About Napo Napo is an exciting and rapidly expanding Insurtech start-up dedicated to revolutionising the pet insurance industry. Our mission is to create innovative, customer-centric and transparent products & services to ensure pet parents can keep their pets happy and healthy. Many see pet insurance as a boring but necessary expense, a safety net against unexpected vet bills. We're changing that. How? By being about more than just insurance and creating innovative, memorable experiences that our members love and keep coming back to. The Role As a Data Scientist with Napo, you're a core part of the Pricing & Product functions. You will report into the Head of Pricing and be part of a small highly impactful team. You'll leverage data to inform our pricing strategy and other product decisions, evaluate new opportunities, anticipate potential challenges, and guarantee that our products deliver the most value to our customers, their pets and Napo. For example, you will be working with: Our real-time pricing algorithm, which combines multiple ML models with decision logic to provide the best price for every customer. You will be, together with other Data Scientists, evaluating its performance, finding improvement opportunities and implementing them. Our business intelligence capabilities. You will be, together with other Data Scientists, finding actionable insights not only for the pricing algorithm improvements, but also producing recommendations to inform other teams' and Napo leadership's strategy. Our data infrastructure. You will collaborate with our Data Engineers to ensure that the data warehouse that powers both business intelligence and pricing is robust and meets our business needs. Skills we think you need You have the ability to apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our teams. You have the ability to manage your projects in a data-driven way, based on verifiable hypotheses and clear impact measurement. You have the ability to define, understand, and test opportunities and levers to improve the product, drive roadmaps through your insights and recommendations, and execute on those roadmaps using your technical skills. Experience that is important to us You have a Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. You have experience with SQL, scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Optional You have experience in insurance, pet insurance or pet insurance pricing Optional You have experience in machine learning, including deploying the trained models into production, testing and monitoring their performance. Optional You have experience developing, deploying and maintaining dashboards using interactive data visualization tools (e.g. Tableau, Power BI, Metabase, Looker) Behaviours (outside our values ) to be successful in the role Effective and open communication: It's crucial to communicate complex data findings in a clear and concise manner to non-technical stakeholders, and speak out when you see improvement opportunities (we are all here to learn) Critical Thinking: Beyond just crunching numbers, you always assess the validity and reliability of the recommendations you produce, by challenging both the assumptions and the underlying data. What we offer: Everyone is an owner at Napo; you will receive stock options on day 1 Flexible work environment (we ask people to come to office at least twice a week- we have a friendly office in central London - but of course happy to see each other more often too if preferred) Flexible leave policy (25 days annual holidays + bank holidays), plus your birthday as an additional day off! Budget for personal growth and training Some of our benefits: BUPA health insurance Pension scheme Unlimited GP video consultation (free Babylon Health membership) Our values: Be candid and authentic. We bring our true selves to work - who we wholly are. We are transparent and are not afraid to share information with each other - good and bad news. Trust and care for each other. We trust each other to do the right thing. We are not afraid to make mistakes, and we ask for help when we need it. We encourage each other; when people struggle, we help them. Do the right thing. We are fair to our customers, and we care about the well-being of their pets. When facing difficult decisions, we put ethics above profits. We always act in the best interest of the company. We are all owners and optimise for impact. We are always looking for the most impactful thing to work on. We take responsibility, and we're problem solvers - hold yourself and others accountable. Nothing is somebody else's problem; we are collaborative and always jump in to help where needed.
06/02/2025
Full time
About Napo Napo is an exciting and rapidly expanding Insurtech start-up dedicated to revolutionising the pet insurance industry. Our mission is to create innovative, customer-centric and transparent products & services to ensure pet parents can keep their pets happy and healthy. Many see pet insurance as a boring but necessary expense, a safety net against unexpected vet bills. We're changing that. How? By being about more than just insurance and creating innovative, memorable experiences that our members love and keep coming back to. The Role As a Data Scientist with Napo, you're a core part of the Pricing & Product functions. You will report into the Head of Pricing and be part of a small highly impactful team. You'll leverage data to inform our pricing strategy and other product decisions, evaluate new opportunities, anticipate potential challenges, and guarantee that our products deliver the most value to our customers, their pets and Napo. For example, you will be working with: Our real-time pricing algorithm, which combines multiple ML models with decision logic to provide the best price for every customer. You will be, together with other Data Scientists, evaluating its performance, finding improvement opportunities and implementing them. Our business intelligence capabilities. You will be, together with other Data Scientists, finding actionable insights not only for the pricing algorithm improvements, but also producing recommendations to inform other teams' and Napo leadership's strategy. Our data infrastructure. You will collaborate with our Data Engineers to ensure that the data warehouse that powers both business intelligence and pricing is robust and meets our business needs. Skills we think you need You have the ability to apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our teams. You have the ability to manage your projects in a data-driven way, based on verifiable hypotheses and clear impact measurement. You have the ability to define, understand, and test opportunities and levers to improve the product, drive roadmaps through your insights and recommendations, and execute on those roadmaps using your technical skills. Experience that is important to us You have a Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. You have experience with SQL, scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Optional You have experience in insurance, pet insurance or pet insurance pricing Optional You have experience in machine learning, including deploying the trained models into production, testing and monitoring their performance. Optional You have experience developing, deploying and maintaining dashboards using interactive data visualization tools (e.g. Tableau, Power BI, Metabase, Looker) Behaviours (outside our values ) to be successful in the role Effective and open communication: It's crucial to communicate complex data findings in a clear and concise manner to non-technical stakeholders, and speak out when you see improvement opportunities (we are all here to learn) Critical Thinking: Beyond just crunching numbers, you always assess the validity and reliability of the recommendations you produce, by challenging both the assumptions and the underlying data. What we offer: Everyone is an owner at Napo; you will receive stock options on day 1 Flexible work environment (we ask people to come to office at least twice a week- we have a friendly office in central London - but of course happy to see each other more often too if preferred) Flexible leave policy (25 days annual holidays + bank holidays), plus your birthday as an additional day off! Budget for personal growth and training Some of our benefits: BUPA health insurance Pension scheme Unlimited GP video consultation (free Babylon Health membership) Our values: Be candid and authentic. We bring our true selves to work - who we wholly are. We are transparent and are not afraid to share information with each other - good and bad news. Trust and care for each other. We trust each other to do the right thing. We are not afraid to make mistakes, and we ask for help when we need it. We encourage each other; when people struggle, we help them. Do the right thing. We are fair to our customers, and we care about the well-being of their pets. When facing difficult decisions, we put ethics above profits. We always act in the best interest of the company. We are all owners and optimise for impact. We are always looking for the most impactful thing to work on. We take responsibility, and we're problem solvers - hold yourself and others accountable. Nothing is somebody else's problem; we are collaborative and always jump in to help where needed.
