Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
03/07/2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
Job Description Join JPMorganChase, a global leader in financial services, as we revolutionize our operations with artificial intelligence and machine learning. As a Software Engineer III at JPMorgan Chase within the AIML and Data Platforms (AMDP) team, you will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. Integrate with AWS Cloud Services for compute, storage, databases, and security, as well as the Azure ecosystem. Create solutions or tools to provision and monitor infrastructure for LLM and agentic systems. Utilize operational skills to provide impactful recommendations for product, process, or policy improvements. Collaborate with the Product team to design, build, and deliver capabilities in agile sprints. Work with cross-functional teams, including data scientists, software engineers, and designers. Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on experience with at least one programming language (Python/Java/Rust) Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration. Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Solid understanding of backend performance optimization and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
14/05/2025
Full time
Job Description Join JPMorganChase, a global leader in financial services, as we revolutionize our operations with artificial intelligence and machine learning. As a Software Engineer III at JPMorgan Chase within the AIML and Data Platforms (AMDP) team, you will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. Integrate with AWS Cloud Services for compute, storage, databases, and security, as well as the Azure ecosystem. Create solutions or tools to provision and monitor infrastructure for LLM and agentic systems. Utilize operational skills to provide impactful recommendations for product, process, or policy improvements. Collaborate with the Product team to design, build, and deliver capabilities in agile sprints. Work with cross-functional teams, including data scientists, software engineers, and designers. Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on experience with at least one programming language (Python/Java/Rust) Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration. Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Solid understanding of backend performance optimization and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
We are looking for a junior or medior data science engineer to complement our data science team working with many of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage. You will use various ML / AI / data science libraries and work on a variety of applications. You will get to use various state of the art technologies including Elastic, Kafka, Kubernetes and Luigi. Finally, you will have the opportunity to look behind the scenes of many domains and data. What are your responsibilities? You will typically work together with a more senior member of the team on projects and your day job typically consists of: Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.). Develop computer models and perform predictive and prescriptive analytics for various applications. Build Proof of Concepts in notebooks, integrate these algorithms into the operational flow of the customer, train the users, and provide support. Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, etc.). Tune algorithms and data pipelines for optimal performance. Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data Science, delivering machine learning models to production. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent. Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, etc.). Experience with SQL, Power BI, Git & GitHub. Strong knowledge of Machine Learning Algorithms and respective theory. Ability to work within a team, collaborating effectively with colleagues. Strong stakeholder management skills and the ability to influence. A drive to learn new technologies and techniques. Experience/aptitude towards research and openness to learn new technologies. Experience with Azure, Spark (PySpark), and Kubeflow - desirable. We pay competitive salaries based on experience of the candidates. Along with this, you will be entitled to an award-winning range of benefits including: Access to our company car scheme or car allowance. Free confidential 24/7 GP service. Hundreds of discounts (including retail, childcare + gym). Affordable loans & enhanced pension scheme.
14/05/2025
Full time
We are looking for a junior or medior data science engineer to complement our data science team working with many of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage. You will use various ML / AI / data science libraries and work on a variety of applications. You will get to use various state of the art technologies including Elastic, Kafka, Kubernetes and Luigi. Finally, you will have the opportunity to look behind the scenes of many domains and data. What are your responsibilities? You will typically work together with a more senior member of the team on projects and your day job typically consists of: Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.). Develop computer models and perform predictive and prescriptive analytics for various applications. Build Proof of Concepts in notebooks, integrate these algorithms into the operational flow of the customer, train the users, and provide support. Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, etc.). Tune algorithms and data pipelines for optimal performance. Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data Science, delivering machine learning models to production. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent. Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, etc.). Experience with SQL, Power BI, Git & GitHub. Strong knowledge of Machine Learning Algorithms and respective theory. Ability to work within a team, collaborating effectively with colleagues. Strong stakeholder management skills and the ability to influence. A drive to learn new technologies and techniques. Experience/aptitude towards research and openness to learn new technologies. Experience with Azure, Spark (PySpark), and Kubeflow - desirable. We pay competitive salaries based on experience of the candidates. Along with this, you will be entitled to an award-winning range of benefits including: Access to our company car scheme or car allowance. Free confidential 24/7 GP service. Hundreds of discounts (including retail, childcare + gym). Affordable loans & enhanced pension scheme.
Our Company: QiH is a fast-growing, innovative, and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering capability, spearheading our tech transformation, building best in class products and tackling exciting and complex challenges along the way! Data is at the core of what we do at QiH, but our people are at the heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role Our Technology team is growing! We're looking for a highly skilled and experienced Senior Data Engineer to design and build a robust, scalable, and high-performance real-time data backbone. In this role you will lead the design, development, and implementation of a real-time data backbone. This position focuses on building and maintaining scalable, high-performance data pipelines that support real-time data processing and analytics. You will work closely with various teams to ensure the infrastructure meets the business's growing data needs while leveraging modern technologies for efficient data ingestion, storage, and analysis. Key Responsibilities: Design, develop, and maintain scalable real-time data pipelines and infrastructure. Integrate various data sources and ensure seamless real-time data flow across the organisation. Build efficient, fault-tolerant, and highly available data ingestion processes. Monitor and improve data pipeline performance and scalability for low-latency and high-throughput. Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to ensure data infrastructure aligns with business objectives. About You: Hands-on experience in data engineering with a proven track record of building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team. Comfortable in a fast-paced environment. Have excellent written and verbal English skills. Last but not least, you'll have no ego! What You'll Get: Competitive Basic Salary Quarterly Bonuses Hybrid working Private Health Care (Bupa) Market Leading Training Programme Recognition & Reward Scheme Annual Company Conference (previous destinations Bologna, Dubrovnik, Belgrade and Thessaloniki) Regular Happy Hour / Team Lunches Free Coffee, Drinks & Snacks What's the next step? Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we're all about at QiH and want to join a team where you can make an impact, please apply or contact us at .
14/05/2025
Full time
Our Company: QiH is a fast-growing, innovative, and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering capability, spearheading our tech transformation, building best in class products and tackling exciting and complex challenges along the way! Data is at the core of what we do at QiH, but our people are at the heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role Our Technology team is growing! We're looking for a highly skilled and experienced Senior Data Engineer to design and build a robust, scalable, and high-performance real-time data backbone. In this role you will lead the design, development, and implementation of a real-time data backbone. This position focuses on building and maintaining scalable, high-performance data pipelines that support real-time data processing and analytics. You will work closely with various teams to ensure the infrastructure meets the business's growing data needs while leveraging modern technologies for efficient data ingestion, storage, and analysis. Key Responsibilities: Design, develop, and maintain scalable real-time data pipelines and infrastructure. Integrate various data sources and ensure seamless real-time data flow across the organisation. Build efficient, fault-tolerant, and highly available data ingestion processes. Monitor and improve data pipeline performance and scalability for low-latency and high-throughput. Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to ensure data infrastructure aligns with business objectives. About You: Hands-on experience in data engineering with a proven track record of building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team. Comfortable in a fast-paced environment. Have excellent written and verbal English skills. Last but not least, you'll have no ego! What You'll Get: Competitive Basic Salary Quarterly Bonuses Hybrid working Private Health Care (Bupa) Market Leading Training Programme Recognition & Reward Scheme Annual Company Conference (previous destinations Bologna, Dubrovnik, Belgrade and Thessaloniki) Regular Happy Hour / Team Lunches Free Coffee, Drinks & Snacks What's the next step? Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we're all about at QiH and want to join a team where you can make an impact, please apply or contact us at .
