About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you're passionate about state-of-the-art tech products, have hands-on experience with Python, SQL, and REST APIs, and bring 2-5 years of customer-facing experience, you'll thrive in this role. Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you'll love this job! What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You possess a solid understanding of REST APIs, including design, integration, and authentication. Additionally, you have strong knowledge of Python and SQL. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish and/or Portuguese What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
10/05/2025
Full time
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you're passionate about state-of-the-art tech products, have hands-on experience with Python, SQL, and REST APIs, and bring 2-5 years of customer-facing experience, you'll thrive in this role. Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you'll love this job! What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You possess a solid understanding of REST APIs, including design, integration, and authentication. Additionally, you have strong knowledge of Python and SQL. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish and/or Portuguese What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about building AI products that solve real customer problems, enjoy working in a fast-paced environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you. What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services) You have a background and experience in applying AI & machine learning to solve real-world problem You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience building & running scalable micro services in the cloud You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
10/05/2025
Full time
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about building AI products that solve real customer problems, enjoy working in a fast-paced environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you. What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services) You have a background and experience in applying AI & machine learning to solve real-world problem You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience building & running scalable micro services in the cloud You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
Grayce is looking for ambitious and analytical graduates to join its dynamic team as Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining hands-on experience in data-driven decision-making, business intelligence, and technology solutions. You will receive specialist training, mentorship, and development opportunities through Grayce's Accelerated Development Programme, helping you build a strong foundation for a successful career in data analytics. If you are eager to apply your analytical skills and contribute to transformational projects, this role offers a fantastic opportunity to develop technical expertise, problem-solving abilities, and industry experience. About Grayce For over a decade, Grayce has been transforming the way businesses approach change and transformation. Established in 2012, Grayce provides a cost-effective, long-term solution to help organisations grow through its Development and Delivery Model. The company has successfully launched the careers of thousands of Analysts, shaping the next generation of digital leaders and innovators. Grayce collaborates with global organisations across industries, equipping them with change management, technology, and data capabilities. By hiring, training, and deploying early-career professionals, Grayce delivers high-performing talent ready to drive transformation. With extensive experience in talent development and deployment, Grayce offers a scalable, low-risk solution that enables businesses to build long-term capabilities. Through its Accelerated Development Programme, the company has supported over 2,000 projects across more than 100 organisations, ensuring sustainable growth and innovation. Position: Graduate Data Analyst Job Type: Full Time Location: London About the Role Job Position: Graduate Data Analyst (Engineer/Scientist) - via the Graduate Development Programme Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject. Right to work in the UK unsponsored for the duration of the programme. Ability to work on site 5 days a week. Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants. Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we're looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you'll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together. Responsibilities Understanding the types of roles available to a Graduate Data Analyst: Data Analyst: Kick-start your career as a Data Analyst, where you'll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You'll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment. Data Engineer: Launch your career as a Data Engineer, where you'll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You'll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for some of the world's most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond. Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles. Opportunity: You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations. Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving. Mentoring: Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They'll be your go-to, offering support, insights and sharing experiences. Progression: Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme. What makes a great Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. Why work for us? Competitive Salary: Starting at £28,000 with potential for significant growth. Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career. Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce. Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing. Required Documents CV/Resume Application Process Join Grayce today and take the first step toward becoming a future leader in data analytics. APPLY NOW
10/05/2025
Full time
