Description Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech. We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis. Requirements Ideally, you have at least 5-6 years of experience as a professional software engineer. We are very open about how we deliver software. For the most part we code in Java and to a lesser extent python. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. We have built our entire banking platform in-house and mostly in Java. We are looking for engineers to enhance our banking platform using both off-the-shelf machine learning models as well as models trained in-house. The main part of our Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase Python for data science AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform Desirable: Work with a range of different technologies and programming languages Our process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems.Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Mar 28, 2024
Full time
Description Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech. We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis. Requirements Ideally, you have at least 5-6 years of experience as a professional software engineer. We are very open about how we deliver software. For the most part we code in Java and to a lesser extent python. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. We have built our entire banking platform in-house and mostly in Java. We are looking for engineers to enhance our banking platform using both off-the-shelf machine learning models as well as models trained in-house. The main part of our Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase Python for data science AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform Desirable: Work with a range of different technologies and programming languages Our process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems.Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Description Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager. About the Role Starling engineers love building things, creating new stuff, learning new technologies and working with others across all areas of the business to bring brilliant products and features to life. Hear from our engineers in our latest blogs or our case studies with Women in Tech. As an Infrastructure Engineer at Starling, you'll be building and supporting infrastructure that spans across Google Cloud, AWS and our physical data centres to support our internal operations and interfacing with our software engineering teams to deliver the infrastructure that drives our business. In this particular role, someone with a keen interest in designing scalable and secure data and machine learning platforms would be beneficial. Responsibilities Working with functional delivery teams to translate business requirements into technical implementations Designing and building patterns and frameworks to be used by engineering teams Taking ownership of projects and ensuring timely delivery Diagnosing system and network failures under pressure Familiarity with distributed systems and immutable infrastructure Keeping abreast of new technologies and changes in the industry Requirements What skills are essential: In-depth knowledge of core GCP cloud services Experience with Infrastructure as Code and infrastructure provisioning tools System architecture and design Experience with modern development practices and using Python/Golang or scripting languages Experience in building and maintaining containers What skills are desirable: Knowledge of data- and AI-related GCP services (e.g., Kafka/BigQuery cloud resources) Experience with AWS Experience running services in Kubernetes Track record of maintaining compliant environments e.g. PCI-DSS Working knowledge of Linux administration Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial phone call - 30 minutes Take home technical test to be discussed in the face to face - 3 hours Technical face to face - 1.5 hours Final Interview - 40 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Mar 28, 2024
Full time
Description Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager. About the Role Starling engineers love building things, creating new stuff, learning new technologies and working with others across all areas of the business to bring brilliant products and features to life. Hear from our engineers in our latest blogs or our case studies with Women in Tech. As an Infrastructure Engineer at Starling, you'll be building and supporting infrastructure that spans across Google Cloud, AWS and our physical data centres to support our internal operations and interfacing with our software engineering teams to deliver the infrastructure that drives our business. In this particular role, someone with a keen interest in designing scalable and secure data and machine learning platforms would be beneficial. Responsibilities Working with functional delivery teams to translate business requirements into technical implementations Designing and building patterns and frameworks to be used by engineering teams Taking ownership of projects and ensuring timely delivery Diagnosing system and network failures under pressure Familiarity with distributed systems and immutable infrastructure Keeping abreast of new technologies and changes in the industry Requirements What skills are essential: In-depth knowledge of core GCP cloud services Experience with Infrastructure as Code and infrastructure provisioning tools System architecture and design Experience with modern development practices and using Python/Golang or scripting languages Experience in building and maintaining containers What skills are desirable: Knowledge of data- and AI-related GCP services (e.g., Kafka/BigQuery cloud resources) Experience with AWS Experience running services in Kubernetes Track record of maintaining compliant environments e.g. PCI-DSS Working knowledge of Linux administration Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial phone call - 30 minutes Take home technical test to be discussed in the face to face - 3 hours Technical face to face - 1.5 hours Final Interview - 40 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