The Platform mission creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify. Location London Job type Permanent What You'll Do Work in a fast-paced environment to build an analytic tool for our developers. Collaborate with other engineers, data scientists, designers, user researchers and product managers to craft the best possible user experience on our internal tools and infrastructure. Ensure that our APIs will have smooth integration with the current web clients - the desktop and TV app to name a few. Identify pain points in adoption and integration experience of our team's internal tools and SDKs. Ensure the developer experience is seamless for all developers. Take part in on-call rotation to help support the product area. Who You Are You have 5+ years of experience as a software engineer, comfortable around backend, frontend and infrastructure. You are passionate about building a good developer experience by creating robust APIs on tracking user behaviour data. You have a quality-mindset and are interested in all parts of software development: coding, testing, deployment and monitoring. You care about the user experience and know how to build user-friendly web applications. Experience with any of the following areas: GCP, Kubernetes, GRPC, protobuf, large scale data pipelines, would be a bonus! Where You'll Be This role is based in London (UK). We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Learn about life at Spotify You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service with a community of more than 500 million users.
14/05/2025
Full time
The Platform mission creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify. Location London Job type Permanent What You'll Do Work in a fast-paced environment to build an analytic tool for our developers. Collaborate with other engineers, data scientists, designers, user researchers and product managers to craft the best possible user experience on our internal tools and infrastructure. Ensure that our APIs will have smooth integration with the current web clients - the desktop and TV app to name a few. Identify pain points in adoption and integration experience of our team's internal tools and SDKs. Ensure the developer experience is seamless for all developers. Take part in on-call rotation to help support the product area. Who You Are You have 5+ years of experience as a software engineer, comfortable around backend, frontend and infrastructure. You are passionate about building a good developer experience by creating robust APIs on tracking user behaviour data. You have a quality-mindset and are interested in all parts of software development: coding, testing, deployment and monitoring. You care about the user experience and know how to build user-friendly web applications. Experience with any of the following areas: GCP, Kubernetes, GRPC, protobuf, large scale data pipelines, would be a bonus! Where You'll Be This role is based in London (UK). We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Learn about life at Spotify You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service with a community of more than 500 million users.
Junior Data Scientist London SaaS Data Platform Avanti Recruitment is working with a growing software house who make a SaaS based Data platform for customers to help them Enterprise businesses transform their data into actionable insights. Working with household names in Finance, Retail, Travel, Telco, and Healthcare, they turn Enterprise data into competitive advantage. About the role: Build and refine Data Science/ AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate with AI Engineers and Product Teams on scalable solutions Help increase business value through AI implementation, particularly in the private equity space About the company: You will be joining a team of 5 and they are looking to expand with multiple new hires Their software is deployed with clients in the UK, Germany, France, and Ireland What they're looking for: 1-2 years experience in Data Science(perfect for second-jobbers) First-class STEM degree from a prestigious university Strong Python skills (Pandas, NumPy, Scikit-Learn) Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs). SQL knowledge and database experience (SQL assessment is part of the interview process) Problem-solving mindset and good communication skills Experience optimizing code for large-scale, high-volume datasets Why join them? Work on Data Science and AI challenges that actually matter Fast-track your career with mentorship from senior experts Gain valuable experience across multiple industries and cloud platforms (Azure, AWS, GCP, Databricks) Competitive salary with genuine development opportunities Currently serving clients in four countries with two live products and two cutting-edge AI solutions in development. This is your chance to apply machine learning at scale while building solutions that shape the future of data-driven decision-making. Target Salary: £45,000 (considering applications in the range of £40,000 - £50,000) Location: Central London hybrid working Duration: Permanent N.B. They don t sponsor visas and won t consider those on short term visas. APPLY NOW FOR IMMEDIATE CONSIDERATION.
13/05/2025
Full time
Junior Data Scientist London SaaS Data Platform Avanti Recruitment is working with a growing software house who make a SaaS based Data platform for customers to help them Enterprise businesses transform their data into actionable insights. Working with household names in Finance, Retail, Travel, Telco, and Healthcare, they turn Enterprise data into competitive advantage. About the role: Build and refine Data Science/ AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate with AI Engineers and Product Teams on scalable solutions Help increase business value through AI implementation, particularly in the private equity space About the company: You will be joining a team of 5 and they are looking to expand with multiple new hires Their software is deployed with clients in the UK, Germany, France, and Ireland What they're looking for: 1-2 years experience in Data Science(perfect for second-jobbers) First-class STEM degree from a prestigious university Strong Python skills (Pandas, NumPy, Scikit-Learn) Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs). SQL knowledge and database experience (SQL assessment is part of the interview process) Problem-solving mindset and good communication skills Experience optimizing code for large-scale, high-volume datasets Why join them? Work on Data Science and AI challenges that actually matter Fast-track your career with mentorship from senior experts Gain valuable experience across multiple industries and cloud platforms (Azure, AWS, GCP, Databricks) Competitive salary with genuine development opportunities Currently serving clients in four countries with two live products and two cutting-edge AI solutions in development. This is your chance to apply machine learning at scale while building solutions that shape the future of data-driven decision-making. Target Salary: £45,000 (considering applications in the range of £40,000 - £50,000) Location: Central London hybrid working Duration: Permanent N.B. They don t sponsor visas and won t consider those on short term visas. APPLY NOW FOR IMMEDIATE CONSIDERATION.
Job Title: Computer Scientist- Market Pricing Contract Type: (Full-Time, Part-Time, Job-Share, Flexible options available) Salary Range: Up to £52,800 DOE Location: Bournemouth Computer Scientist - Market Pricing: Ageas have an exciting opportunity for a Computer Scientist to join the Market Pricing Team. Ageas is in the process of delivering wholesale improvement to its pricing sophistication, performance management capability and technical excellence, in order to successfully compete in the home insurance market and as such you will be at the forefront in delivering this strategy. You will support the monitoring of performance and contribute to the profitable development of Ageas' Household portfolio, through control of pricing. The Computer Scientist will provide detailed analysis of data using sophisticated actuarial and statistical techniques that inform pricing actions to increase volume, income and profit. The resulting pricing actions will have a direct and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention and achieve target loss ratios. Responsibilities: Develop and coach Pricing Analysts. Develop, validate, review, and approve predictive machine learning models, exploring new techniques to improve model predictiveness. Deliver up-to-date and accurate datasets for modelling, pricing, and monitoring, while exploring new data sets to enhance models. Develop and maintain pricing models and support their deployment. Perform price optimisation and improve existing processes using innovative techniques; prepare recommendations for senior stakeholders. Deploy and review rates in the live rating engine. Maintain and apply models of customer and market behaviour, incorporating machine learning into behavioural models. Combine MI, modelling results, and company targets to develop a balanced view of current and future pricing performance. Maintain records to coordinate pricing decisions and implementation across teams and decision-making bodies. Execute, develop, and manage projects across all stages of the pricing control cycle. Inform and influence senior management, heads of department, and peers across the Pricing and Underwriting department. Deputise for senior colleagues when required. Competencies: Degree level or equivalent in a numerical discipline. 3+ years' experience in insurance pricing or a related analytical background. Proficient in using programming languages (e.g., SAS) to manipulate data. Experience with predictive modelling techniques such as Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines, and Neural Nets. Skilled in programming languages (e.g., R, Matlab, Python, or Octave). Knowledge and/or experience in Price Optimisation. Proven ability to use analytics to solve complex business problems. Experience in influencing colleagues at all levels, including senior management and directors. Ability to convey advanced statistical concepts to a non-statistical audience. Self-motivated with the drive, energy, and ability to work on your own initiative. Performance Measures: Delivery of high quality pricing projects from start to end with minimal management input. Proficiency in data, modelling, pricing and reporting tasks. Speedy delivery and accuracy of data, models, pricing rates and reports. Ensure work is reliable and free of errors. Ensure model accuracy and robustness meet the business need for stability and sustainability. Creativity and innovation: Quantity and quality of new developments- develop new analytical solutions using industry best practice and taking account of critical business requirements. Teamwork: Build strong working relationships with colleagues across the business. Here are some of the benefits you can enjoy within the Computer Scientist - Market Pricing role: At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve Top Employer status in the UK. Flexible Working: Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health: Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Yoga, Mindfulness. Supporting your Wealth: Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work: Well-being activities, yoga, mindfulness sessions, Sports and Social Club events and more. Benefits for Them: Partner Life Assurance and Critical Illness cover. Get some Tech: Deals on various gadgets including Wearables, Tablets and Laptops. Supporting you back to work: Return to work programme after maternity leave. About Ageas: We're one of the largest car and home insurers in the UK. Our people help Ageas to be a thriving, creative and innovative place to work, which is echoed in the service we provide to over four million customers. As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , and a Disability Confident Employer (which means interviews are guaranteed for applicants with a disability who meet the minimum role criteria). For more information please see Ageas Everyone. Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. To find out more about Ageas, see About Us. Want to be part of a Winning Team? Come and join Ageas.
