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)
Jul 03, 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)
EssenceMediacomX, part of GroupM, is a global data and measurement-driven media agency whose mission is to make advertising more valuable to the world. Our office sits within the legacy Essence building on Oxford Street. We still have all our wonderful essentials looking after our amazing clients! Our clients include many exciting brands such as Google, ITV, Airbnb, BT/EE, NBCUniversal and L'Oréal to name a few. We are looking for a Senior Analytics Executive to join our MFG EMEA team. Reporting into an Analytics Associate Director, you will be given the opportunity to work on one of the world's leading tech brands (Google) and use your skillset to generate meaningful insights, through the application of statistical methods. Working in a dynamic and fast-moving industry you will gain a wealth of knowledge and experience in digital marketing, technology and applied analytics. You will work closely with experienced analysts and marketers to build the skills you will need to drive our client brands forward. We have invested in giving you the tools to make you as successful as possible, including training/development, full access to Google Cloud Platform and a wider global community of analysts and data scientists. Some of the things we'd like you to do You will be responsible for implementing media campaign measurement including Conversion Lift Studies & Matched Market Testing You will deliver actionable insights that inform Google's future ad campaigns and advise on how to improve their effectiveness Collaborate proactively with the wider client team and other teams within Essence Mediacom, to implement measurement & analytics at a high standard Play an important part in collating and reporting incrementality testing results to quantify the efficacy of Google's media campaigns Evaluate the statistical robustness of measurement solutions and iterate on them as needed to optimize performance A bit about yourself. You will likely: Be highly numerate: able to confidently interpret data and apply statistical methods to draw robust conclusions. Hold a degree(s) in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science Have knowledge of applying measurement to media campaigns through Google/Meta/etc, particularly conversion lift studies Have proven professional experience in data science, analytics, or a related field Have well developed problem-solving skills and the ability to think critically and creatively Possess strong communication skills, with the ability to engage both technical and non-technical audiences and stakeholders Be able to follow guidance as part of a cross-functional team Be proficient in presenting data in a visually engaging and insightful manner Nice to haves: Familiarity with SQL & Python, including use of packages such as pandas, numpy, scipy & matplotlib Knowledge of market research methodologies Experience with cloud technologies, such as BigQuery, GCP & AWS Experience working with predictive models and data sources via APIs Speaking any European languages What you can expect from EssenceMediacomX EssenceMediacomX's mission is to make advertising more valuable to the world. We do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. It's important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an EssenceMediacomX employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, or marital status.
Apr 29, 2024
Full time
EssenceMediacomX, part of GroupM, is a global data and measurement-driven media agency whose mission is to make advertising more valuable to the world. Our office sits within the legacy Essence building on Oxford Street. We still have all our wonderful essentials looking after our amazing clients! Our clients include many exciting brands such as Google, ITV, Airbnb, BT/EE, NBCUniversal and L'Oréal to name a few. We are looking for a Senior Analytics Executive to join our MFG EMEA team. Reporting into an Analytics Associate Director, you will be given the opportunity to work on one of the world's leading tech brands (Google) and use your skillset to generate meaningful insights, through the application of statistical methods. Working in a dynamic and fast-moving industry you will gain a wealth of knowledge and experience in digital marketing, technology and applied analytics. You will work closely with experienced analysts and marketers to build the skills you will need to drive our client brands forward. We have invested in giving you the tools to make you as successful as possible, including training/development, full access to Google Cloud Platform and a wider global community of analysts and data scientists. Some of the things we'd like you to do You will be responsible for implementing media campaign measurement including Conversion Lift Studies & Matched Market Testing You will deliver actionable insights that inform Google's future ad campaigns and advise on how to improve their effectiveness Collaborate proactively with the wider client team and other teams within Essence Mediacom, to implement measurement & analytics at a high standard Play an important part in collating and reporting incrementality testing results to quantify the efficacy of Google's media campaigns Evaluate the statistical robustness of measurement solutions and iterate on them as needed to optimize performance A bit about yourself. You will likely: Be highly numerate: able to confidently interpret data and apply statistical methods to draw robust conclusions. Hold a degree(s) in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science Have knowledge of applying measurement to media campaigns through Google/Meta/etc, particularly conversion lift studies Have proven professional experience in data science, analytics, or a related field Have well developed problem-solving skills and the ability to think critically and creatively Possess strong communication skills, with the ability to engage both technical and non-technical audiences and stakeholders Be able to follow guidance as part of a cross-functional team Be proficient in presenting data in a visually engaging and insightful manner Nice to haves: Familiarity with SQL & Python, including use of packages such as pandas, numpy, scipy & matplotlib Knowledge of market research methodologies Experience with cloud technologies, such as BigQuery, GCP & AWS Experience working with predictive models and data sources via APIs Speaking any European languages What you can expect from EssenceMediacomX EssenceMediacomX's mission is to make advertising more valuable to the world. We do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. It's important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an EssenceMediacomX employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, or marital status.