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
05/02/2025
Full time
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
05/02/2025
Full time
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
05/02/2025
Full time
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
. Principal Architect page is loaded Principal Architect Principal Architect locationsLondon time typeFull time posted onPosted Today time left to applyEnd Date: March 31, 2025 (30+ days left to apply) job requisition idSR-29266 It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Principal Architect Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.Please visit for more information about Fractal Location: London, UK Responsibilities: Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision. Engage with senior technical leaders at the client site, becoming a trusted thought partner by understanding their challenges and providing strategic guidance. Build and maintain strong relationships with senior client leaders and cross-functional stakeholders. Proactively understand client needs and align them with Fractal's value propositions, proposing innovative and comprehensive solutions. Collaborate with offshore delivery teams and other multidisciplinary teams within Fractal to ensure seamless integration and delivery of solutions. Be willing to take a hands-on approach to understand complex contexts and underlying client requirements. Participate in the creation and sharing of best practices, technical content, and new reference architectures. Provide technical architecture leadership and direction on projects, ensuring secure, scalable, reliable, and maintainable platforms. Work with data engineers and data scientists to develop architectures and solutions. Assist in ensuring the smooth delivery of services, products, and solutions, while balancing immediate client needs with long-term technical strategy. Success Profile: In-depth experience as an Architect with expertise in Google Cloud Platform and a passion for applying the latest technologies to solve complex business problems. An ideal candidate would have: 12+ years of experience in Data Engineering and Cloud Native technologies (including Google Cloud Platforms), covering big data, analytics, and AI/ML domains. Extensive experience with GCP tools and technologies, including BigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, and Dataproc. Expertise in creating, deploying, configuring, and scaling applications on GCP serverless infrastructure. Strong knowledge and working experience in Data Engineering, Data Management, and Data Governance. Proven track record of delivering multiple end-to-end Data Engineering, Data Warehousing, or Analytics projects. Knowledge of general programming languages and frameworks, particularly Python and/or Java. Familiarity with general technology best practices and development lifecycles such as Agile and CI/CD, as well as DevOps and MLOps for more efficient data and machine learning pipelines. Ability to design and implement future-proof, complex global solutions using GCP services. Hands-on experience with foundational architectures, including microservices, event-driven systems, and event streaming, and online machine learning systems. Excellent communication and influencing skills, with the ability to adapt messages to various audiences and build consensus. Preferred Qualifications Experience in container technologies, specifically Docker and Kubernetes. Experience or knowledge of DevOps on GCP. Google Cloud Professional Cloud Architect Certification. Demonstrated ability to navigate complex stakeholder environments and build strong, lasting relationships. Hands-on approach and willingness to delve into technical details to understand the full context of a problem and ensure the best solutions are provided. Experience with AWS, especially in the context of hybrid cloud setups. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
05/02/2025
Full time
. Principal Architect page is loaded Principal Architect Principal Architect locationsLondon time typeFull time posted onPosted Today time left to applyEnd Date: March 31, 2025 (30+ days left to apply) job requisition idSR-29266 It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Principal Architect Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.Please visit for more information about Fractal Location: London, UK Responsibilities: Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision. Engage with senior technical leaders at the client site, becoming a trusted thought partner by understanding their challenges and providing strategic guidance. Build and maintain strong relationships with senior client leaders and cross-functional stakeholders. Proactively understand client needs and align them with Fractal's value propositions, proposing innovative and comprehensive solutions. Collaborate with offshore delivery teams and other multidisciplinary teams within Fractal to ensure seamless integration and delivery of solutions. Be willing to take a hands-on approach to understand complex contexts and underlying client requirements. Participate in the creation and sharing of best practices, technical content, and new reference architectures. Provide technical architecture leadership and direction on projects, ensuring secure, scalable, reliable, and maintainable platforms. Work with data engineers and data scientists to develop architectures and solutions. Assist in ensuring the smooth delivery of services, products, and solutions, while balancing immediate client needs with long-term technical strategy. Success Profile: In-depth experience as an Architect with expertise in Google Cloud Platform and a passion for applying the latest technologies to solve complex business problems. An ideal candidate would have: 12+ years of experience in Data Engineering and Cloud Native technologies (including Google Cloud Platforms), covering big data, analytics, and AI/ML domains. Extensive experience with GCP tools and technologies, including BigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, and Dataproc. Expertise in creating, deploying, configuring, and scaling applications on GCP serverless infrastructure. Strong knowledge and working experience in Data Engineering, Data Management, and Data Governance. Proven track record of delivering multiple end-to-end Data Engineering, Data Warehousing, or Analytics projects. Knowledge of general programming languages and frameworks, particularly Python and/or Java. Familiarity with general technology best practices and development lifecycles such as Agile and CI/CD, as well as DevOps and MLOps for more efficient data and machine learning pipelines. Ability to design and implement future-proof, complex global solutions using GCP services. Hands-on experience with foundational architectures, including microservices, event-driven systems, and event streaming, and online machine learning systems. Excellent communication and influencing skills, with the ability to adapt messages to various audiences and build consensus. Preferred Qualifications Experience in container technologies, specifically Docker and Kubernetes. Experience or knowledge of DevOps on GCP. Google Cloud Professional Cloud Architect Certification. Demonstrated ability to navigate complex stakeholder environments and build strong, lasting relationships. Hands-on approach and willingness to delve into technical details to understand the full context of a problem and ensure the best solutions are provided. Experience with AWS, especially in the context of hybrid cloud setups. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies - makes decisions that impact the achievement of own organisation's objectives and financial performance. Provide technical leadership for multiple teams of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders, internally, in the customer organisation and with industry leaders, supported by an excellent working knowledge of the customer domain and the ability to communicate technical and non-technical information effectively at all levels. Broker new relationships within the customer organisation, and reach back into Northrop Grumman and its partners to provide added value to the customer through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, and grow a portfolio of projects, using customer knowledge to ensure proposals meet their needs. We are looking for: Champion innovation and best practice, and apply emerging theory to our customers' missions, to ensure Northrop Grumman remains at the leading edge of the application of data science and machine learning. Communicate with senior (internal and customer) stakeholders and convince them of the business benefits of data science and machine learning aligned with wider organisational objectives. Exhibit a breadth of understanding across data science and machine learning and be able to help other data scientists apply this to a range of customer problems, and have deeper expertise in a number of areas of data science and machine learning. Work with data engineers and customers to map, produce, transform and test data feeds that support the application of data science and machine learning solutions. Design, code, test, correct and document moderate-to-complex programs and scripts to agreed specifications and review the code of other data scientists. Experience in geographical information systems and in predictive and prescriptive analysis of geographical data would be a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: . Ready to apply? Yes- Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support: . No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce. Did you know? Northrop Grumman leads the industry team for NASA's James Webb Space Telescope, the largest, most complex and powerful space telescope ever built. Launched in December 2021, the telescope incorporates innovative design, advanced technology, and groundbreaking engineering, and will fundamentally alter our understanding of the universe.