About Lendable Lendable is on a mission to make consumer finance amazing:faster, cheaper and friendlier. world's leading fintech companies and are off to a strong start: UK's newest unicorns with a team of just over 400 people top 10 fastest-growing tech companies in the UK Profitable since 2017 Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we've rebuilt theBig Threeconsumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets(UK and US)where trillions worth of these are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo best technologyin-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the team Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products. You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models. Our team's objectives The data science team develops proprietary risk models which are core to the company's success. We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine-learning-engineering team. How you'll impact those objectives Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value. Rigorously search for the best models that enhance underwriting quality Clearly communicate results to stakeholders through verbal and written communication. Share ideas with the wider team, learn from and contribute to the body of knowledge. Key skills Experience using Python Strong proficiency with PyData stack Knowledge of machine learning techniques and their respective pros and cons. Confident communicator and contributes effectively within a team environment Self driven and willing to lead on projects / new initiatives Nice to have Interest in machine learning engineering Strong SQL and interest in data engineering Interview process A quick phone call with one of the talent team A short exercise to complete in your own time Onsite Interviews: Discuss the exercise you completed Meet the team you'll work with daily Meet the exec team Life at Lendable (check out our Glassdoor page ) world's most successful fintech companies. Best-in-class compensation, including equity. every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas. Our in-house chef prepares fresh, healthy lunches in the office every Tuesday-Thursday private health insurance equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London
Mar 28, 2024
Full time
About Lendable Lendable is on a mission to make consumer finance amazing:faster, cheaper and friendlier. world's leading fintech companies and are off to a strong start: UK's newest unicorns with a team of just over 400 people top 10 fastest-growing tech companies in the UK Profitable since 2017 Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we've rebuilt theBig Threeconsumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets(UK and US)where trillions worth of these are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo best technologyin-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the team Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products. You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models. Our team's objectives The data science team develops proprietary risk models which are core to the company's success. We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine-learning-engineering team. How you'll impact those objectives Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value. Rigorously search for the best models that enhance underwriting quality Clearly communicate results to stakeholders through verbal and written communication. Share ideas with the wider team, learn from and contribute to the body of knowledge. Key skills Experience using Python Strong proficiency with PyData stack Knowledge of machine learning techniques and their respective pros and cons. Confident communicator and contributes effectively within a team environment Self driven and willing to lead on projects / new initiatives Nice to have Interest in machine learning engineering Strong SQL and interest in data engineering Interview process A quick phone call with one of the talent team A short exercise to complete in your own time Onsite Interviews: Discuss the exercise you completed Meet the team you'll work with daily Meet the exec team Life at Lendable (check out our Glassdoor page ) world's most successful fintech companies. Best-in-class compensation, including equity. every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas. Our in-house chef prepares fresh, healthy lunches in the office every Tuesday-Thursday private health insurance equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Mar 26, 2024
Full time
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top 20 ranked University. A-Levels ABB or above Proficiency in multiple programming languages such as Java, Python, C++, or JavaScript. Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID
Mar 25, 2024
Full time
GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top 20 ranked University. A-Levels ABB or above Proficiency in multiple programming languages such as Java, Python, C++, or JavaScript. Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information 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. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
Mar 23, 2024
Full time
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information 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. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