13/05/2025
Full time
Job Title: Computer Scientist- Market Pricing Contract Type: (Full-Time, Part-Time, Job-Share, Flexible options available) Salary Range: Up to £52,800 DOE Location: Bournemouth Computer Scientist - Market Pricing: Ageas have an exciting opportunity for a Computer Scientist to join the Market Pricing Team. Ageas is in the process of delivering wholesale improvement to its pricing sophistication, performance management capability and technical excellence, in order to successfully compete in the home insurance market and as such you will be at the forefront in delivering this strategy. You will support the monitoring of performance and contribute to the profitable development of Ageas' Household portfolio, through control of pricing. The Computer Scientist will provide detailed analysis of data using sophisticated actuarial and statistical techniques that inform pricing actions to increase volume, income and profit. The resulting pricing actions will have a direct and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention and achieve target loss ratios. Responsibilities: Develop and coach Pricing Analysts. Develop, validate, review, and approve predictive machine learning models, exploring new techniques to improve model predictiveness. Deliver up-to-date and accurate datasets for modelling, pricing, and monitoring, while exploring new data sets to enhance models. Develop and maintain pricing models and support their deployment. Perform price optimisation and improve existing processes using innovative techniques; prepare recommendations for senior stakeholders. Deploy and review rates in the live rating engine. Maintain and apply models of customer and market behaviour, incorporating machine learning into behavioural models. Combine MI, modelling results, and company targets to develop a balanced view of current and future pricing performance. Maintain records to coordinate pricing decisions and implementation across teams and decision-making bodies. Execute, develop, and manage projects across all stages of the pricing control cycle. Inform and influence senior management, heads of department, and peers across the Pricing and Underwriting department. Deputise for senior colleagues when required. Competencies: Degree level or equivalent in a numerical discipline. 3+ years' experience in insurance pricing or a related analytical background. Proficient in using programming languages (e.g., SAS) to manipulate data. Experience with predictive modelling techniques such as Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines, and Neural Nets. Skilled in programming languages (e.g., R, Matlab, Python, or Octave). Knowledge and/or experience in Price Optimisation. Proven ability to use analytics to solve complex business problems. Experience in influencing colleagues at all levels, including senior management and directors. Ability to convey advanced statistical concepts to a non-statistical audience. Self-motivated with the drive, energy, and ability to work on your own initiative. Performance Measures: Delivery of high quality pricing projects from start to end with minimal management input. Proficiency in data, modelling, pricing and reporting tasks. Speedy delivery and accuracy of data, models, pricing rates and reports. Ensure work is reliable and free of errors. Ensure model accuracy and robustness meet the business need for stability and sustainability. Creativity and innovation: Quantity and quality of new developments- develop new analytical solutions using industry best practice and taking account of critical business requirements. Teamwork: Build strong working relationships with colleagues across the business. Here are some of the benefits you can enjoy within the Computer Scientist - Market Pricing role: At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve Top Employer status in the UK. Flexible Working: Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health: Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Yoga, Mindfulness. Supporting your Wealth: Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work: Well-being activities, yoga, mindfulness sessions, Sports and Social Club events and more. Benefits for Them: Partner Life Assurance and Critical Illness cover. Get some Tech: Deals on various gadgets including Wearables, Tablets and Laptops. Supporting you back to work: Return to work programme after maternity leave. About Ageas: We're one of the largest car and home insurers in the UK. Our people help Ageas to be a thriving, creative and innovative place to work, which is echoed in the service we provide to over four million customers. As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , and a Disability Confident Employer (which means interviews are guaranteed for applicants with a disability who meet the minimum role criteria). For more information please see Ageas Everyone. Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. To find out more about Ageas, see About Us. Want to be part of a Winning Team? Come and join Ageas.
Data Lead Senior Data Engineer/Scientist Judge.me Role: Data Lead Senior Data Engineer/Scientist Location: Remote with hybrid option (2 days in Shoreditch office near Old Street) Salary: £90-115k (includes comprehensive benefits package) Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission to close the Trust Gap-commerce's most expensive problem. In a world where distance and digital interfaces separate buyers and sellers, we're building the definitive trust infrastructure that enables global trade to flourish. We recognize that trust is not binary but a spectrum, and our work continually expands the boundaries of commerce itself. Each improvement we make enables transactions that previously wouldn't have happened, revealing new frontiers where trust can be further enhanced. Our Impact Today We've grown from an idea into the dominant force for trust in e-commerce: Shopify's Review Solution : We've earned over 42k five-star reviews from merchants who rely on us daily Global Scale : More than 500k shops across 140+ countries use our platform Massive Reach : We process over 70 million orders monthly, generating 2 million+ verified buyer reviews Organic Growth : We've achieved 40% year-over-year growth purely through word of mouth-no paid marketing or sales teams needed The Opportunity As our Data Lead, you'll lead the development of our Trust Optimisation Platform-a critical initiative to unlock insights from our vast review dataset to help merchants improve their e-commerce trust metrics. This role will build the data foundation that powers our next generation of merchant-facing products, directly supporting our mission to close the Trust Gap in e-commerce. What Makes This Role Special Massive Data Scale : Work with one of the largest e-commerce review datasets in the world Direct Business Impact : Build systems that directly improve merchant success and customer trust Full Ownership : Lead the technical direction of a strategic platform for the company Growth Potential : Shape the future of how e-commerce trust is measured and optimized Your Mission: Do More With Less We solve problems through first principles thinking before adding people. Growth in headcount is our last resort, not our first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our extensive review and merchant data Cross-Functional Collaboration : Work with product and design teams to translate data insights into user-facing features and new products. Your Approach: Think in Systems and Platforms Your role will be to build extensible systems that provide compounding value over time. You'll: Build the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data quality and reliability Design the data architecture with future expansion in mind Transform our product data into a strategic asset that delivers measurable value to merchants Enable data-driven decisions that help merchants improve their trust metrics and customer satisfaction Build the foundation for future product offerings Work with our product team to continuously refine insights based on merchant feedback What You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably e-commerce or review data) Strong communication skills to collaborate with product and design teams Nice-to-Haves Experience with e-commerce platforms, especially Shopify Background in trust metrics or customer experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt, etc.) Why This Role Matters Judge.me is at an inflection point. As the market leader in Shopify reviews, we've chosen to build our future with Shopify because it's the world's fastest-growing e-commerce platform. We win by leveraging their existing dominance and momentum. You'll join us as we build the next generation of data-driven trust tools. Your work will directly contribute to how e-commerce merchants build trust with their customers globally, while establishing the foundation for our future product innovations. We reward exceptional performance and are building a team that consistently pushes for better results. Success here means finding innovative ways to achieve more with our existing resources. We value time above all else-it's our scarcest resource. We budget time more strictly than money, establishing short feedback loops and breaking initiatives into their smallest units of value. Our international team brings diverse perspectives to every challenge. We believe in lifting each other up through active knowledge sharing because our collective strength determines our success. We combine ambitious goals with pragmatic execution, creating sustainable high performance through better processes, not longer hours. Your Package The Essentials 30 days holiday + bank holidays Private health insurance (Vitality) Brand new Macbook, access to equipment as required Financial Wellbeing + Salary Sacrifice Pension via Mintago Flexible Working Hybrid setup: 2 office days (Tues/Thurs), 3 remote Modern Shoreditch office near Old Street No overtime culture Casual dress code Work from Anywhere (4 weeks per year) Team Life Weekly team meals Quarterly events Perks at Work Account Join Us in Building the Future of Trust in Commerce Work on problems that impact millions while growing with a team that values both excellence and balance. Together, we'll close the Trust Gap and unlock new possibilities for global commerce.