05/02/2025
Full time
Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies - makes decisions that impact the achievement of own organisation's objectives and financial performance. Provide technical leadership for multiple teams of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders, internally, in the customer organisation and with industry leaders, supported by an excellent working knowledge of the customer domain and the ability to communicate technical and non-technical information effectively at all levels. Broker new relationships within the customer organisation, and reach back into Northrop Grumman and its partners to provide added value to the customer through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, and grow a portfolio of projects, using customer knowledge to ensure proposals meet their needs. We are looking for: Champion innovation and best practice, and apply emerging theory to our customers' missions, to ensure Northrop Grumman remains at the leading edge of the application of data science and machine learning. Communicate with senior (internal and customer) stakeholders and convince them of the business benefits of data science and machine learning aligned with wider organisational objectives. Exhibit a breadth of understanding across data science and machine learning and be able to help other data scientists apply this to a range of customer problems, and have deeper expertise in a number of areas of data science and machine learning. Work with data engineers and customers to map, produce, transform and test data feeds that support the application of data science and machine learning solutions. Design, code, test, correct and document moderate-to-complex programs and scripts to agreed specifications and review the code of other data scientists. Experience in geographical information systems and in predictive and prescriptive analysis of geographical data would be a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: . Ready to apply? Yes- Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support: . No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce. Did you know? Northrop Grumman leads the industry team for NASA's James Webb Space Telescope, the largest, most complex and powerful space telescope ever built. Launched in December 2021, the telescope incorporates innovative design, advanced technology, and groundbreaking engineering, and will fundamentally alter our understanding of the universe.
Senior Platform Engineer - DV Cleared Up to £100,000 + Stock Options London, Hybrid (Must have active DV clearance) Would you be interested in joining a new Platform Engineering team for a self-funded scale-up that build and deliver Data Analytics products for government bodies? This data scale-up operate mainly within the public sector, helping government bodies that have vast swathes of data to make better use of it. They're looking to build a new team of Platform Engineers for a new longstanding secure government project, that involves working alongside data engineers and data scientists to manage, support and build the infrastructure. Tech stack, therefore, skills needed: Kubernetes or Openshift ELK Stack, ElasticSearch or Opensearch Linux CI/CD Nice to haves, but definitely not essential: Cloudera Hadoop Spark Kafka Hbase Hue Atlas Logistics: up to £100,000 base salary 30 days holiday + bank holidays Private health care Annual trips to see the northern lights! Location: Central London Please note, candidates MUST already have DV clearance, SC clearance alone doesn't meet the requirement. Apply now, or contact (see below) for more information We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age
05/02/2025
Full time
Senior Platform Engineer - DV Cleared Up to £100,000 + Stock Options London, Hybrid (Must have active DV clearance) Would you be interested in joining a new Platform Engineering team for a self-funded scale-up that build and deliver Data Analytics products for government bodies? This data scale-up operate mainly within the public sector, helping government bodies that have vast swathes of data to make better use of it. They're looking to build a new team of Platform Engineers for a new longstanding secure government project, that involves working alongside data engineers and data scientists to manage, support and build the infrastructure. Tech stack, therefore, skills needed: Kubernetes or Openshift ELK Stack, ElasticSearch or Opensearch Linux CI/CD Nice to haves, but definitely not essential: Cloudera Hadoop Spark Kafka Hbase Hue Atlas Logistics: up to £100,000 base salary 30 days holiday + bank holidays Private health care Annual trips to see the northern lights! Location: Central London Please note, candidates MUST already have DV clearance, SC clearance alone doesn't meet the requirement. Apply now, or contact (see below) for more information We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
05/02/2025
Full time
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Requisition ID: R Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom London, London, United Kingdom Clearance Type: Baseline Personnel Security Standard (BPSS) Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: £64,600. 00 - £96,800 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies. Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders. Broker new relationships within the customer organisation and provide added value through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, using customer knowledge to ensure proposals meet their needs. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Advanced statistics and experience operationalising academic research. Security clearance: You must be able to gain and maintain the relevant UK Government security clearance in line with the job role (SC). Why join us? A mission to believe in - Every day we contribute to building a more secure and connected world. A place to belong and thrive - Every voice matters at our table. Your career, your way - Shape your career journey with diverse roles and mentorship opportunities. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support. No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
04/02/2025
Full time
Requisition ID: R Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom London, London, United Kingdom Clearance Type: Baseline Personnel Security Standard (BPSS) Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: £64,600. 00 - £96,800 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies. Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders. Broker new relationships within the customer organisation and provide added value through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, using customer knowledge to ensure proposals meet their needs. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Advanced statistics and experience operationalising academic research. Security clearance: You must be able to gain and maintain the relevant UK Government security clearance in line with the job role (SC). Why join us? A mission to believe in - Every day we contribute to building a more secure and connected world. A place to belong and thrive - Every voice matters at our table. Your career, your way - Shape your career journey with diverse roles and mentorship opportunities. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support. No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
Requisition ID: R Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom London, London, United Kingdom Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: 64,600.00 - 96,800.00 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies. Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders. Broker new relationships within the customer organisation, providing added value through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, ensuring proposals meet customer needs. Benefits: We offer a range of flexible and hybrid working options, including optional compressed working schedules. Our benefits include private health care, career development opportunities, and performance bonuses. We are looking for: Champion innovation and best practices in data science and machine learning. Communicate with senior stakeholders and demonstrate the business benefits of data science. Exhibit a breadth of understanding across data science and machine learning. Work with data engineers and customers to support data feeds for data science solutions. Design, code, test, correct and document moderate-to-complex programs and scripts. Experience in geographical information systems and predictive analysis is a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Why join us? A mission to believe in - We contribute to building a more secure and connected world. A place to belong and thrive - Every voice matters, and we support an inclusive community. Your career, your way - Shape your career journey with diverse roles and development opportunities. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information. No, I don't think this role is right for me - Our extensive UK growth means we have exciting new opportunities opening all the time. Northrop Grumman is committed to hiring and retaining a diverse workforce, encouraging individuals from all backgrounds to apply.
04/02/2025
Full time
Requisition ID: R Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom London, London, United Kingdom Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: 64,600.00 - 96,800.00 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies. Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders. Broker new relationships within the customer organisation, providing added value through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, ensuring proposals meet customer needs. Benefits: We offer a range of flexible and hybrid working options, including optional compressed working schedules. Our benefits include private health care, career development opportunities, and performance bonuses. We are looking for: Champion innovation and best practices in data science and machine learning. Communicate with senior stakeholders and demonstrate the business benefits of data science. Exhibit a breadth of understanding across data science and machine learning. Work with data engineers and customers to support data feeds for data science solutions. Design, code, test, correct and document moderate-to-complex programs and scripts. Experience in geographical information systems and predictive analysis is a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Why join us? A mission to believe in - We contribute to building a more secure and connected world. A place to belong and thrive - Every voice matters, and we support an inclusive community. Your career, your way - Shape your career journey with diverse roles and development opportunities. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information. No, I don't think this role is right for me - Our extensive UK growth means we have exciting new opportunities opening all the time. Northrop Grumman is committed to hiring and retaining a diverse workforce, encouraging individuals from all backgrounds to apply.