We're looking for a Senior Data Scientist - Offers Team Someone who loves to code and get their hands dirty with raw data. It doesn't really matter whether people call you an Engineer, Physicist or Mathematician, what matters to us is that you are a curious and continuous learner with a hunger to achieve the very best in what you do. About us 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 over 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. Our culture We're expanding fast across our offices in London, Leeds and Frankfurt. With all this growth, we're looking for people who want to learn on the job and lead projects, knowing that your ideas will impact thousands of small businesses. Your mission Our Data Scientists develop cutting edge algorithms using statistical modelling and machine learning techniques. Using Python (Pandas, NumPy, and Scikit-learn) they work in a fast-paced, collaborative and dynamic environment to produce data driven solutions, which will have significant business impact. Our Offers team is responsible for optimising the types of loan offers we make to customers, whilst providing a seamless UX for customers to view and accept their offer. As a Senior Data Scientist joining the Offers team, your primary focus is to figure out the offer terms (e.g. pricing, amounts) we should be making to customers, to maximise offer take-up and value to iwoca. You will look at observational data, identify hypotheses for possible unknown relationships, figure out the commercial relevance of these hypotheses, and design and implement tests to test these. Requirements We look for people who are smart, humble, motivated and who are always looking to improve. Ideally you'll have: Strong numerate background, e.g. in Engineering, Mathematics, Physics, or similar. Must have a background in Probability & Statistics. Programming experience: Python, Java, C/C++ or similar. Experience with Pandas, NumPy, SciPy, R, Matlab, and/or SQL Ability to dive deep into the business context and translate data into actionable insights Self-starter with ability to work autonomously in an unstructured environment. Demonstrable experience using machine learning techniques. Experience with Bayesian analysis preferred. Knowledge of computer-science fundamentals. We expect to pay from £70,000 to £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 regularly remunerate staff for their increasing value to our business. At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. You'll have access to ample opportunities for skill-building, mentorship, and career progression, and can decide your career path, focusing on frontend, branching into full-stack, or developing your skills in project and people leadership. 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. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. Our benefits We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds and Frankfurt. Events and clubs, like bingo, comedy nights, yoga classes, football Two company retreats a year, we've been to France, Italy, Spain and further afield Plenty of drinks and snacks in our offices We offer a wide range of benefits: Medical insurance from Vitality, including discounted gym membership 25 days' holiday, an extra day off for your birthday and the option to buy or sell an additional 5 days of annual leave Instant access to emotional and mental health support with our partner, Spill Share options Generous maternity and paternity leave A nursery tax benefit scheme to help you save money Paid volunteering day to support your chosen charity Extra leave if you want to travel or study One-month fully paid sabbatical after 4 years Cycle-to-work scheme Electric car scheme And to make sure we all keep learning, we offer: An L&D budget for everyone, including a book budget Company-wide talks with internal and external speakers Access to learning platforms like Treehouse if you want to learn to code For more information: iwoca benefits & policies: coda.io/d/iwoca-benefits-policies Interview welcome pack: coda.io/d/iwoca-interview-welcome-pack
Mar 23, 2024
Full time
We're looking for a Senior Data Scientist - Offers Team Someone who loves to code and get their hands dirty with raw data. It doesn't really matter whether people call you an Engineer, Physicist or Mathematician, what matters to us is that you are a curious and continuous learner with a hunger to achieve the very best in what you do. About us 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 over 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. Our culture We're expanding fast across our offices in London, Leeds and Frankfurt. With all this growth, we're looking for people who want to learn on the job and lead projects, knowing that your ideas will impact thousands of small businesses. Your mission Our Data Scientists develop cutting edge algorithms using statistical modelling and machine learning techniques. Using Python (Pandas, NumPy, and Scikit-learn) they work in a fast-paced, collaborative and dynamic environment to produce data driven solutions, which will have significant business impact. Our Offers team is responsible for optimising the types of loan offers we make to customers, whilst providing a seamless UX for customers to view and accept their offer. As a Senior Data Scientist joining the Offers team, your primary focus is to figure out the offer terms (e.g. pricing, amounts) we should be making to customers, to maximise offer take-up and value to iwoca. You will look at observational data, identify hypotheses for possible unknown relationships, figure out the commercial relevance of these hypotheses, and design and implement tests to test these. Requirements We look for people who are smart, humble, motivated and who are always looking to improve. Ideally you'll have: Strong numerate background, e.g. in