Grayce is looking for ambitious and analytical graduates to join its dynamic team as Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining hands-on experience in data-driven decision-making, business intelligence, and technology solutions. You will receive specialist training, mentorship, and development opportunities through Grayce's Accelerated Development Programme, helping you build a strong foundation for a successful career in data analytics. If you are eager to apply your analytical skills and contribute to transformational projects, this role offers a fantastic opportunity to develop technical expertise, problem-solving abilities, and industry experience. About Grayce For over a decade, Grayce has been transforming the way businesses approach change and transformation. Established in 2012, Grayce provides a cost-effective, long-term solution to help organisations grow through its Development and Delivery Model. The company has successfully launched the careers of thousands of Analysts, shaping the next generation of digital leaders and innovators. Grayce collaborates with global organisations across industries, equipping them with change management, technology, and data capabilities. By hiring, training, and deploying early-career professionals, Grayce delivers high-performing talent ready to drive transformation. With extensive experience in talent development and deployment, Grayce offers a scalable, low-risk solution that enables businesses to build long-term capabilities. Through its Accelerated Development Programme, the company has supported over 2,000 projects across more than 100 organisations, ensuring sustainable growth and innovation. Position: Graduate Data Analyst Job Type: Full Time Location: London About the Role Job Position: Graduate Data Analyst (Engineer/Scientist) - via the Graduate Development Programme Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject. Right to work in the UK unsponsored for the duration of the programme. Ability to work on site 5 days a week. Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants. Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we're looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you'll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together. Responsibilities Understanding the types of roles available to a Graduate Data Analyst: Data Analyst: Kick-start your career as a Data Analyst, where you'll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You'll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment. Data Engineer: Launch your career as a Data Engineer, where you'll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You'll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for some of the world's most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond. Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles. Opportunity: You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations. Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving. Mentoring: Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They'll be your go-to, offering support, insights and sharing experiences. Progression: Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme. What makes a great Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. Why work for us? Competitive Salary: Starting at £28,000 with potential for significant growth. Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career. Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce. Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing. Required Documents CV/Resume Application Process Join Grayce today and take the first step toward becoming a future leader in data analytics. APPLY NOW
About the Role: Grade Level (for internal use): 11 The Role: Data Scientist, Credit Research & Insights The Team: The Credit Research & Insights team, within S&P Global Ratings Research, provides timely credit research and insight in relation to global credit and rating performance trends. The team generates leading-edge high frequency credit research which is widely used throughout the firm and by external stakeholders. The Impact: S&P Global Ratings Credit Research & Insights team is looking for an experienced data scientist who will play a crucial role in shaping and managing the team's data-driven research projects. This role serves as the backbone to all the team's data science related projects. The ideal candidate should be highly motivated, goal-oriented and be able to work independently on data science projects. She or he will need to interact with senior analysts and management across the firm as well as senior external parties. What's in it for you: Opportunity to work on high profile credit research projects and reports, which are extensively read outside the firm. Ability to influence and shape future data driven global research initiatives, using extensive proprietary datasets. Highly visible role with exposure to and engagement with multiple teams and stakeholders across the organization. Opportunity to work with an extensive list of proprietary datasets, as well as external sources, and be the original source of new research initiatives. Exposure to global credit markets including multiple asset classes (corporates, public finance, structured finance, sovereigns). Engagement with external stakeholders. Responsibilities: Organize and analyze large data sets and be able to communicate your findings to senior analysts. Undertake pre-processing of structured and unstructured data. Drive both business decisions and research based on the insights obtained from the data. Be able to use natural language processing to analyze internal and external data. Propose data solutions and strategies to business challenges and opportunities. Assist with improving data efficiencies and processes across the team. Conduct quantitative and qualitative credit research, and various statistical analysis to analyze trends. Monitor and analyze key global market credit trends. Manage Access and Oracle databases, including writing queries. Write commentary to support research observations. Meet rigorous publishing deadlines. Interpret and articulate research report findings for external clients, and internal stakeholders. Stay actively abreast of financial market events and their implications. What We are Looking For: Basic Qualifications: 3-5 years of experience in a data science role. Degree in a highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis. Experience with scientific scripting languages (Python, R, Matlab). Experience accessing and manipulating data in SQL database environments. Experience presenting to internal and external audiences. Comfortable working in a dynamic, fast-paced environment. Team player with track record of collaboration with cross functional and cross regional teams. Demonstrated ability to self-manage, take initiative, and meet deadlines. Preferred Qualifications: Advanced degree in quantitative field preferred. Prior experience working in a research capacity within financial markets. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. For more information, visit Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
09/05/2025
Full time
About the Role: Grade Level (for internal use): 11 The Role: Data Scientist, Credit Research & Insights The Team: The Credit Research & Insights team, within S&P Global Ratings Research, provides timely credit research and insight in relation to global credit and rating performance trends. The team generates leading-edge high frequency credit research which is widely used throughout the firm and by external stakeholders. The Impact: S&P Global Ratings Credit Research & Insights team is looking for an experienced data scientist who will play a crucial role in shaping and managing the team's data-driven research projects. This role serves as the backbone to all the team's data science related projects. The ideal candidate should be highly motivated, goal-oriented and be able to work independently on data science projects. She or he will need to interact with senior analysts and management across the firm as well as senior external parties. What's in it for you: Opportunity to work on high profile credit research projects and reports, which are extensively read outside the firm. Ability to influence and shape future data driven global research initiatives, using extensive proprietary datasets. Highly visible role with exposure to and engagement with multiple teams and stakeholders across the organization. Opportunity to work with an extensive list of proprietary datasets, as well as external sources, and be the original source of new research initiatives. Exposure to global credit markets including multiple asset classes (corporates, public finance, structured finance, sovereigns). Engagement with external stakeholders. Responsibilities: Organize and analyze large data sets and be able to communicate your findings to senior analysts. Undertake pre-processing of structured and unstructured data. Drive both business decisions and research based on the insights obtained from the data. Be able to use natural language processing to analyze internal and external data. Propose data solutions and strategies to business challenges and opportunities. Assist with improving data efficiencies and processes across the team. Conduct quantitative and qualitative credit research, and various statistical analysis to analyze trends. Monitor and analyze key global market credit trends. Manage Access and Oracle databases, including writing queries. Write commentary to support research observations. Meet rigorous publishing deadlines. Interpret and articulate research report findings for external clients, and internal stakeholders. Stay actively abreast of financial market events and their implications. What We are Looking For: Basic Qualifications: 3-5 years of experience in a data science role. Degree in a highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis. Experience with scientific scripting languages (Python, R, Matlab). Experience accessing and manipulating data in SQL database environments. Experience presenting to internal and external audiences. Comfortable working in a dynamic, fast-paced environment. Team player with track record of collaboration with cross functional and cross regional teams. Demonstrated ability to self-manage, take initiative, and meet deadlines. Preferred Qualifications: Advanced degree in quantitative field preferred. Prior experience working in a research capacity within financial markets. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. For more information, visit Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
What is Sylvera anyway? Sylvera provides carbon data for genuine climate impact. Our mission is to incentivize investment in real climate action. Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero. Unfortunately, the voluntary carbon markets have been plagued with mistrust and a lack of effectiveness since they've emerged - until Sylvera. To help organizations ensure they're making the most effective investments, Sylvera builds software that independently and accurately automates the evaluation of carbon projects that capture, remove, or avoid emissions. With Sylvera's data and tools, businesses and governments can confidently invest in, benchmark, deliver, and report real climate impact. Our team is made up of leading minds in climate change from scientists to policy, finance and carbon market experts. We work in partnership with scientific organizations, universities, governments and think tanks to develop and test rigorous and holistic ratings methodologies, leveraging the latest technology. Founded in 2020, Sylvera has employees worldwide with offices in London, New York, Belgrade and Singapore. We've raised over $96 million from leading VCs like Balderton Capital, Index Ventures and Insight Partners to date. What will I be doing? Having found an early product-market fit in a nascent, rapidly growing space, we're now expanding our expertise and insights at pace. We're looking for a mission-driven leader with an academic or extensive industrial background in nature-based solutions (NBS), forestry, agriculture and/or biomass quantification to manage and coordinate the development of our NBS project assessment