Senior Data Scientist Location: London What is VEED.IO At VEED, our mission is to make video creation accessible to anyone. No hard-to-use equipment, painful learning curve, or keeping track of multiple subscriptions to take your ideas from record share. With VEED, you can do this with a single tool. In just a few years, we've gone from one user to millions. From no revenue to $30M+ ARR. From bootstrapped to backed by Sequoia , one of the biggest VC firms in the world. From a team of two to a team of 180+. And we're seeking more talented, motivated and entrepreneurial individuals to join our growing team. Where And How We Work At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We require 1 day a week in office for London and Amsterdam-based employees and you have flexibility to decide which day. About the team The Data organization at VEED are stewards for organizational knowledge. We are accountable for ensuring data provides value to internal staff and customers through data driven products, analytics, and processes and platforms. Our vision for data is to inspire and create a data driven culture at VEED. We recognise that data, analytics, or reports are never the purpose. They are tools that aid the deepening of understanding. About the role Here at VEED, we're constantly tackling complex problems to keep building our product in a way that our users love. As a Senior Data Scientist at VEED, you'll work closely with the Product, Data and Business Operations & Strategy team, to leverage data to help us solve some of the biggest strategic projects and questions in our business. For example: How changing our pricing structure will impact MRR and Retention? What customer segments or personas do we have in each of our plans? What is the best metric we should track for product experiment X? What main KPI drivers and levers do we have for Retention and Churn? How can we leverage our financial data to build a detailed dashboard to help the whole company understand what's going on? You'll sit at the intersection of data & analytics, product, and finance to help us make sense of these critical questions. And you will have great scope to take your career at VEED in whichever way you are most excited! What you will do Reports: Detailed reports that provide in-depth analysis of specific business problems, trends, and opportunities. Development and deployment of predictive models that forecast future trends, customer behaviours, and business outcomes. Custom machine learning algorithms tailored to address specific business challenges, such as recommendation systems, fraud detection, or customer segmentation. Efficient data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralised data repository. Cleaned and preprocessed datasets that are ready for analysis, ensuring high data quality and reliability. EDA reports that uncover hidden patterns, correlations, and insights within the data, often presented with visualisations. Analyses that quantify the impact of data science initiatives on business metrics, demonstrating ROI and value. Design and analysis of A/B tests to validate the effectiveness of changes in products, features, or marketing strategies. Comprehensive documentation of methodologies, models, code, and data workflows to ensure reproducibility and knowledge sharing. Clear and compelling presentations that communicate complex data insights and findings to non-technical stakeholders. Automated reporting systems that provide regular updates on key metrics and insights without manual intervention. Optimization models and solutions that improve business processes, resource allocation, and operational efficiency. Training sessions and workshops to upskill team members and promote data literacy within the organisation. Detailed analyses that provide deep insights into customer behaviours, preferences, and lifetime value. Systems to detect and alert on anomalies in business operations, helping to mitigate risks and address issues promptly. Promote a data-driven culture and fluency across the company here at VEED! About You Previous experience in a data science role, delivering insightful and actionable solutions. You probably have 3-5 years of experience, but this isn't set in stone! Strong statistical background / education in a quantitative discipline. We use BigQuery, Fivetran, Amplitude, Metabase, hex and dbt amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if not these ones) is a must-have Being a Python guru is a must-have. We'd be really excited if you knew SQL and a bit of devops too. A good understanding and experience running and interpreting A/B testing Thorough knowledge of data models and algorithms - you'll own the process of determining the impact of experiments on our KPIs A track record of success - either demonstrated through promotions at work or through other activities! Possess strategic thinking skills to identify market trends, competitive landscapes, and opportunities for product innovation Highly detail-oriented with a passion for problem-solving - and a bias for taking action Strong communication, interpersonal and presentation skills (both written and verbal) What we offer Monthly subsidy programme: Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply to what you value most - whether that be to offset the cost of a co-working space, office furniture, childcare, gym membership, etc. Unlimited paid holidays: We value that you get more time with your family and friends. Home office set-up: We have an IT Equipment program to make sure your home office is adequately setup with IT equipment including laptops, monitors, headsets/earbuds, keyboards and more! Mental health benefit : We've partnered with Spill to provide all our employees with confidential mental health support.
04/02/2025
Full time
Senior Data Scientist Location: London What is VEED.IO At VEED, our mission is to make video creation accessible to anyone. No hard-to-use equipment, painful learning curve, or keeping track of multiple subscriptions to take your ideas from record share. With VEED, you can do this with a single tool. In just a few years, we've gone from one user to millions. From no revenue to $30M+ ARR. From bootstrapped to backed by Sequoia , one of the biggest VC firms in the world. From a team of two to a team of 180+. And we're seeking more talented, motivated and entrepreneurial individuals to join our growing team. Where And How We Work At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We require 1 day a week in office for London and Amsterdam-based employees and you have flexibility to decide which day. About the team The Data organization at VEED are stewards for organizational knowledge. We are accountable for ensuring data provides value to internal staff and customers through data driven products, analytics, and processes and platforms. Our vision for data is to inspire and create a data driven culture at VEED. We recognise that data, analytics, or reports are never the purpose. They are tools that aid the deepening of understanding. About the role Here at VEED, we're constantly tackling complex problems to keep building our product in a way that our users love. As a Senior Data Scientist at VEED, you'll work closely with the Product, Data and Business Operations & Strategy team, to leverage data to help us solve some of the biggest strategic projects and questions in our business. For example: How changing our pricing structure will impact MRR and Retention? What customer segments or personas do we have in each of our plans? What is the best metric we should track for product experiment X? What main KPI drivers and levers do we have for Retention and Churn? How can we leverage our financial data to build a detailed dashboard to help the whole company understand what's going on? You'll sit at the intersection of data & analytics, product, and finance to help us make sense of these critical questions. And you will have great scope to take your career at VEED in whichever way you are most excited! What you will do Reports: Detailed reports that provide in-depth analysis of specific business problems, trends, and opportunities. Development and deployment of predictive models that forecast future trends, customer behaviours, and business outcomes. Custom machine learning algorithms tailored to address specific business challenges, such as recommendation systems, fraud detection, or customer segmentation. Efficient data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralised data repository. Cleaned and preprocessed datasets that are ready for analysis, ensuring high data quality and reliability. EDA reports that uncover hidden patterns, correlations, and insights within the data, often presented with visualisations. Analyses that quantify the impact of data science initiatives on business metrics, demonstrating ROI and value. Design and analysis of A/B tests to validate the effectiveness of changes in products, features, or marketing strategies. Comprehensive documentation of methodologies, models, code, and data workflows to ensure reproducibility and knowledge sharing. Clear and compelling presentations that communicate complex data insights and findings to non-technical stakeholders. Automated reporting systems that provide regular updates on key metrics and insights without manual intervention. Optimization models and solutions that improve business processes, resource allocation, and operational efficiency. Training sessions and workshops to upskill team members and promote data literacy within the organisation. Detailed analyses that provide deep insights into customer behaviours, preferences, and lifetime value. Systems to detect and alert on anomalies in business operations, helping to mitigate risks and address issues promptly. Promote a data-driven culture and fluency across the company here at VEED! About You Previous experience in a data science role, delivering insightful and actionable solutions. You probably have 3-5 years of experience, but this isn't set in stone! Strong statistical background / education in a quantitative discipline. We use BigQuery, Fivetran, Amplitude, Metabase, hex and dbt amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if not these ones) is a must-have Being a Python guru is a must-have. We'd be really excited if you knew SQL and a bit of devops too. A good understanding and experience running and interpreting A/B testing Thorough knowledge of data models and algorithms - you'll own the process of determining the impact of experiments on our KPIs A track record of success - either demonstrated through promotions at work or through other activities! Possess strategic thinking skills to identify market trends, competitive landscapes, and opportunities for product innovation Highly detail-oriented with a passion for problem-solving - and a bias for taking action Strong communication, interpersonal and presentation skills (both written and verbal) What we offer Monthly subsidy programme: Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply to what you value most - whether that be to offset the cost of a co-working space, office furniture, childcare, gym membership, etc. Unlimited paid holidays: We value that you get more time with your family and friends. Home office set-up: We have an IT Equipment program to make sure your home office is adequately setup with IT equipment including laptops, monitors, headsets/earbuds, keyboards and more! Mental health benefit : We've partnered with Spill to provide all our employees with confidential mental health support.