Engineering, Mathematics, Physics, or similar. Must have a background in Probability & Statistics. Programming experience: Python, Java, C/C++ or similar. Experience with Pandas, NumPy, SciPy, R, Matlab, and/or SQL Ability to dive deep into the business context and translate data into actionable insights Self-starter with ability to work autonomously in an unstructured environment. Demonstrable experience using machine learning techniques. Experience with Bayesian analysis preferred. Knowledge of computer-science fundamentals. We expect to pay from £70,000 to £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 regularly remunerate staff for their increasing value to our business. At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. You'll have access to ample opportunities for skill-building, mentorship, and career progression, and can decide your career path, focusing on frontend, branching into full-stack, or developing your skills in project and people leadership. 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. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. Our benefits We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds and Frankfurt. Events and clubs, like bingo, comedy nights, yoga classes, football Two company retreats a year, we've been to France, Italy, Spain and further afield Plenty of drinks and snacks in our offices We offer a wide range of benefits: Medical insurance from Vitality, including discounted gym membership 25 days' holiday, an extra day off for your birthday and the option to buy or sell an additional 5 days of annual leave Instant access to emotional and mental health support with our partner, Spill Share options Generous maternity and paternity leave A nursery tax benefit scheme to help you save money Paid volunteering day to support your chosen charity Extra leave if you want to travel or study One-month fully paid sabbatical after 4 years Cycle-to-work scheme Electric car scheme And to make sure we all keep learning, we offer: An L&D budget for everyone, including a book budget Company-wide talks with internal and external speakers Access to learning platforms like Treehouse if you want to learn to code For more information: iwoca benefits & policies: coda.io/d/iwoca-benefits-policies Interview welcome pack: coda.io/d/iwoca-interview-welcome-pack
GRADUATE/JUNIOR SOFTWARE DEVELOPER - GLASGOW Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top ranked University. Proficiency in programming languages such as Java, Python, C++ Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - GLASGOW
Mar 22, 2024
Full time
GRADUATE/JUNIOR SOFTWARE DEVELOPER - GLASGOW Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top ranked University. Proficiency in programming languages such as Java, Python, C++ Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - GLASGOW
Machine Learning Engineer - LLMs, Fintech We are the pioneers of change, creating sustainable value for firms and customers across the globe. As a Machine Learning Engineer, you will play a crucial role in our mission to replace outdated systems and reduce costs, risks, and friction in asset management. Your expertise will contribute to our digital transformation journey, where we forge strong partnerships and unify transfer agency, fund platforms, and accounting into a seamless global solution. Key Responsibilities: Develop and implement advanced machine learning algorithms and models to optimize asset management processes. Analyze and interpret large datasets to derive meaningful insights and identify trends that drive strategic decision-making. Collaborate closely with cross-functional teams to integrate machine learning capabilities into our technology platform. Stay up-to-date with the latest advancements in machine learning and AI to drive innovation within the company. What will you need? Solid experience in developing and deploying machine learning models in a real-world setting. Proficiency in programming languages such as Python, R, or Java for data manipulation and analysis. Strong understanding of statistical modeling techniques and large language models. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. We are a young fintech company led by experienced founders and teams who are at the forefront of innovation in asset and wealth management! Join us now!
Aug 13, 2023
Full time
Machine Learning Engineer - LLMs, Fintech We are the pioneers of change, creating sustainable value for firms and customers across the globe. As a Machine Learning Engineer, you will play a crucial role in our mission to replace outdated systems and reduce costs, risks, and friction in asset management. Your expertise will contribute to our digital transformation journey, where we forge strong partnerships and unify transfer agency, fund platforms, and accounting into a seamless global solution. Key Responsibilities: Develop and implement advanced machine learning algorithms and models to optimize asset management processes. Analyze and interpret large datasets to derive meaningful insights and identify trends that drive strategic decision-making. Collaborate closely with cross-functional teams to integrate machine learning capabilities into our technology platform. Stay up-to-date with the latest advancements in machine learning and AI to drive innovation within the company. What will you need? Solid experience in developing and deploying machine learning models in a real-world setting. Proficiency in programming languages such as Python, R, or Java for data manipulation and analysis. Strong understanding of statistical modeling techniques and large language models. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. We are a young fintech company led by experienced founders and teams who are at the forefront of innovation in asset and wealth management! Join us now!