13/05/2025
Full time
Data Lead Senior Data Engineer/Scientist Judge.me Role: Data Lead Senior Data Engineer/Scientist Location: Remote with hybrid option (2 days in Shoreditch office near Old Street) Salary: £90-115k (includes comprehensive benefits package) Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission to close the Trust Gap-commerce's most expensive problem. In a world where distance and digital interfaces separate buyers and sellers, we're building the definitive trust infrastructure that enables global trade to flourish. We recognize that trust is not binary but a spectrum, and our work continually expands the boundaries of commerce itself. Each improvement we make enables transactions that previously wouldn't have happened, revealing new frontiers where trust can be further enhanced. Our Impact Today We've grown from an idea into the dominant force for trust in e-commerce: Shopify's Review Solution : We've earned over 42k five-star reviews from merchants who rely on us daily Global Scale : More than 500k shops across 140+ countries use our platform Massive Reach : We process over 70 million orders monthly, generating 2 million+ verified buyer reviews Organic Growth : We've achieved 40% year-over-year growth purely through word of mouth-no paid marketing or sales teams needed The Opportunity As our Data Lead, you'll lead the development of our Trust Optimisation Platform-a critical initiative to unlock insights from our vast review dataset to help merchants improve their e-commerce trust metrics. This role will build the data foundation that powers our next generation of merchant-facing products, directly supporting our mission to close the Trust Gap in e-commerce. What Makes This Role Special Massive Data Scale : Work with one of the largest e-commerce review datasets in the world Direct Business Impact : Build systems that directly improve merchant success and customer trust Full Ownership : Lead the technical direction of a strategic platform for the company Growth Potential : Shape the future of how e-commerce trust is measured and optimized Your Mission: Do More With Less We solve problems through first principles thinking before adding people. Growth in headcount is our last resort, not our first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our extensive review and merchant data Cross-Functional Collaboration : Work with product and design teams to translate data insights into user-facing features and new products. Your Approach: Think in Systems and Platforms Your role will be to build extensible systems that provide compounding value over time. You'll: Build the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data quality and reliability Design the data architecture with future expansion in mind Transform our product data into a strategic asset that delivers measurable value to merchants Enable data-driven decisions that help merchants improve their trust metrics and customer satisfaction Build the foundation for future product offerings Work with our product team to continuously refine insights based on merchant feedback What You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably e-commerce or review data) Strong communication skills to collaborate with product and design teams Nice-to-Haves Experience with e-commerce platforms, especially Shopify Background in trust metrics or customer experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt, etc.) Why This Role Matters Judge.me is at an inflection point. As the market leader in Shopify reviews, we've chosen to build our future with Shopify because it's the world's fastest-growing e-commerce platform. We win by leveraging their existing dominance and momentum. You'll join us as we build the next generation of data-driven trust tools. Your work will directly contribute to how e-commerce merchants build trust with their customers globally, while establishing the foundation for our future product innovations. We reward exceptional performance and are building a team that consistently pushes for better results. Success here means finding innovative ways to achieve more with our existing resources. We value time above all else-it's our scarcest resource. We budget time more strictly than money, establishing short feedback loops and breaking initiatives into their smallest units of value. Our international team brings diverse perspectives to every challenge. We believe in lifting each other up through active knowledge sharing because our collective strength determines our success. We combine ambitious goals with pragmatic execution, creating sustainable high performance through better processes, not longer hours. Your Package The Essentials 30 days holiday + bank holidays Private health insurance (Vitality) Brand new Macbook, access to equipment as required Financial Wellbeing + Salary Sacrifice Pension via Mintago Flexible Working Hybrid setup: 2 office days (Tues/Thurs), 3 remote Modern Shoreditch office near Old Street No overtime culture Casual dress code Work from Anywhere (4 weeks per year) Team Life Weekly team meals Quarterly events Perks at Work Account Join Us in Building the Future of Trust in Commerce Work on problems that impact millions while growing with a team that values both excellence and balance. Together, we'll close the Trust Gap and unlock new possibilities for global commerce.
How you'll be contributing to Accurx as a Senior Data Scientist As a Senior Data Scientist you'll be working within the product community to identify key product improvements and support the product strategy & the roadmap: you'll be solving real world problems and building a product that is going to impact every single person in the UK! You'll use statistical and machine learning techniques to analyse data and develop models to understand key drivers and you'll lead experimentation design to improve the product experience of our users. You'll lead projects to explore and extract valuable information from our data and work closely with the product teams to advise on data collection improvements. You'll help drive the maturity of the Data Science & Analytics sub team by setting the foundation needed to move our analysis capabilities from descriptive & diagnostic to predictive & prescriptive. Your day to day tasks, should you choose to accept this mission Solve problems adaptively and value rigour and simplicity over complicated solutions Make appropriate trade-offs between speed and accuracy as you'll be working in a fast-moving environment Code for scalability, creating re-usable scripts and utilities that brings data science as a discipline to the next level Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML) Code for privacy & security, keeping our users and patients privacy and security in mind all the time and suggesting processes and technologies for anonymisation Work closely with Product leads in designing and validating success metrics as well as helping them to measure progress and align with the business objectives (OKRs setting) Support & mature the company data culture so that decisions are supported and/or driven by data We'd really like to hear from you, if Proven expertise in designing, executing, and analysing complex experiments end-to-end. Hands-on experience with statistical techniques (e.g., regressions, matching) and machine learning models (e.g., Naive Bayes, XGBoost). Strong Python and SQL skills, including writing reusable, standardised code and working in analytical environments like Snowflake. Experience conducting exploratory data analysis, including visualisations and identifying product key drivers. Ability to collaborate with product teams, set success metrics (OKRs), and align insights with business goals. Familiarity with best practices for handling sensitive data, ensuring privacy and anonymity. What we can offer £70,000 - £85,000 salary + the value of £50,750 share options Access to H appl - a flexible benefits provider with a given budget of £600 to spend on perks of your choice. Options include private health insurance, wellness providers and more. We are office first, all accuFolk come to our office in Shoreditch at least 3 days per week, with the option to work remotely 2 days a week. Read more about our policy here . Allocated annual learning & development budget Enhanced parental leave policy Prayer, meditation and breastfeeding room Working abroad policy We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat! And much more . Like the sound of this role and want to know more about the company? Here's more about us We're a fast-growing healthcare technology company which makes it easier for patients and healthcare teams to communicate. Accurx is where conversations happen with and about patients. Our software helps doctors, nurses, pharmacists, administrators and other professionals to seamlessly connect with both patients and each other. Our mission is simple: everything we do is to make patients healthier and healthcare staff happier. Today, Accurx is used in 98% of GP practices nationwide and every day more healthcare professionals are using our software in hospitals, pharmacies, care homes and the community. We're passionate about staying close to our users, which is why everyone at Accurx visits a GP practice at least twice a quarter to understand how a practice runs, the difficulties they face with technologies and how we can help. Head over to our main careers page to find out more about the team and our candidate hub . You can also find out more about us on Medium , LinkedIn and Twitter & Instagram . Our YouTube channel is full of demos of our product, webinars we have held with our users and some clips about life at Accurx. Diversity & Inclusion Accurx is committed to being an inclusive employer.As part of this, we're glad to accommodate candidates who need adjustments throughout the interview process . Pre-employment Screening All successful candidates are asked to complete a Basic DBS check along with other pre-employment checks (referencing & right to work). You can find more on our process here . If you'd like to ask questions before you apply please email .