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. At Tesco Technology, we have an outstanding opportunity for an experienced Machine Learning Senior Data Scientist to join our team where you will be working on our Online programmes (Search, Personalisation & Recommendations). You will take a lead role in helping to redesign our customers' engagement on our groceries website. By applying sophisticated technologies like semantic search and transformer models, you will play a pivotal role in improving the search functionality for millions of customers across multiple countries. This position allows someone to quickly make a meaningful impact and contribute to the seamless operation of our supply chain, transport, and delivery operations. About the Team You will join a world-class team of data science professionals who are passionate about solving sophisticated business problems and deploying data products at scale. Our team works across various areas of our business, personalising our customers' experience across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life balance, team days, and cultivates a relaxed yet engaging culture. This role can be based out of either our London (Farringdon) office or Welwyn Garden City office depending on your home location, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home. You will be responsible for As a Senior Data Scientist, you will influence our personalisation and search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. You will drive innovation and take ownership of projects. You will be responsible for: Applying, modifying, and designing machine learning algorithms and models for information retrieval and re-ranking. Advising on the systems architecture, Machine Learning components, and associated technologies. Using data to train and fine-tune models. Developing efficient and high-quality code in Software Engineering. Collaborating closely with Search Engineers, ML Engineers, and Data Scientists. Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues. You will need To excel in this role, we are seeking high-reaching individuals with a strong blend of Machine Learning and Software Engineering skills. The following requirements are important: Previously worked as a Data Scientist or Senior Data Scientist with a strong Machine Learning background. Experience working on Semantic Search projects, personalisation or recommendation projects would be an excellent addition. Strong coding skills, preferably in Python and a solid grasp of effective methods in Engineering, including version control, development driven by testing, and Continuous Integration. Extensive knowledge and hands-on expertise with Deep Learning approaches, including modern language models based on transformer architecture. PhD in a relevant field such as Mathematics, Engineering or Computer Science. Join our Technology team and be part of a world-class team that is crafting the future of retail technology! Apply now to seize this ambitious opportunity. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 20% of base salary. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 6 weeks fully paid paternity leave. Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate.
03/02/2025
Full time
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. At Tesco Technology, we have an outstanding opportunity for an experienced Machine Learning Senior Data Scientist to join our team where you will be working on our Online programmes (Search, Personalisation & Recommendations). You will take a lead role in helping to redesign our customers' engagement on our groceries website. By applying sophisticated technologies like semantic search and transformer models, you will play a pivotal role in improving the search functionality for millions of customers across multiple countries. This position allows someone to quickly make a meaningful impact and contribute to the seamless operation of our supply chain, transport, and delivery operations. About the Team You will join a world-class team of data science professionals who are passionate about solving sophisticated business problems and deploying data products at scale. Our team works across various areas of our business, personalising our customers' experience across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life balance, team days, and cultivates a relaxed yet engaging culture. This role can be based out of either our London (Farringdon) office or Welwyn Garden City office depending on your home location, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home. You will be responsible for As a Senior Data Scientist, you will influence our personalisation and search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. You will drive innovation and take ownership of projects. You will be responsible for: Applying, modifying, and designing machine learning algorithms and models for information retrieval and re-ranking. Advising on the systems architecture, Machine Learning components, and associated technologies. Using data to train and fine-tune models. Developing efficient and high-quality code in Software Engineering. Collaborating closely with Search Engineers, ML Engineers, and Data Scientists. Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues. You will need To excel in this role, we are seeking high-reaching individuals with a strong blend of Machine Learning and Software Engineering skills. The following requirements are important: Previously worked as a Data Scientist or Senior Data Scientist with a strong Machine Learning background. Experience working on Semantic Search projects, personalisation or recommendation projects would be an excellent addition. Strong coding skills, preferably in Python and a solid grasp of effective methods in Engineering, including version control, development driven by testing, and Continuous Integration. Extensive knowledge and hands-on expertise with Deep Learning approaches, including modern language models based on transformer architecture. PhD in a relevant field such as Mathematics, Engineering or Computer Science. Join our Technology team and be part of a world-class team that is crafting the future of retail technology! Apply now to seize this ambitious opportunity. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 20% of base salary. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 6 weeks fully paid paternity leave. Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate.
At AlphaSights, we search through more than 500 million professionals working in the world today to find the small handful of experts qualified to answer our clients' needs. They use these insights to drive amazing progress within their organisations. Our mission is to provide access to dispersed, hidden, and underutilised knowledge. We've made terrific progress working in this new space, but we've only just scratched the surface on how we can apply technology to this problem. We believe that expertise can be transformative, and this view extends to the people we bring into our engineering organisation. You'll be a key member of one of our multidisciplinary innovation pods, leveraging your unique experience and expertise to make creative contributions to both our product and technical platform. What will I be doing? As a Data Engineer you will: Design, develop, deploy and support data infrastructure, pipelines and architectures. Take ownership of reporting APIs, ensuring they are designed, developed, and maintained to provide accurate and timely insights for stakeholders. Take ownership of the DataOps. Monitor dataflows and underlying systems, promoting the necessary changes to ensure scalable, high-performance solutions and assure data quality and availability. Have a high degree of autonomy and ownership on projects, while the wider team is being built, towards working within a highly collaborative and supportive team of Data Engineers, Data Scientists and Software and Platform Engineers. Work directly with stakeholders and teams to fully understand the business problems and translate it to a data-driven solution. Work across the company to not only ingest and unlock value in data, but also help guide the data generation process itself. We are a data-centric team. Grow our team by bringing your unique expertise to one of our global technical guilds, and mentoring engineers in your pod. Benefit from AlphaSights' platform, giving you access to world-class experts to help inform your technical solution. What skills do I need? 5+ years of hands-on data engineering development. You can demonstrate the significant impact that your work has had. Expert in Python and SQL. Experience with SQL/NoSQL databases. Experienced with AWS data services. Proficiency in DataOps methodologies and tools with experience in implementing CI/CD pipelines and managing containerized applications. Proficiency in workflow orchestration tools such as Apache Airflow. Experience designing, building and maintaining Data Warehouses. Experience working in a collaborative environment with other functional experts (e.g. other engineering teams, product, design, data science, domain experts). Knowledge of ETL frameworks and best practices. Bonus: Knowledge of Big Data processing/analytical frameworks (i.e. Spark, Trino and Hive). Bonus: Knowledge of messaging queue systems and data streaming tools and frameworks. Bonus: Experience with Terraform. Self-motivated, able to self-improve, learn new and complex technologies. A laser focus on delivering value to your users. Benefits & other nice things Time to learn, and flex your creative muscles in an unconstrained environment. Generous learning budget to spend as you want (e.g. books, conferences, courses). Remote, in-office and hybrid working options available. Please speak to the team to learn more about our vision for the future of work at AlphaSights. Regular team events. Best in class Health Insurance. Social responsibility Knowledge for Good. iMentor. AlphaSights is an equal opportunity employer.