Edinburgh, Midlothian
Lloyds Banking Group
Edinburgh, Midlothian
Lloyds Banking Group
End Date 24 February 2019 Salary Range £48,636 - £54,040 We support agile working - click here for more information on agile working options. Agile Working Options Other Agile Working Arrangements / Open to Discussion Job Description Summary A key role in our Group CIO Engineering Data Science team driving data science model development and engineering capabilities. Job Description Lloyds Banking Group is the UK's biggest Retail, Digital and Mobile bank with over 30 million active online customers across our three main brands. Our products touch millions of customers so we have a big responsibility to help Britain Prosper. We've placed digital banking at the heart of our strategy to become the best bank for customers, backed with an investment of £3bn in Digital Transformation into areas such as Data Science, AI and Robotics. So why join our CIO Engineering Team? You'd help us play a pivotal role in engineering new capabilities for the Group and build the bank of the future. You'd be working with a group of AI, RPA and Automation trailblazers at the hub of a ground-breaking agenda. You'll use data science techniques in a huge way to rapidly transform everything from how we deliver key engineering projects to optimising new Cloud platforms and various strategic transformations. You'll work on well-invested programmes at scale with over 70,000 users, thousands of apps, platforms and devices and 30m+ customers relying on your work. Interested? Here are some real examples of the work you could be doing: You'll be harvesting and wrangling data from various sources (Cloud data stores, NoSQL databases etc) to engineer automated solutions for projects such as optimisation of applications or the load placed between various Cloud platforms. You'll develop new data models, algorithms and visualisations to help our engineers fix our technology "Stack" and predict the downstream impacts and effects of system outages. And you'll help overhaul our massive patch management operations using streamed and batch process data to deliver better systems and devices. Together we'll make it possible.. So who are we looking for? We're keen to attract established Data Engineers/Data Scientists with skills spanning across the following: A strong knowledge of Python, including libraries (Pandas, Numpy, Matplotlib etc.). Skills in model-development and an understanding of different data sources and structures including NoSQL databases (Cassandra, Splunk, Log Analytics). A good understanding of machine learning principles (with additional skills in ML technologies like Scikit-Learn and understanding of common ML algorithms being very helpful). Any wider knowledge of software development practices or Cloud data engineering would also be very useful. And how could we challenge you? You'll get exposure to a host of wider technologies and careers by broadening your data science and engineering horizons. We'll give you the stretch you desire in terms of systems data science with opportunities to widen your skills in engineering data-led solutions to complex technology stacks. What we'd give you in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll also give you a broad remuneration package which includes: A Car/allowance A Performance Share bonus of c15% A generous pension contribution A flex cash pot you can adjust to suit your lifestyle. Private health cover 30 days holiday plus bank holidays So if your expertise lies with engineering data, Python and NoSQL databases and joining a growing, state of the art team within a leading FinTech appeals then get in touch, we'd like to hear from you... At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Feb 15, 2019
Edinburgh, Midlothian
Lloyds Banking Group
Edinburgh, Midlothian
Lloyds Banking Group
End Date 24 February 2019 Salary Range £48,636 - £54,040 We support agile working - click here for more information on agile working options. Agile Working Options Other Agile Working Arrangements / Open to Discussion Job Description Summary A key role in our Group CIO Engineering Data Science team driving data science model development and engineering capabilities. Job Description Lloyds Banking Group is the UK's biggest Retail, Digital and Mobile bank with over 30 million active online customers across our three main brands. Our products touch millions of customers so we have a big responsibility to help Britain Prosper. We've placed digital banking at the heart of our strategy to become the best bank for customers, backed with an investment of £3bn in Digital Transformation into areas such as Data Science, AI and Robotics. So why join our CIO Engineering Team? You'd help us play a pivotal role in engineering new capabilities for the Group and build the bank of the future. You'd be working with a group of AI, RPA and Automation trailblazers at the hub of a ground-breaking agenda. You'll use data science techniques in a huge way to rapidly transform everything from how we deliver key