13/05/2025
Full time
How you'll be contributing to Accurx as a Senior Data Scientist As a Senior Data Scientist you'll be working within the product community to identify key product improvements and support the product strategy & the roadmap: you'll be solving real world problems and building a product that is going to impact every single person in the UK! You'll use statistical and machine learning techniques to analyse data and develop models to understand key drivers and you'll lead experimentation design to improve the product experience of our users. You'll lead projects to explore and extract valuable information from our data and work closely with the product teams to advise on data collection improvements. You'll help drive the maturity of the Data Science & Analytics sub team by setting the foundation needed to move our analysis capabilities from descriptive & diagnostic to predictive & prescriptive. Your day to day tasks, should you choose to accept this mission Solve problems adaptively and value rigour and simplicity over complicated solutions Make appropriate trade-offs between speed and accuracy as you'll be working in a fast-moving environment Code for scalability, creating re-usable scripts and utilities that brings data science as a discipline to the next level Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML) Code for privacy & security, keeping our users and patients privacy and security in mind all the time and suggesting processes and technologies for anonymisation Work closely with Product leads in designing and validating success metrics as well as helping them to measure progress and align with the business objectives (OKRs setting) Support & mature the company data culture so that decisions are supported and/or driven by data We'd really like to hear from you, if Proven expertise in designing, executing, and analysing complex experiments end-to-end. Hands-on experience with statistical techniques (e.g., regressions, matching) and machine learning models (e.g., Naive Bayes, XGBoost). Strong Python and SQL skills, including writing reusable, standardised code and working in analytical environments like Snowflake. Experience conducting exploratory data analysis, including visualisations and identifying product key drivers. Ability to collaborate with product teams, set success metrics (OKRs), and align insights with business goals. Familiarity with best practices for handling sensitive data, ensuring privacy and anonymity. What we can offer £70,000 - £85,000 salary + the value of £50,750 share options Access to H appl - a flexible benefits provider with a given budget of £600 to spend on perks of your choice. Options include private health insurance, wellness providers and more. We are office first, all accuFolk come to our office in Shoreditch at least 3 days per week, with the option to work remotely 2 days a week. Read more about our policy here . Allocated annual learning & development budget Enhanced parental leave policy Prayer, meditation and breastfeeding room Working abroad policy We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat! And much more . Like the sound of this role and want to know more about the company? Here's more about us We're a fast-growing healthcare technology company which makes it easier for patients and healthcare teams to communicate. Accurx is where conversations happen with and about patients. Our software helps doctors, nurses, pharmacists, administrators and other professionals to seamlessly connect with both patients and each other. Our mission is simple: everything we do is to make patients healthier and healthcare staff happier. Today, Accurx is used in 98% of GP practices nationwide and every day more healthcare professionals are using our software in hospitals, pharmacies, care homes and the community. We're passionate about staying close to our users, which is why everyone at Accurx visits a GP practice at least twice a quarter to understand how a practice runs, the difficulties they face with technologies and how we can help. Head over to our main careers page to find out more about the team and our candidate hub . You can also find out more about us on Medium , LinkedIn and Twitter & Instagram . Our YouTube channel is full of demos of our product, webinars we have held with our users and some clips about life at Accurx. Diversity & Inclusion Accurx is committed to being an inclusive employer.As part of this, we're glad to accommodate candidates who need adjustments throughout the interview process . Pre-employment Screening All successful candidates are asked to complete a Basic DBS check along with other pre-employment checks (referencing & right to work). You can find more on our process here . If you'd like to ask questions before you apply please email .
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Science & Analytics at Trainline Data Science & Analytics (DSA) is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded alongside Data Analysts in cross-functional teams which exist across product and marketing. Data Scientists have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal. As a Data Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic direction, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits. Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact - as the data scientist on the team you will be actively driving innovation on the team by contributing to strategy, execution and continuous learning. As a Senior Data Scientist at Trainline, you will As a Senior Data Scientist in our Marketing DSA team, you'll be working in a fast-paced and agile environment, working with large marketing budgets to drive growth at Trainline. Furthering our understanding of return on investment in a privacy first world whilst understanding how we perform in a complex and competitive marketing landscape presents many opportunities to develop and hone new methodology whilst having a big impact on the business. As a Senior Data Scientist, you will be responsible for influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will: Develop deep understanding of our product experiences and opportunities for growth. Actively contribute to roadmap and goals for the product team. Drive regular cross functional team reviews to measure progress toward goals. Discover and articulate new product opportunities helping shape the team's direction. Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful. Define focus through metrics to enable a broad spectrum of learning from experimentation/release cycles. We'd love to hear from you if you have 5+ years commercial experience using data science and analytics to drive business decisions. Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management. Experience of product engagement evaluation and measurement of success. For example, running A/B tests to evaluate product effectiveness or using front-end data to quantify the effectiveness of new features and how it changes user engagement. Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail. Own It - We focus on every customer, partner and journey. Travel Together - We're one team. Do Good - We make a positive impact. We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn , Instagram and Glassdoor !
13/05/2025
Full time
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Science & Analytics at Trainline Data Science & Analytics (DSA) is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded alongside Data Analysts in cross-functional teams which exist across product and marketing. Data Scientists have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal. As a Data Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic direction, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits. Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact - as the data scientist on the team you will be actively driving innovation on the team by contributing to strategy, execution and continuous learning. As a Senior Data Scientist at Trainline, you will As a Senior Data Scientist in our Marketing DSA team, you'll be working in a fast-paced and agile environment, working with large marketing budgets to drive growth at Trainline. Furthering our understanding of return on investment in a privacy first world whilst understanding how we perform in a complex and competitive marketing landscape presents many opportunities to develop and hone new methodology whilst having a big impact on the business. As a Senior Data Scientist, you will be responsible for influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will: Develop deep understanding of our product experiences and opportunities for growth. Actively contribute to roadmap and goals for the product team. Drive regular cross functional team reviews to measure progress toward goals. Discover and articulate new product opportunities helping shape the team's direction. Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful. Define focus through metrics to enable a broad spectrum of learning from experimentation/release cycles. We'd love to hear from you if you have 5+ years commercial experience using data science and analytics to drive business decisions. Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management. Experience of product engagement evaluation and measurement of success. For example, running A/B tests to evaluate product effectiveness or using front-end data to quantify the effectiveness of new features and how it changes user engagement. Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail. Own It - We focus on every customer, partner and journey. Travel Together - We're one team. Do Good - We make a positive impact. We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn , Instagram and Glassdoor !