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Apr 29, 2024
Full time
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Join us on an extraordinary journey as we continue our remarkable growth. We're seeking a Lead Data Scientist to provide leadership within our Data department. This pivotal role involves guiding our Data Scientists and enhancing our data science capabilities. Lead Data Scientist Location: Tyne & Wear Office requirements: Hybrid / 2-3 days per week Salary: £85,000 - £100,000 Day to Day of the role: Lead and nurture a team of data scientists, fostering a culture of collaboration and innovation. Oversee the integration of data science projects into business processes to improve decision-making and operational efficiency. Engage with senior stakeholders to understand their needs and deliver impactful data-driven insights. Collaborate with other teams to make data science capabilities accessible across the organisation. Work closely with the data engineering team to ensure data requirements for projects are met. Required Skills & Qualifications: Proven experience in leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of industry standards like CRISP-DM. Experience in iGaming or online betting is a plus but not essential. Benefits: Competitive salary with quarterly bonus. Company merchandise and free meals in the office. Private healthcare and hybrid working options. A culture that supports inclusivity, flexibility, personal development, and mental wellbeing. To apply for the Lead Data Scientist position, please submit your CV and cover letter detailing your relevant experience.
Apr 29, 2024
Full time
Join us on an extraordinary journey as we continue our remarkable growth. We're seeking a Lead Data Scientist to provide leadership within our Data department. This pivotal role involves guiding our Data Scientists and enhancing our data science capabilities. Lead Data Scientist Location: Tyne & Wear Office requirements: Hybrid / 2-3 days per week Salary: £85,000 - £100,000 Day to Day of the role: Lead and nurture a team of data scientists, fostering a culture of collaboration and innovation. Oversee the integration of data science projects into business processes to improve decision-making and operational efficiency. Engage with senior stakeholders to understand their needs and deliver impactful data-driven insights. Collaborate with other teams to make data science capabilities accessible across the organisation. Work closely with the data engineering team to ensure data requirements for projects are met. Required Skills & Qualifications: Proven experience in leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of industry standards like CRISP-DM. Experience in iGaming or online betting is a plus but not essential. Benefits: Competitive salary with quarterly bonus. Company merchandise and free meals in the office. Private healthcare and hybrid working options. A culture that supports inclusivity, flexibility, personal development, and mental wellbeing. To apply for the Lead Data Scientist position, please submit your CV and cover letter detailing your relevant experience.