engineering projects to optimising new Cloud platforms and various strategic transformations. You'll work on well-invested programmes at scale with over 70,000 users, thousands of apps, platforms and devices and 30m+ customers relying on your work. Interested? Here are some real examples of the work you could be doing: You'll be harvesting and wrangling data from various sources (Cloud data stores, NoSQL databases etc) to engineer automated solutions for projects such as optimisation of applications or the load placed between various Cloud platforms. You'll develop new data models, algorithms and visualisations to help our engineers fix our technology "Stack" and predict the downstream impacts and effects of system outages. And you'll help overhaul our massive patch management operations using streamed and batch process data to deliver better systems and devices. Together we'll make it possible.. So who are we looking for? We're keen to attract established Data Engineers/Data Scientists with skills spanning across the following: A strong knowledge of Python, including libraries (Pandas, Numpy, Matplotlib etc.). Skills in model-development and an understanding of different data sources and structures including NoSQL databases (Cassandra, Splunk, Log Analytics). A good understanding of machine learning principles (with additional skills in ML technologies like Scikit-Learn and understanding of common ML algorithms being very helpful). Any wider knowledge of software development practices or Cloud data engineering would also be very useful. And how could we challenge you? You'll get exposure to a host of wider technologies and careers by broadening your data science and engineering horizons. We'll give you the stretch you desire in terms of systems data science with opportunities to widen your skills in engineering data-led solutions to complex technology stacks. What we'd give you in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll also give you a broad remuneration package which includes: A Car/allowance A Performance Share bonus of c15% A generous pension contribution A flex cash pot you can adjust to suit your lifestyle. Private health cover 30 days holiday plus bank holidays So if your expertise lies with engineering data, Python and NoSQL databases and joining a growing, state of the art team within a leading FinTech appeals then get in touch, we'd like to hear from you... At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Edinburgh, Midlothian
Lloyds Banking Group
End Date 24 February 2019 Salary Range £48,636 - £54,040 We support agile working - click here for more information on agile working options. Agile Working Options Other Agile Working Arrangements / Open to Discussion Job Description Summary A key role in our Group CIO Engineering Data Science team driving data science model development and engineering capabilities. Job Description Lloyds Banking Group is the UK's biggest Retail, Digital and Mobile bank with over 30 million active online customers across our three main brands. Our products touch millions of customers so we have a big responsibility to help Britain Prosper. We've placed digital banking at the heart of our strategy to become the best bank for customers, backed with an investment of £3bn in Digital Transformation into areas such as Data Science, AI and Robotics. So why join our CIO Engineering Team? You'd help us play a pivotal role in engineering new capabilities for the Group and build the bank of the future. You'd be working with a group of AI, RPA and Automation trailblazers at the hub of a ground-breaking agenda. You'll use data science techniques in a huge way to rapidly transform everything from how we deliver key engineering projects to optimising new Cloud platforms and various strategic transformations. You'll work on well-invested programmes at scale with over 70,000 users, thousands of apps, platforms and devices and 30m+ customers relying on your work. Interested? Here are some real examples of the work you could be doing: You'll be harvesting and wrangling data from various sources (Cloud data stores, NoSQL databases etc) to engineer automated solutions for projects such as optimisation of applications or the load placed between various Cloud platforms. You'll develop new data models, algorithms and visualisations to help our engineers fix our technology "Stack" and predict the downstream impacts and effects of system outages. And you'll help overhaul our massive patch management operations using streamed and batch process data to deliver better systems and devices. Together we'll make it possible.. So who are we looking for? We're keen to attract established Data Engineers/Data Scientists with skills spanning across the following: A strong knowledge of Python, including libraries (Pandas, Numpy, Matplotlib etc.). Skills in model-development and an understanding of different data sources and structures including NoSQL databases (Cassandra, Splunk, Log Analytics). A good understanding of machine learning principles (with additional