03/02/2025
Full time
At AlphaSights, we search through more than 500 million professionals working in the world today to find the small handful of experts qualified to answer our clients' needs. They use these insights to drive amazing progress within their organisations. Our mission is to provide access to dispersed, hidden, and underutilised knowledge. We've made terrific progress working in this new space, but we've only just scratched the surface on how we can apply technology to this problem. We believe that expertise can be transformative, and this view extends to the people we bring into our engineering organisation. You'll be a key member of one of our multidisciplinary innovation pods, leveraging your unique experience and expertise to make creative contributions to both our product and technical platform. What will I be doing? As a Data Engineer you will: Design, develop, deploy and support data infrastructure, pipelines and architectures. Take ownership of reporting APIs, ensuring they are designed, developed, and maintained to provide accurate and timely insights for stakeholders. Take ownership of the DataOps. Monitor dataflows and underlying systems, promoting the necessary changes to ensure scalable, high-performance solutions and assure data quality and availability. Have a high degree of autonomy and ownership on projects, while the wider team is being built, towards working within a highly collaborative and supportive team of Data Engineers, Data Scientists and Software and Platform Engineers. Work directly with stakeholders and teams to fully understand the business problems and translate it to a data-driven solution. Work across the company to not only ingest and unlock value in data, but also help guide the data generation process itself. We are a data-centric team. Grow our team by bringing your unique expertise to one of our global technical guilds, and mentoring engineers in your pod. Benefit from AlphaSights' platform, giving you access to world-class experts to help inform your technical solution. What skills do I need? 5+ years of hands-on data engineering development. You can demonstrate the significant impact that your work has had. Expert in Python and SQL. Experience with SQL/NoSQL databases. Experienced with AWS data services. Proficiency in DataOps methodologies and tools with experience in implementing CI/CD pipelines and managing containerized applications. Proficiency in workflow orchestration tools such as Apache Airflow. Experience designing, building and maintaining Data Warehouses. Experience working in a collaborative environment with other functional experts (e.g. other engineering teams, product, design, data science, domain experts). Knowledge of ETL frameworks and best practices. Bonus: Knowledge of Big Data processing/analytical frameworks (i.e. Spark, Trino and Hive). Bonus: Knowledge of messaging queue systems and data streaming tools and frameworks. Bonus: Experience with Terraform. Self-motivated, able to self-improve, learn new and complex technologies. A laser focus on delivering value to your users. Benefits & other nice things Time to learn, and flex your creative muscles in an unconstrained environment. Generous learning budget to spend as you want (e.g. books, conferences, courses). Remote, in-office and hybrid working options available. Please speak to the team to learn more about our vision for the future of work at AlphaSights. Regular team events. Best in class Health Insurance. Social responsibility Knowledge for Good. iMentor. AlphaSights is an equal opportunity employer.
About us Founded in 2018, Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine. Our production-grade generative AI platform for research insights and knowledge automation enables thousands of scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents and other data sources in minutes. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our Blog - Causaly . We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. What we are looking for We are looking for a Senior Fullstack Engineer to work on our API and business services. You will be responsible for designing and building scalable, reliable, and maintainable web applications. You will collaborate with our product and research teams to build and ship new features, contributing to all aspects of the development lifecycle, from requirements gathering to deployment and monitoring. Minimum Qualifications Bachelor's degree in Computer Science, Mathematics related technical field, or equivalent practical experience 4+ years work experience with back-end applications Solid understanding of Javascript Familiarity with Node.js Experience with TypeScript Good knowledge of web architecture (URIs, HTTP, Caching, etc) Proficiency in Git version control Familiarity with UNIX terminal Excellent knowledge of English language (verbal and written) Solid understanding of relational databases Preferred Qualifications Experience working with Knowledge Graphs and graph databases, such as Neo4J Experience working with Full-Text search databases, such as ElasticSearch Good understanding of GraphQL Experience working with Docker Experience working with a functional programming language Experience working with AWS or Google Cloud Technology Stack Node.js Typescript Git ElasticSearch Neo4J RxJS React Webpack Benefits Competitive compensation package Private medical insurance (underwritten on a medical health disregarded basis) Life insurance (4 x salary) Individual training/development budget through Learnerbly Individual wellbeing budget through Juno 25 days holiday plus public holidays and 1 day birthday leave per year Hybrid working (home + office) Potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product Diversity and Inclusion Be yourself at Causaly Difference is valued. Everyone belongs. Diversity. Equity. Inclusion. They are more than words at Causaly. It's how we work together. It's how we build teams. It's how we grow leaders. It's what we nurture and celebrate. It's what helps us innovate. It's what helps us connect with the customers and communities we serve. We are on a mission to accelerate scientific breakthroughs for ALL humankind and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
03/02/2025
Full time
About us Founded in 2018, Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine. Our production-grade generative AI platform for research insights and knowledge automation enables thousands of scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents and other data sources in minutes. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our Blog - Causaly . We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. What we are looking for We are looking for a Senior Fullstack Engineer to work on our API and business services. You will be responsible for designing and building scalable, reliable, and maintainable web applications. You will collaborate with our product and research teams to build and ship new features, contributing to all aspects of the development lifecycle, from requirements gathering to deployment and monitoring. Minimum Qualifications Bachelor's degree in Computer Science, Mathematics related technical field, or equivalent practical experience 4+ years work experience with back-end applications Solid understanding of Javascript Familiarity with Node.js Experience with TypeScript Good knowledge of web architecture (URIs, HTTP, Caching, etc) Proficiency in Git version control Familiarity with UNIX terminal Excellent knowledge of English language (verbal and written) Solid understanding of relational databases Preferred Qualifications Experience working with Knowledge Graphs and graph databases, such as Neo4J Experience working with Full-Text search databases, such as ElasticSearch Good understanding of GraphQL Experience working with Docker Experience working with a functional programming language Experience working with AWS or Google Cloud Technology Stack Node.js Typescript Git ElasticSearch Neo4J RxJS React Webpack Benefits Competitive compensation package Private medical insurance (underwritten on a medical health disregarded basis) Life insurance (4 x salary) Individual training/development budget through Learnerbly Individual wellbeing budget through Juno 25 days holiday plus public holidays and 1 day birthday leave per year Hybrid working (home + office) Potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product Diversity and Inclusion Be yourself at Causaly Difference is valued. Everyone belongs. Diversity. Equity. Inclusion. They are more than words at Causaly. It's how we work together. It's how we build teams. It's how we grow leaders. It's what we nurture and celebrate. It's what helps us innovate. It's what helps us connect with the customers and communities we serve. We are on a mission to accelerate scientific breakthroughs for ALL humankind and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the Team Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. This position sits with our growing Traveler Voice and Content team. This position focuses on the development of Generative AI-powered Travel Discovery and Shopping experiences. The ideal candidate for this position is a true deep learning expert with strong knowledge and background in both recommender systems as well as Generative AI. Innovation and developing