design, and deliver projects such as skyscrapers, train stations, carbon emission reduction, offshore wind farms, and road design that help shape the environment and the future of those that use them. Join the WSP Apprenticeship programme and help design our tomorrow. Click on the following link to find out more about our Apprenticeships: What if you could imagine a better future for us all and a better future for you? WSP Your new role, what's involved? As a Data Scientist Degree Apprentice in our Advisory, Data and Decision Science Team no two days will be the same. During your time as an Apprentice you can expect to develop tools using software such as Python, study applications of statistical techniques, and use data and analytical techniques to measure and monitor the impact of projects across the entire asset lifecycle. You will be a full-time, permanent employee, getting paid while working on exciting, real-world projects from day one. With support from your experienced team and dedicated buddy, you'll gain hands-on experience in an inspiring environment. You will be equipped with the most sophisticated design tools, exploring fresh, new ways to design and build for our future, using the latest software, gaining technical experience while you learn on the job. You'll start your apprenticeship in September 2025, attending a local university for either one day per week or block placement, gaining a full undergraduate degree in your chosen subject. Typically, the Degree Apprenticeship takes between 5-6 years to complete (including End Point Assessment in England). Our dedicated Early Careers team will work closely with you over the course of your apprenticeship to support and plan a development pathway that suits you. We also work together with local universities to make sure you are getting the best out of your apprenticeship. As an Apprentice with WSP you will feel a sense of belonging in an environment where everyone feels respected and valued. We want you to be your true authentic self at work and be inspired, learn, discover, and feel empowered in your career. "At WSP, I have experienced an environment of inclusivity, challenge and a true sense of belonging." Katelyn, Undergraduate Transport Planner, currently on the Degree Apprenticeship. Essential Criteria: You will have achieved 5 GCSE's grade C/Level 5 or above including English, Maths, Science, and IT. You will have achieved or be predicted A Levels (or equivalent) with grades BBB, to include Maths. Or you will have achieved or be predicted a BTEC Extended Diploma (Level 3) in a relevant subject with grades DDM or above. Please note: candidates must complete the application form in full, answering all specified questions. This requirement applies to all candidates, inclusive of their background. Successful completion of this stage is mandatory. Candidates who pass this initial stage will then be required to complete an online behavioural assessment. Both the application form and the behavioural assessment are essential parts of our early career's recruitment process. What is the process? Submit Application: We do not require you to submit a CV to apply; instead, you will need to complete a short online application form. You'll receive a confirmation email within 48 hours of submitting your application. Online Behavioural Assessment: If you meet our eligibility requirements and we have a role that matches your chosen preferences, you will be sent an online behavioural assessment to complete by our partner, Arctic Shores. To learn more about the assessment please visit Support For Candidates Arctic Shores . Assessment Centre or Interview: Next, a shortlist of candidates will be created by our hiring managers and those people will be invited to an assessment centre or face-to-face interview, within 8 weeks of the initial application. Please note, with the volume of applications we receive not all candidates who are successful at the online assessment can proceed to the interview stage. Please note, the process can take up to 12 weeks in total if you're an early applicant. We will aim to keep you informed throughout the time that your application is being considered; however, due to the volume of applications received, we are not able to respond to individual requests for status updates.
Feb 15, 2025
Full time
What if you could work with the best and brightest minds in the industry? With us you can. Our community of over 9,000 employees in the UK plan, design, and deliver projects such as skyscrapers, train stations, carbon emission reduction, offshore wind farms, and road design that help shape the environment and the future of those that use them. Join the WSP Apprenticeship programme and help design our tomorrow. Click on the following link to find out more about our Apprenticeships: What if you could imagine a better future for us all and a better future for you? WSP Your new role, what's involved? As a Data Scientist Degree Apprentice in our Advisory, Data and Decision Science Team no two days will be the same. During your time as an Apprentice you can expect to develop tools using software such as Python, study applications of statistical techniques, and use data and analytical techniques to measure and monitor the impact of projects across the entire asset lifecycle. You will be a full-time, permanent employee, getting paid while working on exciting, real-world projects from day one. With support from your experienced team and dedicated buddy, you'll gain hands-on experience in an inspiring environment. You will be equipped with the most sophisticated design tools, exploring fresh, new ways to design and build for our future, using the latest software, gaining technical experience while you learn on the job. You'll start your apprenticeship in September 2025, attending a local university for either one day per week or block placement, gaining a full undergraduate degree in your chosen subject. Typically, the Degree Apprenticeship takes between 5-6 years to complete (including End Point Assessment in England). Our dedicated Early Careers team will work closely with you over the course of your apprenticeship to support and plan a development pathway that suits you. We also work together with local universities to make sure you are getting the best out of your apprenticeship. As an Apprentice with WSP you will feel a sense of belonging in an environment where everyone feels respected and valued. We want you to be your true authentic self at work and be inspired, learn, discover, and feel empowered in your career. "At WSP, I have experienced an environment of inclusivity, challenge and a true sense of belonging." Katelyn, Undergraduate Transport Planner, currently on the Degree Apprenticeship. Essential Criteria: You will have achieved 5 GCSE's grade C/Level 5 or above including English, Maths, Science, and IT. You will have achieved or be predicted A Levels (or equivalent) with grades BBB, to include Maths. Or you will have achieved or be predicted a BTEC Extended Diploma (Level 3) in a relevant subject with grades DDM or above. Please note: candidates must complete the application form in full, answering all specified questions. This requirement applies to all candidates, inclusive of their background. Successful completion of this stage is mandatory. Candidates who pass this initial stage will then be required to complete an online behavioural assessment. Both the application form and the behavioural assessment are essential parts of our early career's recruitment process. What is the process? Submit Application: We do not require you to submit a CV to apply; instead, you will need to complete a short online application form. You'll receive a confirmation email within 48 hours of submitting your application. Online Behavioural Assessment: If you meet our eligibility requirements and we have a role that matches your chosen preferences, you will be sent an online behavioural assessment to complete by our partner, Arctic Shores. To learn more about the assessment please visit Support For Candidates Arctic Shores . Assessment Centre or Interview: Next, a shortlist of candidates will be created by our hiring managers and those people will be invited to an assessment centre or face-to-face interview, within 8 weeks of the initial application. Please note, with the volume of applications we receive not all candidates who are successful at the online assessment can proceed to the interview stage. Please note, the process can take up to 12 weeks in total if you're an early applicant. We will aim to keep you informed throughout the time that your application is being considered; however, due to the volume of applications received, we are not able to respond to individual requests for status updates.