skills in ML technologies like Scikit-Learn and understanding of common ML algorithms being very helpful). Any wider knowledge of software development practices or Cloud data engineering would also be very useful. And how could we challenge you? You'll get exposure to a host of wider technologies and careers by broadening your data science and engineering horizons. We'll give you the stretch you desire in terms of systems data science with opportunities to widen your skills in engineering data-led solutions to complex technology stacks. What we'd give you in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll also give you a broad remuneration package which includes: A Car/allowance A Performance Share bonus of c15% A generous pension contribution A flex cash pot you can adjust to suit your lifestyle. Private health cover 30 days holiday plus bank holidays So if your expertise lies with engineering data, Python and NoSQL databases and joining a growing, state of the art team within a leading FinTech appeals then get in touch, we'd like to hear from you... At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Feb 15, 2019
Edinburgh, Midlothian
Lloyds Banking Group
End Date 24 February 2019 Salary Range £48,636 - £54,040 We support agile working - click here for more information on agile working options. Agile Working Options Other Agile Working Arrangements / Open to Discussion Job Description Summary A key role in our Group CIO Engineering Data Science team driving data science model development and engineering capabilities. Job Description Lloyds Banking Group is the UK's biggest Retail, Digital and Mobile bank with over 30 million active online customers across our three main brands. Our products touch millions of customers so we have a big responsibility to help Britain Prosper. We've placed digital banking at the heart of our strategy to become the best bank for customers, backed with an investment of £3bn in Digital Transformation into areas such as Data Science, AI and Robotics. So why join our CIO Engineering Team? You'd help us play a pivotal role in engineering new capabilities for the Group and build the bank of the future. You'd be working with a group of AI, RPA and Automation trailblazers at the hub of a ground-breaking agenda. You'll use data science techniques in a huge way to rapidly transform everything from how we deliver key engineering projects to optimising new Cloud platforms and various strategic transformations. You'll work on well-invested programmes at scale with over 70,000 users, thousands of apps, platforms and devices and 30m+ customers relying on your work. Interested? Here are some real examples of the work you could be doing: You'll be harvesting and wrangling data from various sources (Cloud data stores, NoSQL databases etc) to engineer automated solutions for projects such as optimisation of applications or the load placed between various Cloud platforms. You'll develop new data models, algorithms and visualisations to help our engineers fix our technology "Stack" and predict the downstream impacts and effects of system outages. And you'll help overhaul our massive patch management operations using streamed and batch process data to deliver better systems and devices. Together we'll make it possible.. So who are we looking for? We're keen to attract established Data Engineers/Data Scientists with skills spanning across the following: A strong knowledge of Python, including libraries (Pandas, Numpy, Matplotlib etc.). Skills in model-development and an understanding of different data sources and structures including NoSQL databases (Cassandra, Splunk, Log Analytics). A good understanding of machine learning principles (with additional skills in ML technologies like Scikit-Learn and understanding of common ML algorithms being very helpful). Any wider knowledge of software development practices or Cloud data engineering would also be very useful. And how could we challenge you? You'll get exposure to a host of wider technologies and careers by broadening your data science and engineering horizons. We'll give you the stretch you desire in terms of systems data science with opportunities to widen your skills in engineering data-led solutions to complex technology stacks. What we'd give you in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll also give you a broad remuneration package which includes: A Car/allowance A Performance Share bonus of c15% A generous pension contribution A flex cash pot you can adjust to suit your lifestyle. Private health cover 30 days holiday plus bank holidays So if your expertise lies with engineering data, Python and NoSQL databases and joining a growing, state of the art team within a leading FinTech appeals then get in touch, we'd like to hear from you... At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
Sep 09, 2016
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
Sep 09, 2016
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
Sep 09, 2016
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role