methodologies. It's a critical role at the heart of our business - you'll coordinate with leaders across Sylvera and within the industry regularly. Your leadership will be critical in positioning Sylvera as a leader in the VCM and in driving innovations in Sylvera's analytical breadth. You will report to the VP of Assessment Products. Specific responsibilities will include: Develop and execute the company's strategy for the assessment of NBS technologies, aligning with our mission and market opportunities; identifying emerging trends and novel approaches. Conduct and support in-depth research on NBS projects, operational and monitoring technologies, integrating our Screenings, Ratings and Pre-issuance Assessments frameworks. Collaborating with our Marketing Team to produce insightful sector research, demonstrating Sylvera's expertise, analysis, and thought leadership related to NBS. Build and support strategic partnerships with technology providers, data providers, research institutions, project developers and industry stakeholders. Represent Sylvera at industry conferences, workshops, and events, advocating for the adoption of transparency with NBS projects and expanding our industry presence. Execute strategy across multidisciplinary teams of engineers, scientists, and analysts dedicated to advancing Sylvera's assessment capabilities in the NBS space. Work with the relevant members of Sylvera's Tech Advisory Board, where relevant. We're looking for someone who has: Advanced degree in environmental science, forestry, agriculture, biomass, nature-related remote sensing, or a related field with a minimum of 5 years of experience related to carbon removals or reductions from NBS, environmental technology, or related fields, with a track record of leading successful projects or products from concept to deployment. A PhD is preferred but not required. Deep understanding of NBS, including current trends, challenges, and opportunities within the VCM. Strong communication and advocacy skills, with the ability to articulate complex technical concepts to a diverse audience, including non-technical stakeholders. Results-oriented project and team management capabilities; able to lead and execute effectively with capacity to translate big ideas into action. Passion for climate action and alignment with Sylvera's mission to drive impactful investments in the fight against climate change. We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Benefits Equity in a rapidly growing startup Private Health Insurance and Life Assurance Unlimited annual leave Enhanced parental leave Access to Mental Health support via Spill Office bar tab once a month Weekly drinks in the office Catered lunch once a month in office Monthly Deliveroo/equivalent allowance once a month Location We work flexibly but encourage people to come in regularly to our great office in Old St. Our Values Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We keep our focus on the long-term, even if that means short-term challenges. Do what's right - even when it's hard: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each other's success and make the company stronger in the long-run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
09/05/2025
Full time
What is Sylvera anyway? Sylvera provides carbon data for genuine climate impact. Our mission is to incentivize investment in real climate action. Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero. Unfortunately, the voluntary carbon markets have been plagued with mistrust and a lack of effectiveness since they've emerged - until Sylvera. To help organizations ensure they're making the most effective investments, Sylvera builds software that independently and accurately automates the evaluation of carbon projects that capture, remove, or avoid emissions. With Sylvera's data and tools, businesses and governments can confidently invest in, benchmark, deliver, and report real climate impact. Our team is made up of leading minds in climate change from scientists to policy, finance and carbon market experts. We work in partnership with scientific organizations, universities, governments and think tanks to develop and test rigorous and holistic ratings methodologies, leveraging the latest technology. Founded in 2020, Sylvera has employees worldwide with offices in London, New York, Belgrade and Singapore. We've raised over $96 million from leading VCs like Balderton Capital, Index Ventures and Insight Partners to date. What will I be doing? Having found an early product-market fit in a nascent, rapidly growing space, we're now expanding our expertise and insights at pace. We're looking for a mission-driven leader with an academic or extensive industrial background in nature-based solutions (NBS), forestry, agriculture and/or biomass quantification to manage and coordinate the development of our NBS project assessment methodologies. It's a critical role at the heart of our business - you'll coordinate with leaders across Sylvera and within the industry regularly. Your leadership will be critical in positioning Sylvera as a leader in the VCM and in driving innovations in Sylvera's analytical breadth. You will report to the VP of Assessment Products. Specific responsibilities will include: Develop and execute the company's strategy for the assessment of NBS technologies, aligning with our mission and market opportunities; identifying emerging trends and novel approaches. Conduct and support in-depth research on NBS projects, operational and monitoring technologies, integrating our Screenings, Ratings and Pre-issuance Assessments frameworks. Collaborating with our Marketing Team to produce insightful sector research, demonstrating Sylvera's expertise, analysis, and thought leadership related to NBS. Build and support strategic partnerships with technology providers, data providers, research institutions, project developers and industry stakeholders. Represent Sylvera at industry conferences, workshops, and events, advocating for the adoption of transparency with NBS projects and expanding our industry presence. Execute strategy across multidisciplinary teams of