Applied Data Science Partners (ADSP) is an innovative data science and AI consultancy based in London. An exciting opportunity has arisen for a Senior Software Engineer to join us. If you enjoy seeing your work deployed into 'real-life' applications, this is the perfect role for you. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. We're looking for someone with a personable nature who can unlock significant value for our clients through world-class data engineering. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to meet you. The Role As a Data Engineer your duties will include: • Join our team Engineering Team in a senior role and ensure the successful delivery of projects • Develop, construct, test and maintain architectures (e.g. databases and codebases that process data) • Ensure architectures support business requirements • Discover opportunities for data acquisition, either internally within client organisations or through third-party APIs • Work alongside data scientists to develop and maintain productionised code • Marry systems together through automated scripting, using tools such as Azure Data Factory • Recommend ways to improve data reliability, efficiency and quality • Present findings to clients through written documentation, calls and presentations • Support writing proposals for exciting new opportunities Required Skills • Experience in a similar consultancy environment • 4+ years of experience in a data-centric role • SQL& Python, both to a high level of proficiency • Querying and managing relational databases (SQL Server, Postgres) • Good understanding of cloud deployment (e.g. AWS, Azure) • Linux scripting (e.g. bash) • Version controlling code (e.g. Git) • Willingness to learn new skills and techniques • Excellent communication skills • An eye for detail and a love of puzzle solving
Apr 28, 2024
Full time
Applied Data Science Partners (ADSP) is an innovative data science and AI consultancy based in London. An exciting opportunity has arisen for a Senior Software Engineer to join us. If you enjoy seeing your work deployed into 'real-life' applications, this is the perfect role for you. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. We're looking for someone with a personable nature who can unlock significant value for our clients through world-class data engineering. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to meet you. The Role As a Data Engineer your duties will include: • Join our team Engineering Team in a senior role and ensure the successful delivery of projects • Develop, construct, test and maintain architectures (e.g. databases and codebases that process data) • Ensure architectures support business requirements • Discover opportunities for data acquisition, either internally within client organisations or through third-party APIs • Work alongside data scientists to develop and maintain productionised code • Marry systems together through automated scripting, using tools such as Azure Data Factory • Recommend ways to improve data reliability, efficiency and quality • Present findings to clients through written documentation, calls and presentations • Support writing proposals for exciting new opportunities Required Skills • Experience in a similar consultancy environment • 4+ years of experience in a data-centric role • SQL& Python, both to a high level of proficiency • Querying and managing relational databases (SQL Server, Postgres) • Good understanding of cloud deployment (e.g. AWS, Azure) • Linux scripting (e.g. bash) • Version controlling code (e.g. Git) • Willingness to learn new skills and techniques • Excellent communication skills • An eye for detail and a love of puzzle solving
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. Position Summary The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Senior Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proven experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom - London Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. Position Summary The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Senior Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proven experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom - London The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and more. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with global tuition assistance, access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Diversity, Equity, and Inclusion in every aspect of our business at GBT. You can connect with colleagues through our global Inclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. Wellbeing resources to support mental and emotional health for you and your immediate family. And much more! This role is for Egencia LLC ("Egencia" or the "Company"), a member of the American Express Global Business Travel family of companies. All qualified applicants will receive equal consideration for employment without regard to age, gender identity (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, race, color, religion, creed, national origin, disability, veteran status, citizenship or marital status. It is our policy to maintain an equal-opportunity environment free from intimidation, harassment or bias for our candidates, colleagues, clients and suppliers. We are committed to providing reasonable accommodation to individuals with disabilities. Please, let your recruiter know if you need an accommodation at any point during the hiring process. For more details, please consult GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Apr 28, 2024
Full time