At Hastings Direct, storing your data securely is very important to us. Please see our Data Protection Statement and Job Application Terms & Conditions here for details on how your information will be stored. Job Requisition ID: Welcome to Hastings Direct - From our Group HR Director Pam Angel We're a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as a company and know that our continued success will rely on the contribution of our talented colleagues. We are seeking a highly skilled Senior Data Scientist to join our Market Models team. You will play a critical role in developing, enhancing, and maintaining market models that drive competitive positioning and profitability. This role requires a deep understanding of statistical modeling, machine learning, and market dynamics to build models that anticipate competitor pricing strategies and inform data-driven decision-making. As a Senior Data Scientist, you will work closely with pricing, underwriting, data engineering, and commercial teams to improve our market pricing capabilities and drive innovation in how we leverage external and internal data. Key Responsibilities Develop and enhance market models to improve competitive positioning. Analyze external market trends and competitor behaviours to build predictive models that inform pricing strategy. Apply advanced statistical and machine learning techniques, including generalized linear models (GLMs), gradient boosting, and deep learning, to extract insights from large, complex datasets. Work with data engineers to ensure the ingestion, transformation, and deployment of market model outputs into real-time pricing systems. Collaborate with pricing teams to translate model outputs into actionable pricing strategies. Monitor model performance and conduct regular validation to ensure accuracy, robustness, and compliance with regulatory requirements. Lead innovation initiatives, including testing new data sources and advanced modelling techniques. Mentor junior data scientists and analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling and machine learning techniques (GLMs, GBMs, neural networks, etc.). Experience in pricing or market modelling, preferably in insurance. Proficiency in Python and SQL for data analysis and model development. Hands-on experience with machine learning frameworks (XGBoost, LightGBM, etc.). Strong understanding of market dynamics, elasticity modeling, and demand forecasting. Experience in deploying models into production and integrating them with business decision-making systems. Ability to communicate complex concepts to non-technical stakeholders effectively. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company, and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training, and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice. Reward Salary - Attractive salary based on experience + car allowance (pay reviews also completed each year). Flexible Working - We champion a flexible and hybrid working approach so please speak to your recruiter to discuss in more detail, including days in the office and at home. Competitive Bonus Scheme - All colleagues are eligible for our annual 4Cs performance bonus, which is usually paid in March. The scheme is based on Hastings' performance against our business goals and your own personal performance. Physical Wellbeing - as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen. Financial Wellbeing - As well as providing you with 4x your salary with our life assurance cover and income protection at no extra cost, pension contribution match up to 10%, we are proud to provide you with an AWARD WINNING package which includes - discounts and cashback at everyday retailers and on our own products, fee-free independent mortgage advice, and free access to financial wellbeing support. Mental Wellbeing programme - At Hastings Direct we understand that mental health cannot be scheduled, that's why we have a range of support to help you keep yourself well. We have the thrive mental health app, our colleague assistance programme available 24/7, our own, in-house mental health first aiders, support groups, and a dedicated team to make sure we are covering your needs. There's more! - 27 days annual leave + bank holidays, with the option to buy or sell one of your contracted weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year, and much more. At Hastings Direct, we're committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
13/05/2025
Full time
At Hastings Direct, storing your data securely is very important to us. Please see our Data Protection Statement and Job Application Terms & Conditions here for details on how your information will be stored. Job Requisition ID: Welcome to Hastings Direct - From our Group HR Director Pam Angel We're a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as a company and know that our continued success will rely on the contribution of our talented colleagues. We are seeking a highly skilled Senior Data Scientist to join our Market Models team. You will play a critical role in developing, enhancing, and maintaining market models that drive competitive positioning and profitability. This role requires a deep understanding of statistical modeling, machine learning, and market dynamics to build models that anticipate competitor pricing strategies and inform data-driven decision-making. As a Senior Data Scientist, you will work closely with pricing, underwriting, data engineering, and commercial teams to improve our market pricing capabilities and drive innovation in how we leverage external and internal data. Key Responsibilities Develop and enhance market models to improve competitive positioning. Analyze external market trends and competitor behaviours to build predictive models that inform pricing strategy. Apply advanced statistical and machine learning techniques, including generalized linear models (GLMs), gradient boosting, and deep learning, to extract insights from large, complex datasets. Work with data engineers to ensure the ingestion, transformation, and deployment of market model outputs into real-time pricing systems. Collaborate with pricing teams to translate model outputs into actionable pricing strategies. Monitor model performance and conduct regular validation to ensure accuracy, robustness, and compliance with regulatory requirements. Lead innovation initiatives, including testing new data sources and advanced modelling techniques. Mentor junior data scientists and analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling and machine learning techniques (GLMs, GBMs, neural networks, etc.). Experience in pricing or market modelling, preferably in insurance. Proficiency in Python and SQL for data analysis and model development. Hands-on experience with machine learning frameworks (XGBoost, LightGBM, etc.). Strong understanding of market dynamics, elasticity modeling, and demand forecasting. Experience in deploying models into production and integrating them with business decision-making systems. Ability to communicate complex concepts to non-technical stakeholders effectively. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company, and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training, and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice. Reward Salary - Attractive salary based on experience + car allowance (pay reviews also completed each year). Flexible Working - We champion a flexible and hybrid working approach so please speak to your recruiter to discuss in more detail, including days in the office and at home. Competitive Bonus Scheme - All colleagues are eligible for our annual 4Cs performance bonus, which is usually paid in March. The scheme is based on Hastings' performance against our business goals and your own personal performance. Physical Wellbeing - as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen. Financial Wellbeing - As well as providing you with 4x your salary with our life assurance cover and income protection at no extra cost, pension contribution match up to 10%, we are proud to provide you with an AWARD WINNING package which includes - discounts and cashback at everyday retailers and on our own products, fee-free independent mortgage advice, and free access to financial wellbeing support. Mental Wellbeing programme - At Hastings Direct we understand that mental health cannot be scheduled, that's why we have a range of support to help you keep yourself well. We have the thrive mental health app, our colleague assistance programme available 24/7, our own, in-house mental health first aiders, support groups, and a dedicated team to make sure we are covering your needs. There's more! - 27 days annual leave + bank holidays, with the option to buy or sell one of your contracted weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year, and much more. At Hastings Direct, we're committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Senior Data Scientist Data Idols are proud to be working with an iconic UK brand to assist them in building out their data team as they undertake a data-driven journey that will transform the business. The Opportunity This opportunity for a Senior Data Scientist will focus on setting technical standards and leadership. You will work on a variety of projects focused on delivering high quality data science to predict, measure and interpret business trends and commercial impact. Within this role, they are looking for someone who is able to coach and support junior members of the team and help contribute to their development. Skills and Experience SQL Python Experience with Cloud computing, preferably Azure Experience working in a production environment deploying and maintaining models Strong stakeholder management Ability to mentor other members of the team What's in it for you? £85K - £95K Bonus Please send your CV for more information.
13/05/2025
Full time
Senior Data Scientist Data Idols are proud to be working with an iconic UK brand to assist them in building out their data team as they undertake a data-driven journey that will transform the business. The Opportunity This opportunity for a Senior Data Scientist will focus on setting technical standards and leadership. You will work on a variety of projects focused on delivering high quality data science to predict, measure and interpret business trends and commercial impact. Within this role, they are looking for someone who is able to coach and support junior members of the team and help contribute to their development. Skills and Experience SQL Python Experience with Cloud computing, preferably Azure Experience working in a production environment deploying and maintaining models Strong stakeholder management Ability to mentor other members of the team What's in it for you? £85K - £95K Bonus Please send your CV for more information.