engineers, scientists, and analysts dedicated to advancing Sylvera's assessment capabilities in the NBS space. Work with the relevant members of Sylvera's Tech Advisory Board, where relevant. We're looking for someone who has: Advanced degree in environmental science, forestry, agriculture, biomass, nature-related remote sensing, or a related field with a minimum of 5 years of experience related to carbon removals or reductions from NBS, environmental technology, or related fields, with a track record of leading successful projects or products from concept to deployment. A PhD is preferred but not required. Deep understanding of NBS, including current trends, challenges, and opportunities within the VCM. Strong communication and advocacy skills, with the ability to articulate complex technical concepts to a diverse audience, including non-technical stakeholders. Results-oriented project and team management capabilities; able to lead and execute effectively with capacity to translate big ideas into action. Passion for climate action and alignment with Sylvera's mission to drive impactful investments in the fight against climate change. We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Benefits Equity in a rapidly growing startup Private Health Insurance and Life Assurance Unlimited annual leave Enhanced parental leave Access to Mental Health support via Spill Office bar tab once a month Weekly drinks in the office Catered lunch once a month in office Monthly Deliveroo/equivalent allowance once a month Location We work flexibly but encourage people to come in regularly to our great office in Old St. Our Values Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We keep our focus on the long-term, even if that means short-term challenges. Do what's right - even when it's hard: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each other's success and make the company stronger in the long-run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce and payments ecosystem, starting with first-party and APP fraud prevention. We are at an exciting point in our journey, as we go to market and drive growth of The Trudenty Trust Network. This next chapter of our story is one in which we will drive impact across the commerce ecosystem, create to stay at the leading edge of innovation across the industry whilst building material value for our team (inclusive of shareholders). We are a 10 person seed stage company that has secured partnerships with notable names in the payments and commerce ecosystem, and raised investment from our first choice of partners who align with our values and ambition for the future. Our team is one of exceptional 'outliers'; defined by grit, resilience, creativity in problem solving, intelligence and mastery of our domains. We are also mission-driven and results-oriented. Working with us, you will get the opportunity to do some of the best work of your life and unfold your full potential as a human. We are a remote team, that co-works from London frequently. So easy travel into London should be possible for everyone in our team. The role We are looking for a Machine Learning Engineer with a spike in data engineering and maintaining real-time data pipelines. You will work with our Product & Engineering team along the end-to-end algorithm lifecycle to advance the Trudenty Trust Network. A bit more on what you'll do: Data Engineering Develop and maintain real-time data pipelines for processing large-scale data Ensure data quality and integrity in all stages of the data lifecycle Develop and maintain ETL processes for data ingestion and processing Algorithm Development, Model Training and Optimisation Design, develop, and implement advanced machine learning algorithms for fraud prevention and user personalization Train and fine-tune machine learning models using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to extract meaningful insights and features for model training MLOps - Deployment into production environments, Monitoring and Maintenance Experience deploying and maintaining large-scale ML inference pipelines into production Implement and monitor model performance in production environments on Kubernetes and AWS cloud platforms. Utilize Docker for containerization and orchestrate containerized applications using Kubernetes. Code Review and Documentation Conduct code reviews to ensure high-quality, scalable, and maintainable code Create comprehensive documentation for developed algorithms and models Collaboration Collaborate with our cross-functional team; including the founders, sales, data scientists, engineers, and product to understand business requirements and implement effective solutions Research and Innovation Stay abreast of the latest advancements in fraud prevention and machine learning and contribute to the exploration and integration of innovative techniques About you: You will have proven experience with data science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a 'data engineer'. You have worked in a high growth and fast moving company. You are agile, comfortable with ambiguity and are a creative thinker who can apply research and past experiences to new problems. What we're looking for: Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years of professional experience in a relevant area like fraud prevention or credit scoring Machine Learning Expertise: Strong understanding of machine learning algorithms and their practical applications, particularly in fraud prevention and user personalization. Experience designing, developing, and implementing advanced machine learning models. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Data Engineering Skills: Proficiency in developing and maintaining real-time data pipelines for processing large-scale data. Experience with ETL processes for data ingestion and processing. Proficiency in Python and SQL. Experience with big data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS cloud platform (experience with GCP or Azure is a plus). Experience monitoring and optimizing model performance in production settings. Programming Languages: Strong coding skills in Python and SQL. Experience with Node.js, JavaScript (JS), and TypeScript (TS) is a plus. Statistical Knowledge: Solid understanding of statistical concepts and methodologies for analyzing and interpreting large datasets. Ability to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity package, on a standard vesting schedule Impact & Exposure: Work at the leading edge of innovation building our machine-learning powered smart contracts for fraud prevention Growth: An opportunity to wear many hats, and grow into a role you can inform Hybrid work: Flexibility to work from home, with travel into London The process: Submit your CV along with answers to the handful of questions we ask of every candidate A 60min call to explore initial fit with the founders A 60min technical problem solving interview, alongside your potential ML colleague Final discussion with the Founder CEO to align before we make a formal offer