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. Position Summary The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Senior Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proven experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom - London Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. Position Summary The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Senior Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proven experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom - London The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and more. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with global tuition assistance, access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Diversity, Equity, and Inclusion in every aspect of our business at GBT. You can connect with colleagues through our global Inclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. Wellbeing resources to support mental and emotional health for you and your immediate family. And much more! This role is for Egencia LLC ("Egencia" or the "Company"), a member of the American Express Global Business Travel family of companies. All qualified applicants will receive equal consideration for employment without regard to age, gender identity (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, race, color, religion, creed, national origin, disability, veteran status, citizenship or marital status. It is our policy to maintain an equal-opportunity environment free from intimidation, harassment or bias for our candidates, colleagues, clients and suppliers. We are committed to providing reasonable accommodation to individuals with disabilities. Please, let your recruiter know if you need an accommodation at any point during the hiring process. For more details, please consult GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Azure AI Solutions Architect Level: Senior Department: Azure Location: Virtual Office in UK (US Based with clients in UK) 100% REMOTE Type: FTE or Contract Pay Range: Based on experience level GENERAL DESCRIPTION & RESPONSIBILITIES The Azure AI Solution Architect will lead the creation of high-value data driven solutions leveraging Cyclotron's proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. This position will work collaboratively across all Cyclotron's sales, service delivery and project management organizations in service to Cyclotron's clients. The ideal candidate will have extensive Microsoft/Azure data services and Azure OpenAI technology experience. The role requires a combination of technical expertise, leadership skills and industry knowledge. Candidates will be expected to contribute to all stages of the data lifecycle. Technical Proficiency: Strong background in artificial intelligence, machine learning, and data science. Proficiency in Microsoft AI technologies, including Azure Machine Learning, Azure Cognitive Services, and related tools. Leadership Skills: Proven experience in leading and managing teams, especially in the AI consulting domain. Strategic thinking and the ability to align AI initiatives with overall business goals. Effective communication and collaboration skills to work with cross-functional teams and clients. Project Management: Experience in successfully managing AI projects from conception to delivery. Familiarity with project management methodologies, such as Agile or Scrum. Client Relationship Management: Ability to understand client needs and deliver AI solutions that meet their requirements. Strong interpersonal skills to build and maintain client relationships. Problem-Solving and Analytical Skills: Critical thinking and problem-solving skills to address complex AI challenges. Analytical mindset for data-driven decision-making. Innovation and Adaptability: A forward-thinking mindset with a focus on innovation in AI technologies. Ability to adapt to evolving industry trends and incorporate new technologies into consulting services. Educational Background: A relevant educational background, such as a degree in computer science, data science, or a related field. Certifications in Microsoft AI technologies can be advantageous. Team Collaboration: Ability to foster a collaborative and inclusive team culture. Experience in mentoring and developing team members. Ethical Considerations: Awareness of ethical considerations in AI and a commitment to responsible AI practices. Results-Oriented: A track record of delivering successful AI projects on time and within budget. Metrics-driven approach to measure the impact of AI solutions. PLACEMENT CRITERIA & REQUIREMENTS Background in statistics and data science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL SKILLS REQUIRED General Architecture In-depth knowledge of Azure OpenAI Being able to interpret business requirements into functional and then technical requirements Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics Experience solutioning Azure Cloud based enterprise data architectures Knowledge of deep learning frameworks with a focus on Microsoft's Cognitive Toolkit (CNTK), TensorFlow and PyTorch Experience in implementing and optimizing deep learning models Experience developing and implementing Retrieval Augmented Generation (RAG) Information Architecture Data Modeling principles for relational and dimensional data structures Data Lake design principles, Data Virtualization Strong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics Experience with following languages: Python, R, Scala, SQL, M Experience in multidimensional and / or tabular models (SSAS) Microsoft Azure Stack RDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) ETL/ELT, (ADF, SSIS) Data governance - (Purview, Unity Catalogue) Databricks Delta Lake Storage Azure Dev OPS DESIRED SKILLS Advanced Analytics Data Technologies Databricks, Delta Lake, Synapse Spark SQL, Pyspark Azure Data Explorer Logic Apps, Key Vault Semi structured data processing Integration Runtime Coding experience: Python, C#, Java for Data analysis purpose One of the