Senior Applied Scientist, Computer Vision, Camera and Sensors Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices. A day in the life An Applied Scientist with the Camera and Sensors team you will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. About the team You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principle scientists, applied scientists and software engineers across multiple global teams in the devices group. BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Posted: March 19, 2025 (Updated 22 minutes ago)
13/05/2025
Full time
Senior Applied Scientist, Computer Vision, Camera and Sensors Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices. A day in the life An Applied Scientist with the Camera and Sensors team you will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. About the team You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principle scientists, applied scientists and software engineers across multiple global teams in the devices group. BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Posted: March 19, 2025 (Updated 22 minutes ago)
Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS' multi-tenant infrastructure. Key Job Responsibilities As a Senior Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserve our customers' trust in us. You'll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. This position will have visibility at senior levels of government agencies, commercial institutions, and AWS including interaction with CISOs, CTOs, their staffs, and AWS senior leadership. In addition to a strong understanding of security technologies, tool development, offensive and defensive security tactics, and ideally some experience with distributed systems, you'll need a number of other qualities to be successful in this role. The team has a mix of experience levels, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. About the Team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Minimum Requirements Extensive experience performing security investigations, penetration testing, and/or incident response in the context of large organisations. In-depth understanding of security threats, hands-on experience detecting and defending from cyber attacks, and experience using big data analytics and orchestration to address security challenges. Ability to develop code with at least one modern language such as Java, Go, TypeScript, Python, Rust and security code review. Demonstrated technical leadership in security (e.g., tech lead, developed security architecture for a product or system, led technical component of security project, etc.). Experience leading and coaching junior security engineers to improve their skills and effectiveness. BS or MS in a STEM related field. Understanding of the Mitre ATT&CK framework and knowledge of host and network telemetry data (e.g., process lists, application logs, NetFlow). Have awareness and understanding of current cyber security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). Strong sense of ownership combined with a collaborative approach to overcoming challenges and influencing organisational change. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
13/05/2025
Full time
Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS' multi-tenant infrastructure. Key Job Responsibilities As a Senior Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserve our customers' trust in us. You'll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. This position will have visibility at senior levels of government agencies, commercial institutions, and AWS including interaction with CISOs, CTOs, their staffs, and AWS senior leadership. In addition to a strong understanding of security technologies, tool development, offensive and defensive security tactics, and ideally some experience with distributed systems, you'll need a number of other qualities to be successful in this role. The team has a mix of experience levels, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. About the Team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Minimum Requirements Extensive experience performing security investigations, penetration testing, and/or incident response in the context of large organisations. In-depth understanding of security threats, hands-on experience detecting and defending from cyber attacks, and experience using big data analytics and orchestration to address security challenges. Ability to develop code with at least one modern language such as Java, Go, TypeScript, Python, Rust and security code review. Demonstrated technical leadership in security (e.g., tech lead, developed security architecture for a product or system, led technical component of security project, etc.). Experience leading and coaching junior security engineers to improve their skills and effectiveness. BS or MS in a STEM related field. Understanding of the Mitre ATT&CK framework and knowledge of host and network telemetry data (e.g., process lists, application logs, NetFlow). Have awareness and understanding of current cyber security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). Strong sense of ownership combined with a collaborative approach to overcoming challenges and influencing organisational change. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Senior Node Developer - Perm £75k - Digital Marketing Analytics A global marketing agency utilising AI's power is looking for a Senior/Full stack Developer to take ownership of building a self-service platform that allows customers to use their econometric marketing tools. As a Senior developer, your focus is on bringing this prototype into production and being responsible for the design, build, and implementation of this platform using the latest technologies. (greenfield and owning build) Working closely with data scientists and economic modellers, you will influence how best to integrate these models to ensure the platform is secure, sleek and robust. This role will not have direct-line/managerial responsibilities, but the plan is to grow the team around this individual over time. Salary: £70,000-£75,000 Location: 1-2x per week in the City of London Requirements: Senior experience building high-load and secure systems from scratch/greenfield Experience with Front End development using Javascript/Typescript (full-stack) Extensive experience working with AWS (especially containers, Docker/Kubernetes) Experience with databases such as MySQL and NO-SQL (MongoDB or Big Query) Preferably prior experience working with analytics and core data libraries in R or Python Must have experience owning or leading a product development team. Desirable background in Marketing Analytics If you're interested in an opportunity that offers autonomy to shape and build an enterprise marketing analytics platform for a well-respected company that is using AI to drastically improve its business. Please apply with an up-to-date CV to get the conversation rolling! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
13/05/2025
Full time
Senior Node Developer - Perm £75k - Digital Marketing Analytics A global marketing agency utilising AI's power is looking for a Senior/Full stack Developer to take ownership of building a self-service platform that allows customers to use their econometric marketing tools. As a Senior developer, your focus is on bringing this prototype into production and being responsible for the design, build, and implementation of this platform using the latest technologies. (greenfield and owning build) Working closely with data scientists and economic modellers, you will influence how best to integrate these models to ensure the platform is secure, sleek and robust. This role will not have direct-line/managerial responsibilities, but the plan is to grow the team around this individual over time. Salary: £70,000-£75,000 Location: 1-2x per week in the City of London Requirements: Senior experience building high-load and secure systems from scratch/greenfield Experience with Front End development using Javascript/Typescript (full-stack) Extensive experience working with AWS (especially containers, Docker/Kubernetes) Experience with databases such as MySQL and NO-SQL (MongoDB or Big Query) Preferably prior experience working with analytics and core data libraries in R or Python Must have experience owning or leading a product development team. Desirable background in Marketing Analytics If you're interested in an opportunity that offers autonomy to shape and build an enterprise marketing analytics platform for a well-respected company that is using AI to drastically improve its business. Please apply with an up-to-date CV to get the conversation rolling! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you're passionate about state-of-the-art tech products, have hands-on experience with Python, SQL, and REST APIs, and bring 2-5 years of customer-facing experience, you'll thrive in this role. Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you'll love this job! What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You possess a solid understanding of REST APIs, including design, integration, and authentication. Additionally, you have strong knowledge of Python and SQL. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish and/or Portuguese What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
10/05/2025
Full time
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you're passionate about state-of-the-art tech products, have hands-on experience with Python, SQL, and REST APIs, and bring 2-5 years of customer-facing experience, you'll thrive in this role. Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you'll love this job! What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You possess a solid understanding of REST APIs, including design, integration, and authentication. Additionally, you have strong knowledge of Python and SQL. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish and/or Portuguese What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about building AI products that solve real customer problems, enjoy working in a fast-paced environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you. What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services) You have a background and experience in applying AI & machine learning to solve real-world problem You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience building & running scalable micro services in the cloud You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
10/05/2025
Full time
About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about building AI products that solve real customer problems, enjoy working in a fast-paced environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you. What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services) You have a background and experience in applying AI & machine learning to solve real-world problem You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience building & running scalable micro services in the cloud You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
Bloomreach is building the world's premier agentic platform for personalization . We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About Clarity Clarity is a virtual shopping assistant leveraging Gen AI and LLMs to enhance online shopping with personalized, real-time guidance. Clarity is embedded in various parts of the user's shopping journey, transforming user interactions and improving product discovery. Position: We are seeking a motivated Backend Software Engineer to join our team and contribute to the development of Clarity. In this role, you'll join a small team of highly motivated and experienced software engineers and data scientists, building a cutting-edge and impactful AI-powered product. You'll be working in one of our Central European offices (Bratislava, Brno, or Prague) or from home on a full-time basis (EU based). The salary starts from €5,000 gross per month for Slovakia. Are you up for the challenge? Responsibilities: Design, implement, and test key features in the Conversation Engine component of Clarity. Contribute to the overall architecture of Clarity, ensuring excellent conversation quality, high availability, strong observability, and system efficiency. Assist with and troubleshoot across all stages of the software lifecycle, including design, deployment, and operations. Collaborate with the Customer Success and Product Management Teams to understand and implement critical customer requirements. Work closely with other members of the Clarity Engineering and Data Science Teams through code and design reviews, and mentor junior team members. Participate in brainstorming sessions and contribute innovative ideas to continuously improve Clarity. Document and maintain project plans, technical designs, and other relevant materials. Qualifications: BS/MS degree in Computer Science or related field and at least 4 years of software engineering experience in the industry. Strong background in algorithms and software architecture skills. Proficiency in TypeScript, Node.js, and Python. Experience with NoSQL databases (e.g. MongoDB, DynamoDB) and in-memory Data Stores (e.g. Redis). Familiarity with asynchronous programming and event-driven architecture. Familiarity with building low latency, high availability, and high throughput systems. Familiarity with Docker, CI/CD pipelines, and GCP. Ability to work collaboratively within a remote team environment. Excellent communication skills, both written and verbal. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! ( Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences!