cutting-edge technology as well as implementing industry-leading solutions are key responsibilities of this role. The machine learning models and algorithms you develop will improve the experiences of millions of travelers and travel partners each year. What You'll Do: Conduct research and development in the following areas: Large Language Models (LLMs), Generative Retrieval, Sequential Recommender models, Mixture of Expert models, AI Agents and Multi-modal foundational models. Develop Deep Learning AI models with superior performance to power Expedia's Travel platform. Conduct analysis of the model performance using data collected from the field. Optimize existing models for improved accuracy and better performance. Produce novel insights with machine learning to advise company strategy. Communicate sophisticated concepts and the results of the analyses in a clear and effective manner. Who You Are: You have a Master's Degree or Ph.D. in Computer Science, Statistics, Math, Engineering or equivalent experience. You have experience in Generative AI and/or Recommender Systems, Deep Learning, Data/Machine Learning Science. You possess expert knowledge of Python programming language. You have a strong knowledge and expertise in PyTorch and/or TensorFlow. You have proven knowledge of processing and analyzing large scale data volumes, structured and unstructured data and near real-time throughput. Accommodation Requests: If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Company: Expedia Group Level of Experience: Senior (5+ years of experience) Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
03/02/2025
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the Team Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. This position sits with our growing Traveler Voice and Content team. This position focuses on the development of Generative AI-powered Travel Discovery and Shopping experiences. The ideal candidate for this position is a true deep learning expert with strong knowledge and background in both recommender systems as well as Generative AI. Innovation and developing cutting-edge technology as well as implementing industry-leading solutions are key responsibilities of this role. The machine learning models and algorithms you develop will improve the experiences of millions of travelers and travel partners each year. What You'll Do: Conduct research and development in the following areas: Large Language Models (LLMs), Generative Retrieval, Sequential Recommender models, Mixture of Expert models, AI Agents and Multi-modal foundational models. Develop Deep Learning AI models with superior performance to power Expedia's Travel platform. Conduct analysis of the model performance using data collected from the field. Optimize existing models for improved accuracy and better performance. Produce novel insights with machine learning to advise company strategy. Communicate sophisticated concepts and the results of the analyses in a clear and effective manner. Who You Are: You have a Master's Degree or Ph.D. in Computer Science, Statistics, Math, Engineering or equivalent experience. You have experience in Generative AI and/or Recommender Systems, Deep Learning, Data/Machine Learning Science. You possess expert knowledge of Python programming language. You have a strong knowledge and expertise in PyTorch and/or TensorFlow. You have proven knowledge of processing and analyzing large scale data volumes, structured and unstructured data and near real-time throughput. Accommodation Requests: If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Company: Expedia Group Level of Experience: Senior (5+ years of experience) Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Centre for Net Zero (CNZ) is a not-for-profit, impact-driven energy research institute, founded by the Octopus Energy Group. Operating autonomously, our goal is to accelerate the journey to a fully sustainable, global energy system. While technology is transforming the energy sector, both modelling and policymaking are typically based on data from the past. By contrast, CNZ can access unprecedented insight into future human behaviours by leveraging Octopus Energy's global customer base. We design and run research and field trials around the world to generate and democratise data about the future energy system. We are seeking an Economist/Data Scientist to join our Trials and Analysis team at the Centre for Net Zero (CNZ) for an 18-month fixed-term contract. CNZ operates a hybrid working arrangement, where most colleagues come to the office 2-3 times per week. The Trials and Analysis team leads the design and delivery of field trials and quasi-experimental analyses, in collaboration with a range of delivery partners - including companies within the Octopus Energy Group, such as Octopus Energy Limited, the largest electricity supplier in the UK, Octopus Electric Vehicles, Octopus Electroverse, and Octopus Energy Group companies supplying energy to consumers in France, Spain, Italy, Japan, Texas, and other markets; as well as external partners such as the National Energy System Operator and OVO Energy. The main responsibilities of this role include the design and analysis of various randomised control trials (RCTs) and quasi-experimental analyses related to low carbon technology adoption, automation, energy flexibility, and the intersection of these topics. In turn, our vision is that this research shapes policy for the better. What you'll do Trial design: Designing field trials and drafting pre-analysis plans, often in close collaboration with delivery partners within and outside Octopus Energy Group - this requires a pragmatic approach given the commercial sensitivity of the data we work with and the interventions we evaluate. Implementation: Working closely with a project manager on our team to help the delivery partner(s) deliver the trial in a way that maintains fidelity to the pre-analysis plan and enables rigorous analysis once complete. Data analysis: Carrying out data analyses of our field trials as well as conducting quasi-experimental analyses, structuring these analyses to turn them into high-quality reporting. Reporting: Contributing to and leading the write-up of these analyses into academic papers and accessible, policy-facing materials. At CNZ, this phase of a project is especially collaborative, involving one or more rounds of feedback from other members of CNZ. Partner engagement: Liaising with partners, managing and coordinating implementation across partners, and communicating updates to key partners and external stakeholders. In summary, we are looking for someone who has the intellectual capacity to perform and report high-quality analyses for diverse audiences. CNZ prioritises collaboration and distributed decision-making with technical and non-technical staff across the organisation at all stages of research and reporting. You will work closely with a range of members of CNZ - other researchers in CNZ's Trials and Analysis team, as well as the Director of the team and our Chief Economist; project managers who liaise with partners and assist you in ensuring the fidelity of implementation to the pre-analysis plan; CNZ's External Affairs team, to package our analyses into high-quality reporting and relevant recommendations; and CNZ's leadership team, to ensure our research delivers as much impact as possible. What you'll need Experience designing and analysing randomised controlled trials. Experience managing multiple simultaneous projects, with an ability to prioritise and adapt to changing circumstances. Experience handling and analysing large amounts of data, using clear, maintainable code, ideally in R or Python. Experience communicating coherently and handling multiple stakeholders. Experience delivering research collaboratively as part of a larger team. Experience setting up and analysing quasi-experimental designs (such as staggered difference-in-differences and regression discontinuity designs). It would be great if you also have Experience working in energy is great, but not critical - we're looking for curiosity and an eagerness to learn more about the energy industry. Experience writing accessible, policy-facing summaries of research. Experience in empirical industrial organisation or public finance. Experience working directly with policymakers as well as academics. Facility using SQL to wrangle and process data. Sounds good, what's next? We recommend to apply soon as you can, as applications will close on January 1st 2025. Once you've submitted your application, our Talent team will review and provide feedback-along with details about the next steps, if you're successful. We plan to make an offer in January 2025, with a flexible start date to suit your schedule. Here's what to expect, if you're successful: An initial call with our Talent team to discuss your experience, motivations & the role within CNZ. Task & interview: You'll complete a task, followed by an online interview with the CNZ team to go over your findings. Final interview: Either on-site or virtual, depending on your location and availability. Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters, it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! Octopus Energy is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership . Visit our UK perks hub - Octopus Employee Benefits .