following certifications: Azure AI Engineer Associate Azure Fundamentals AI-900 Azure AI Fundamentals Azure Data Scientist Associate Azure Machine Learning Specialty Information Architecture Data Stewardship, Ownership and Quality Management principles Data Governance, Data Catalog, Enterprise Information Management NON-TECHNICAL SKILLS Business Engagement Demonstrated Experience Providing thought leadership and business strategy acumen around advanced analytics and business information lifecycle Leading customers through a value-based decision-making cycle Developing functional, non-functional and technical requirements based on business imperatives Presenting to customer executive teams with authority and purpose CYCLOTRON EXPECTATIONS These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes. Communication and Interpersonal Skills - verbal and written, professional, concise, and effective. Collaboration and Teamwork - share knowledge, build alliances, show respect. Personal Ownership and Responsibility - take initiative, solve problems, be fully present. Customer Focus - Proactive management or Client expectations and needs. Time Management and Productivity - Set Goals, Commit, Record, Communicate Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
Apr 28, 2024
Full time
Azure AI Solutions Architect Level: Senior Department: Azure Location: Virtual Office in UK (US Based with clients in UK) 100% REMOTE Type: FTE or Contract Pay Range: Based on experience level GENERAL DESCRIPTION & RESPONSIBILITIES The Azure AI Solution Architect will lead the creation of high-value data driven solutions leveraging Cyclotron's proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. This position will work collaboratively across all Cyclotron's sales, service delivery and project management organizations in service to Cyclotron's clients. The ideal candidate will have extensive Microsoft/Azure data services and Azure OpenAI technology experience. The role requires a combination of technical expertise, leadership skills and industry knowledge. Candidates will be expected to contribute to all stages of the data lifecycle. Technical Proficiency: Strong background in artificial intelligence, machine learning, and data science. Proficiency in Microsoft AI technologies, including Azure Machine Learning, Azure Cognitive Services, and related tools. Leadership Skills: Proven experience in leading and managing teams, especially in the AI consulting domain. Strategic thinking and the ability to align AI initiatives with overall business goals. Effective communication and collaboration skills to work with cross-functional teams and clients. Project Management: Experience in successfully managing AI projects from conception to delivery. Familiarity with project management methodologies, such as Agile or Scrum. Client Relationship Management: Ability to understand client needs and deliver AI solutions that meet their requirements. Strong interpersonal skills to build and maintain client relationships. Problem-Solving and Analytical Skills: Critical thinking and problem-solving skills to address complex AI challenges. Analytical mindset for data-driven decision-making. Innovation and Adaptability: A forward-thinking mindset with a focus on innovation in AI technologies. Ability to adapt to evolving industry trends and incorporate new technologies into consulting services. Educational Background: A relevant educational background, such as a degree in computer science, data science, or a related field. Certifications in Microsoft AI technologies can be advantageous. Team Collaboration: Ability to foster a collaborative and inclusive team culture. Experience in mentoring and developing team members. Ethical Considerations: Awareness of ethical considerations in AI and a commitment to responsible AI practices. Results-Oriented: A track record of delivering successful AI projects on time and within budget. Metrics-driven approach to measure the impact of AI solutions. PLACEMENT CRITERIA & REQUIREMENTS Background in statistics and data science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL SKILLS REQUIRED General Architecture In-depth knowledge of Azure OpenAI Being able to interpret business requirements into functional and then technical requirements Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics Experience solutioning Azure Cloud based enterprise data architectures Knowledge of deep learning frameworks with a focus on Microsoft's Cognitive Toolkit (CNTK), TensorFlow and PyTorch Experience in implementing and optimizing deep learning models Experience developing and implementing Retrieval Augmented Generation (RAG) Information Architecture Data Modeling principles for relational and dimensional data structures Data Lake design principles, Data Virtualization Strong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics Experience with following languages: Python, R, Scala, SQL, M Experience in multidimensional and / or tabular models (SSAS) Microsoft Azure Stack RDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) ETL/ELT, (ADF, SSIS) Data governance - (Purview, Unity Catalogue) Databricks Delta Lake Storage Azure Dev OPS DESIRED SKILLS Advanced Analytics Data Technologies Databricks, Delta Lake, Synapse Spark SQL, Pyspark Azure Data Explorer Logic Apps, Key Vault Semi structured data processing Integration Runtime Coding experience: Python, C#, Java for Data analysis purpose One of the following certifications: Azure AI Engineer Associate Azure Fundamentals AI-900 Azure AI Fundamentals Azure Data Scientist Associate Azure Machine Learning Specialty Information Architecture Data Stewardship, Ownership and Quality Management principles Data Governance, Data Catalog, Enterprise Information Management NON-TECHNICAL SKILLS Business