10/05/2025
Full time
Bloomreach is building the world's premier agentic platform for personalization . We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About Clarity Clarity is a virtual shopping assistant leveraging Gen AI and LLMs to enhance online shopping with personalized, real-time guidance. Clarity is embedded in various parts of the user's shopping journey, transforming user interactions and improving product discovery. Position: We are seeking a motivated Backend Software Engineer to join our team and contribute to the development of Clarity. In this role, you'll join a small team of highly motivated and experienced software engineers and data scientists, building a cutting-edge and impactful AI-powered product. You'll be working in one of our Central European offices (Bratislava, Brno, or Prague) or from home on a full-time basis (EU based). The salary starts from €5,000 gross per month for Slovakia. Are you up for the challenge? Responsibilities: Design, implement, and test key features in the Conversation Engine component of Clarity. Contribute to the overall architecture of Clarity, ensuring excellent conversation quality, high availability, strong observability, and system efficiency. Assist with and troubleshoot across all stages of the software lifecycle, including design, deployment, and operations. Collaborate with the Customer Success and Product Management Teams to understand and implement critical customer requirements. Work closely with other members of the Clarity Engineering and Data Science Teams through code and design reviews, and mentor junior team members. Participate in brainstorming sessions and contribute innovative ideas to continuously improve Clarity. Document and maintain project plans, technical designs, and other relevant materials. Qualifications: BS/MS degree in Computer Science or related field and at least 4 years of software engineering experience in the industry. Strong background in algorithms and software architecture skills. Proficiency in TypeScript, Node.js, and Python. Experience with NoSQL databases (e.g. MongoDB, DynamoDB) and in-memory Data Stores (e.g. Redis). Familiarity with asynchronous programming and event-driven architecture. Familiarity with building low latency, high availability, and high throughput systems. Familiarity with Docker, CI/CD pipelines, and GCP. Ability to work collaboratively within a remote team environment. Excellent communication skills, both written and verbal. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! ( Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences!
Ignite Digital Search Limited
Bristol, Gloucestershire
If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their move to the cloud with Microsoft Azure, Fabric, and Synapse technologies will see you work with cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based analytics. Lead data discovery projects to onboard and analyze new data sources, helping shape our future data landscape. Champion coding best practices, version control, and testing within the data science team. Collaborate with internal teams and external partners, ensuring alignment with business goals. About you. We would love to talk to you if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge of Generative AI and experience using LLMs in data workflows. Strong stakeholder management and communication skills, translating complex findings into actionable insights. Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.). The benefits. Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem. Work with leading-edge cloud and data science technologies, including Azure, Fabric, and Synapse. Competitive salary + 10% discretionary bonus. Exceptional pension benefits with a 27% Civil Service pension scheme. A hybrid working model with flexibility. Collaborate with cross-functional teams and external data partners. Excellent career development opportunities with continuous learning and leadership potential. This is an exceptional opportunity to play a key role in driving AI and cloud-based analytics innovation. If you're passionate about data science, cloud transformation, and predictive modelling, we'd love to hear from you! Apply today and be part of our exciting data journey!
10/05/2025
Full time
If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their move to the cloud with Microsoft Azure, Fabric, and Synapse technologies will see you work with cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based analytics. Lead data discovery projects to onboard and analyze new data sources, helping shape our future data landscape. Champion coding best practices, version control, and testing within the data science team. Collaborate with internal teams and external partners, ensuring alignment with business goals. About you. We would love to talk to you if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge of Generative AI and experience using LLMs in data workflows. Strong stakeholder management and communication skills, translating complex findings into actionable insights. Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.). The benefits. Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem. Work with leading-edge cloud and data science technologies, including Azure, Fabric, and Synapse. Competitive salary + 10% discretionary bonus. Exceptional pension benefits with a 27% Civil Service pension scheme. A hybrid working model with flexibility. Collaborate with cross-functional teams and external data partners. Excellent career development opportunities with continuous learning and leadership potential. This is an exceptional opportunity to play a key role in driving AI and cloud-based analytics innovation. If you're passionate about data science, cloud transformation, and predictive modelling, we'd love to hear from you! Apply today and be part of our exciting data journey!
Senior Data Scientist with a GenAI focus Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through 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. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. About the role You will join our rapidly expanding data practice and will be part of our multi-disciplined teams, building Generative AI-based solutions for clients. You'll work very closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach coupled with critical thinking and hands-on NLP and GenAI (RAG) expertise. You'll be a key member in this team, with significant customer exposure, taking them on the journey from early adoption through to scale. You'll have a solid understanding of the foundations required for successful projects across infrastructure, business, data and AI, and be an anchor of the relationship with our customers. Speaking with empathy and credibility will be key. Skills and Experience required 1+ years of focused LLM / GenAI and RAG project experience, preferably in a leadership role; A data science background. NLP experience is key; Fluent in Python, and able to rapidly and independently prototype and develop code, as well as deliver production-quality; Experience in some of the Azure data services; Familiar with best practices on model tuning, drift monitoring and optimisation; Experienced in consulting and stakeholder management, break down business problems and formulate technical solutions. What you will do Understand client requests and business processes to propose how GenAI may solve business challenges; Chain of thought reasoning to build up LLM based solutions; Resource Augmented Generation (RAG) including optimisation of chunking and metadata; Follow Responsible AI principles; Rapidly develop customer demonstrations to show the art of the possible with GenAI; Contribute to Ascent's Gen AI methodology and accelerators; Be a member of our Data Science and Gen AI communities and play a key role in continuing to evolve Ascent's GenAI capability and collateral. 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.
10/05/2025
Full time
Senior Data Scientist with a GenAI focus Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through 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. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. About the role You will join our rapidly expanding data practice and will be part of our multi-disciplined teams, building Generative AI-based solutions for clients. You'll work very closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach coupled with critical thinking and hands-on NLP and GenAI (RAG) expertise. You'll be a key member in this team, with significant customer exposure, taking them on the journey from early adoption through to scale. You'll have a solid understanding of the foundations required for successful projects across infrastructure, business, data and AI, and be an anchor of the relationship with our customers. Speaking with empathy and credibility will be key. Skills and Experience required 1+ years of focused LLM / GenAI and RAG project experience, preferably in a leadership role; A data science background. NLP experience is key; Fluent in Python, and able to rapidly and independently prototype and develop code, as well as deliver production-quality; Experience in some of the Azure data services; Familiar with best practices on model tuning, drift monitoring and optimisation; Experienced in consulting and stakeholder management, break down business problems and formulate technical solutions. What you will do Understand client requests and business processes to propose how GenAI may solve business challenges; Chain of thought reasoning to build up LLM based solutions; Resource Augmented Generation (RAG) including optimisation of chunking and metadata; Follow Responsible AI principles; Rapidly develop customer demonstrations to show the art of the possible with GenAI; Contribute to Ascent's Gen AI methodology and accelerators; Be a member of our Data Science and Gen AI communities and play a key role in continuing to evolve Ascent's GenAI capability and collateral. 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.
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