03/02/2025
Full time
Centre for Net Zero (CNZ) is a not-for-profit, impact-driven energy research institute, founded by the Octopus Energy Group. Operating autonomously, our goal is to accelerate the journey to a fully sustainable, global energy system. While technology is transforming the energy sector, both modelling and policymaking are typically based on data from the past. By contrast, CNZ can access unprecedented insight into future human behaviours by leveraging Octopus Energy's global customer base. We design and run research and field trials around the world to generate and democratise data about the future energy system. We are seeking an Economist/Data Scientist to join our Trials and Analysis team at the Centre for Net Zero (CNZ) for an 18-month fixed-term contract. CNZ operates a hybrid working arrangement, where most colleagues come to the office 2-3 times per week. The Trials and Analysis team leads the design and delivery of field trials and quasi-experimental analyses, in collaboration with a range of delivery partners - including companies within the Octopus Energy Group, such as Octopus Energy Limited, the largest electricity supplier in the UK, Octopus Electric Vehicles, Octopus Electroverse, and Octopus Energy Group companies supplying energy to consumers in France, Spain, Italy, Japan, Texas, and other markets; as well as external partners such as the National Energy System Operator and OVO Energy. The main responsibilities of this role include the design and analysis of various randomised control trials (RCTs) and quasi-experimental analyses related to low carbon technology adoption, automation, energy flexibility, and the intersection of these topics. In turn, our vision is that this research shapes policy for the better. What you'll do Trial design: Designing field trials and drafting pre-analysis plans, often in close collaboration with delivery partners within and outside Octopus Energy Group - this requires a pragmatic approach given the commercial sensitivity of the data we work with and the interventions we evaluate. Implementation: Working closely with a project manager on our team to help the delivery partner(s) deliver the trial in a way that maintains fidelity to the pre-analysis plan and enables rigorous analysis once complete. Data analysis: Carrying out data analyses of our field trials as well as conducting quasi-experimental analyses, structuring these analyses to turn them into high-quality reporting. Reporting: Contributing to and leading the write-up of these analyses into academic papers and accessible, policy-facing materials. At CNZ, this phase of a project is especially collaborative, involving one or more rounds of feedback from other members of CNZ. Partner engagement: Liaising with partners, managing and coordinating implementation across partners, and communicating updates to key partners and external stakeholders. In summary, we are looking for someone who has the intellectual capacity to perform and report high-quality analyses for diverse audiences. CNZ prioritises collaboration and distributed decision-making with technical and non-technical staff across the organisation at all stages of research and reporting. You will work closely with a range of members of CNZ - other researchers in CNZ's Trials and Analysis team, as well as the Director of the team and our Chief Economist; project managers who liaise with partners and assist you in ensuring the fidelity of implementation to the pre-analysis plan; CNZ's External Affairs team, to package our analyses into high-quality reporting and relevant recommendations; and CNZ's leadership team, to ensure our research delivers as much impact as possible. What you'll need Experience designing and analysing randomised controlled trials. Experience managing multiple simultaneous projects, with an ability to prioritise and adapt to changing circumstances. Experience handling and analysing large amounts of data, using clear, maintainable code, ideally in R or Python. Experience communicating coherently and handling multiple stakeholders. Experience delivering research collaboratively as part of a larger team. Experience setting up and analysing quasi-experimental designs (such as staggered difference-in-differences and regression discontinuity designs). It would be great if you also have Experience working in energy is great, but not critical - we're looking for curiosity and an eagerness to learn more about the energy industry. Experience writing accessible, policy-facing summaries of research. Experience in empirical industrial organisation or public finance. Experience working directly with policymakers as well as academics. Facility using SQL to wrangle and process data. Sounds good, what's next? We recommend to apply soon as you can, as applications will close on January 1st 2025. Once you've submitted your application, our Talent team will review and provide feedback-along with details about the next steps, if you're successful. We plan to make an offer in January 2025, with a flexible start date to suit your schedule. Here's what to expect, if you're successful: An initial call with our Talent team to discuss your experience, motivations & the role within CNZ. Task & interview: You'll complete a task, followed by an online interview with the CNZ team to go over your findings. Final interview: Either on-site or virtual, depending on your location and availability. Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters, it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! Octopus Energy is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership . Visit our UK perks hub - Octopus Employee Benefits .
Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax
03/02/2025
Full time
Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax
Senior Data Scientist - Loyalty Salary: £80k - £90k Location: London, Hybrid Data Idols are working with one of the top global retail companies to expand its data capabilities by hiring a Senior Data Scientist within its loyalty scheme department. The Opportunity You will be working on various projects across loyalty, including customer segmentation, customer retention, customer profiling and customer marketing to help them leverage their data to increase customer sign-up. You will be helping to create and build various data science models using numerous technologies. Coach and support junior members of the team and help contribute to their personal development. What's in it for you? Up to £90k Bonus scheme Skills and Experience Experience in using modern technologies such as Python, Pyspark, Databricks. Experience in using advanced SQL. Experience with Cloud computing, preferably Azure. Experience in working on loyalty scheme projects. If you would like to be considered for this exciting role, please submit your CV for initial screening.
03/02/2025
Full time
Senior Data Scientist - Loyalty Salary: £80k - £90k Location: London, Hybrid Data Idols are working with one of the top global retail companies to expand its data capabilities by hiring a Senior Data Scientist within its loyalty scheme department. The Opportunity You will be working on various projects across loyalty, including customer segmentation, customer retention, customer profiling and customer marketing to help them leverage their data to increase customer sign-up. You will be helping to create and build various data science models using numerous technologies. Coach and support junior members of the team and help contribute to their personal development. What's in it for you? Up to £90k Bonus scheme Skills and Experience Experience in using modern technologies such as Python, Pyspark, Databricks. Experience in using advanced SQL. Experience with Cloud computing, preferably Azure. Experience in working on loyalty scheme projects. If you would like to be considered for this exciting role, please submit your CV for initial screening.
Contract Type: Regular Schedule: 35 Job ID: R86904 Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below: LexisNexis Risk . About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders; you will be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
02/02/2025
Full time
Contract Type: Regular Schedule: 35 Job ID: R86904 Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below: LexisNexis Risk . About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders; you will be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000 / year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe. Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge & Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call . You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences. You thrive in autonomous work environments with a positive and proactive approach. You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development and deployment of algorithmic trading strategies Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You'll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares! We value our team's wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events. Other benefits include: Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) 1 month a year work from anywhere in the world policy Private medical cover with Bupa from day one with the option to add family members Nest Pension (8% combined contributions) on qualifying earnings Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment £2,000 annual learning & development budget to spend on whatever best supports your growth To reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now , not in some distant future. And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types.
02/02/2025
Full time
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000 / year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe. Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge & Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call . You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences. You thrive in autonomous work environments with a positive and proactive approach. You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development and deployment of algorithmic trading strategies Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You'll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares! We value our team's wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events. Other benefits include: Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) 1 month a year work from anywhere in the world policy Private medical cover with Bupa from day one with the option to add family members Nest Pension (8% combined contributions) on qualifying earnings Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment £2,000 annual learning & development budget to spend on whatever best supports your growth To reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now , not in some distant future. And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types.