09/05/2025
Full time
Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce and payments ecosystem, starting with first-party and APP fraud prevention. We are at an exciting point in our journey, as we go to market and drive growth of The Trudenty Trust Network. This next chapter of our story is one in which we will drive impact across the commerce ecosystem, create to stay at the leading edge of innovation across the industry whilst building material value for our team (inclusive of shareholders). We are a 10 person seed stage company that has secured partnerships with notable names in the payments and commerce ecosystem, and raised investment from our first choice of partners who align with our values and ambition for the future. Our team is one of exceptional 'outliers'; defined by grit, resilience, creativity in problem solving, intelligence and mastery of our domains. We are also mission-driven and results-oriented. Working with us, you will get the opportunity to do some of the best work of your life and unfold your full potential as a human. We are a remote team, that co-works from London frequently. So easy travel into London should be possible for everyone in our team. The role We are looking for a Machine Learning Engineer with a spike in data engineering and maintaining real-time data pipelines. You will work with our Product & Engineering team along the end-to-end algorithm lifecycle to advance the Trudenty Trust Network. A bit more on what you'll do: Data Engineering Develop and maintain real-time data pipelines for processing large-scale data Ensure data quality and integrity in all stages of the data lifecycle Develop and maintain ETL processes for data ingestion and processing Algorithm Development, Model Training and Optimisation Design, develop, and implement advanced machine learning algorithms for fraud prevention and user personalization Train and fine-tune machine learning models using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to extract meaningful insights and features for model training MLOps - Deployment into production environments, Monitoring and Maintenance Experience deploying and maintaining large-scale ML inference pipelines into production Implement and monitor model performance in production environments on Kubernetes and AWS cloud platforms. Utilize Docker for containerization and orchestrate containerized applications using Kubernetes. Code Review and Documentation Conduct code reviews to ensure high-quality, scalable, and maintainable code Create comprehensive documentation for developed algorithms and models Collaboration Collaborate with our cross-functional team; including the founders, sales, data scientists, engineers, and product to understand business requirements and implement effective solutions Research and Innovation Stay abreast of the latest advancements in fraud prevention and machine learning and contribute to the exploration and integration of innovative techniques About you: You will have proven experience with data science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a 'data engineer'. You have worked in a high growth and fast moving company. You are agile, comfortable with ambiguity and are a creative thinker who can apply research and past experiences to new problems. What we're looking for: Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years of professional experience in a relevant area like fraud prevention or credit scoring Machine Learning Expertise: Strong understanding of machine learning algorithms and their practical applications, particularly in fraud prevention and user personalization. Experience designing, developing, and implementing advanced machine learning models. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Data Engineering Skills: Proficiency in developing and maintaining real-time data pipelines for processing large-scale data. Experience with ETL processes for data ingestion and processing. Proficiency in Python and SQL. Experience with big data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS cloud platform (experience with GCP or Azure is a plus). Experience monitoring and optimizing model performance in production settings. Programming Languages: Strong coding skills in Python and SQL. Experience with Node.js, JavaScript (JS), and TypeScript (TS) is a plus. Statistical Knowledge: Solid understanding of statistical concepts and methodologies for analyzing and interpreting large datasets. Ability to apply statistical techniques to validate models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity package, on a standard vesting schedule Impact & Exposure: Work at the leading edge of innovation building our machine-learning powered smart contracts for fraud prevention Growth: An opportunity to wear many hats, and grow into a role you can inform Hybrid work: Flexibility to work from home, with travel into London The process: Submit your CV along with answers to the handful of questions we ask of every candidate A 60min call to explore initial fit with the founders A 60min technical problem solving interview, alongside your potential ML colleague Final discussion with the Founder CEO to align before we make a formal offer
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