Engagement Demonstrated Experience Providing thought leadership and business strategy acumen around advanced analytics and business information lifecycle Leading customers through a value-based decision-making cycle Developing functional, non-functional and technical requirements based on business imperatives Presenting to customer executive teams with authority and purpose CYCLOTRON EXPECTATIONS These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes. Communication and Interpersonal Skills - verbal and written, professional, concise, and effective. Collaboration and Teamwork - share knowledge, build alliances, show respect. Personal Ownership and Responsibility - take initiative, solve problems, be fully present. Customer Focus - Proactive management or Client expectations and needs. Time Management and Productivity - Set Goals, Commit, Record, Communicate Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
A Senior Data Scientist is required for an established online fashion brand, who has seen strong growth in revenues and new markets in last 2 years. Whtat's great about this Senior Data Scientist role ? You get the opportunity to join an established data science team developing some of the most advanced products in the industry The company is rich in untapped customer data offering huge opportunities to create value You will work closely with world class engineers to develop a new data warehouse Budget and bandwidth available to develop new products and services utilise the best commercial software Working directly with the CMO & Chief Data Scientist, and also the founder of the business (an MIT grad!) You will need to be a top class Statistician Python, SQL, R You will likely have done a very numerate degree or master. You may even have a Quantitative PhD You will have experience of working with large customer databases & datasets, and be able to give examples of the business value you have created from them Experience of working in a Pricing capability would be advantageous The Senior Data Science role can offer the right candidate the chance to develop their career and reach a point where they are seen as a top performer & international expert in their field. The Senior Data Scientist will join an established brand that is growing rapidly. Click on the link to apply now for the Senior Data Scientist role.
Apr 28, 2024
Full time
A Senior Data Scientist is required for an established online fashion brand, who has seen strong growth in revenues and new markets in last 2 years. Whtat's great about this Senior Data Scientist role ? You get the opportunity to join an established data science team developing some of the most advanced products in the industry The company is rich in untapped customer data offering huge opportunities to create value You will work closely with world class engineers to develop a new data warehouse Budget and bandwidth available to develop new products and services utilise the best commercial software Working directly with the CMO & Chief Data Scientist, and also the founder of the business (an MIT grad!) You will need to be a top class Statistician Python, SQL, R You will likely have done a very numerate degree or master. You may even have a Quantitative PhD You will have experience of working with large customer databases & datasets, and be able to give examples of the business value you have created from them Experience of working in a Pricing capability would be advantageous The Senior Data Science role can offer the right candidate the chance to develop their career and reach a point where they are seen as a top performer & international expert in their field. The Senior Data Scientist will join an established brand that is growing rapidly. Click on the link to apply now for the Senior Data Scientist role.
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best. We are looking forward to hearing from you! Thank you for your interest in Insurwave. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to Please add all mandatory information with a to send your application.
Apr 28, 2024
Full time
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best. We are looking forward to hearing from you! Thank you for your interest in Insurwave. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to Please add all mandatory information with a to send your application.
We're looking for a Senior Data Scientist - Offers Team Someone who loves to code and get their hands dirty with raw data. It doesn't really matter whether people call you an Engineer, Physicist or Mathematician, what matters to us is that you are a curious and continuous learner with a hunger to achieve the very best in what you do. About us Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to over 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science and a 5-star customer service. Our culture We're expanding fast across our offices in London, Leeds and Frankfurt. With all this growth, we're looking for people who want to learn on the job and lead projects, knowing that your ideas will impact thousands of small businesses. Your mission Our Data Scientists develop cutting edge algorithms using statistical modelling and machine learning techniques. Using Python (Pandas, NumPy, and Scikit-learn) they work in a fast-paced, collaborative and dynamic environment to produce data driven solutions, which will have significant business impact. Our Offers team is responsible for optimising the types of loan offers we make to customers, whilst providing a seamless UX for customers to view and accept their offer. As a Senior Data Scientist joining the Offers team, your primary focus is to figure out the offer terms (e.g. pricing, amounts) we should be making to customers, to maximise offer take-up and value to iwoca. You will look at observational data, identify hypotheses for possible unknown relationships, figure out the commercial relevance of these hypotheses, and design and implement tests to test these. Requirements We look for people who are smart, humble, motivated and who are always looking to improve. Ideally you'll have: Strong numerate background, e.g. in Engineering, Mathematics, Physics, or similar. Must have a background in Probability & Statistics. Programming experience: Python, Java, C/C++ or similar. Experience with Pandas, NumPy, SciPy, R, Matlab, and/or SQL Ability to dive deep into the business context and translate data into actionable insights Self-starter with ability to work autonomously in an unstructured environment. Demonstrable experience using machine learning techniques. Experience with Bayesian analysis preferred. Knowledge of computer-science fundamentals. We expect to pay from £70,000 to £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and regularly remunerate staff for their increasing value to our business. At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. You'll have access to ample opportunities for skill-building, mentorship, and career progression, and can decide your career path, focusing on frontend, branching into full-stack, or developing your skills in project and people leadership. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. Our benefits We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds and Frankfurt. Events and clubs, like bingo, comedy nights, yoga classes, football Two company retreats a year, we've been to France, Italy, Spain and further afield Plenty of drinks and snacks in our offices We offer a wide range of benefits: Medical insurance from Vitality, including discounted gym membership 25 days' holiday, an extra day off for your birthday and the option to buy or sell an additional 5 days of annual leave Instant access to emotional and mental health support with our partner, Spill Share options Generous maternity and paternity leave A nursery tax benefit scheme to help you save money Paid volunteering day to support your chosen charity Extra leave if you want to travel or study One-month fully paid sabbatical after 4 years Cycle-to-work scheme Electric car scheme And to make sure we all keep learning, we offer: An L&D budget for everyone, including a book budget Company-wide talks with internal and external speakers Access to learning platforms like Treehouse if you want to learn to code For more information: iwoca benefits & policies: coda.io/d/iwoca-benefits-policies Interview welcome pack: coda.io/d/iwoca-interview-welcome-pack
Apr 28, 2024
Full time
We're looking for a Senior Data Scientist - Offers Team Someone who loves to code and get their hands dirty with raw data. It doesn't really matter whether people call you an Engineer, Physicist or Mathematician, what matters to us is that you are a curious and continuous learner with a hunger to achieve the very best in what you do. About us Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to over 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science and a 5-star customer service. Our culture We're expanding fast across our offices in London, Leeds and Frankfurt. With all this growth, we're looking for people who want to learn on the job and lead projects, knowing that your ideas will impact thousands of small businesses. Your mission Our Data Scientists develop cutting edge algorithms using statistical modelling and machine learning techniques. Using Python (Pandas, NumPy, and Scikit-learn) they work in a fast-paced, collaborative and dynamic environment to produce data driven solutions, which will have significant business impact. Our Offers team is responsible for optimising the types of loan offers we make to customers, whilst providing a seamless UX for customers to view and accept their offer. As a Senior Data Scientist joining the Offers team, your primary focus is to figure out the offer terms (e.g. pricing, amounts) we should be making to customers, to maximise offer take-up and value to iwoca. You will look at observational data, identify hypotheses for possible unknown relationships, figure out the commercial relevance of these hypotheses, and design and implement tests to test these. Requirements We look for people who are smart, humble, motivated and who are always looking to improve. Ideally you'll have: Strong numerate background, e.g. in Engineering, Mathematics, Physics, or similar. Must have a background in Probability & Statistics. Programming experience: Python, Java, C/C++ or similar. Experience with Pandas, NumPy, SciPy, R, Matlab, and/or SQL Ability to dive deep into the business context and translate data into actionable insights Self-starter with ability to work autonomously in an unstructured environment. Demonstrable experience using machine learning techniques. Experience with Bayesian analysis preferred. Knowledge of computer-science fundamentals. We expect to pay from £70,000 to £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and regularly remunerate staff for their increasing value to our business. At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. You'll have access to ample opportunities for skill-building, mentorship, and career progression, and can decide your career path, focusing on frontend, branching into full-stack, or developing your skills in project and people leadership. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally. Our benefits We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds and Frankfurt. Events and clubs, like bingo, comedy nights, yoga classes, football Two company retreats a year, we've been to France, Italy, Spain and further afield Plenty of drinks and snacks in our offices We offer a wide range of benefits: Medical insurance from Vitality, including discounted gym membership 25 days' holiday, an extra day off for your birthday and the option to buy or sell an additional 5 days of annual leave Instant access to emotional and mental health support with our partner, Spill Share options Generous maternity and paternity leave A nursery tax benefit scheme to help you save money Paid volunteering day to support your chosen charity Extra leave if you want to travel or study One-month fully paid sabbatical after 4 years Cycle-to-work scheme Electric car scheme And to make sure we all keep learning, we offer: An L&D budget for everyone, including a book budget Company-wide talks with internal and external speakers Access to learning platforms like Treehouse if you want to learn to code For more information: iwoca benefits & policies: coda.io/d/iwoca-benefits-policies Interview welcome pack: coda.io/d/iwoca-interview-welcome-pack
We are looking for a Senior Data Scientist to join our growing data team who will make a significant contribution to the software development process, bringing a focus on the informational needs of end users throughout, and acting as a subject matter expert who influences your team and adjacent teams and promotes best practices. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. What you'll be doing You'll be working collaboratively as part of a cross-functional team alongside product managers, designers, software engineers, clinicians and scientists, bringing your expertise to ensure that the team is successful. In this role your key responsibilities will include but not be limited to: Working in cross-functional teams that are creating and launching new data-driven products. Hands-on development of new data features tailored to clinical, research or participant needs by writing tested and auditable code. Providing the data and information required to support conversations with participants and stakeholders, for example regarding prototypes or beta releases. Defining the end-to-end data requirements for feedback. Fitting and validating models, which could be simple at first but become progressively more complex. Supporting the deployment of models, writing logic in python and collaborating with software engineers to develop production-level systems. Specifying the rules and logic required to monitor feedback in production, so that we can ensure it is high quality. To succeed, you will have some of the following skills and experience: Proficient in Python and Spark, with experience working with version control. Experience of developing data-intensive consumer-facing products in a commercial and/or healthcare environment. Experience collaborating with software engineers on front-end and back-end systems. Ability to write modular, efficient, and well-documented code that can be adapted for use in production systems with minimal adjustments. Experience deploying and maintaining predictive models in production-level systems is advantageous. Experience fitting predictive and descriptive models to data using a variety of techniques and assessing model performance. A deep understanding of the different types of bias when that can arise and approaches that can be taken to address these. Experience of the steps that can be taken to make the results of models explainable and transparent. Experience working with a range of large-scale datasets from across health, care or and biomedicine, such as administrative data, questionnaires, electronic medical records or genomics data. Ability to concisely summarise and explain complex concepts in easy-to-understand terms to colleagues and experts. The ability to challenge effectively within cross-functional teams, and a receptiveness to learning from feedback from others. Experience of working within medical device regulations is advantageous. Competitive basic salary. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together.
Apr 27, 2024
Full time
We are looking for a Senior Data Scientist to join our growing data team who will make a significant contribution to the software development process, bringing a focus on the informational needs of end users throughout, and acting as a subject matter expert who influences your team and adjacent teams and promotes best practices. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. What you'll be doing You'll be working collaboratively as part of a cross-functional team alongside product managers, designers, software engineers, clinicians and scientists, bringing your expertise to ensure that the team is successful. In this role your key responsibilities will include but not be limited to: Working in cross-functional teams that are creating and launching new data-driven products. Hands-on development of new data features tailored to clinical, research or participant needs by writing tested and auditable code. Providing the data and information required to support conversations with participants and stakeholders, for example regarding prototypes or beta releases. Defining the end-to-end data requirements for feedback. Fitting and validating models, which could be simple at first but become progressively more complex. Supporting the deployment of models, writing logic in python and collaborating with software engineers to develop production-level systems. Specifying the rules and logic required to monitor feedback in production, so that we can ensure it is high quality. To succeed, you will have some of the following skills and experience: Proficient in Python and Spark, with experience working with version control. Experience of developing data-intensive consumer-facing products in a commercial and/or healthcare environment. Experience collaborating with software engineers on front-end and back-end systems. Ability to write modular, efficient, and well-documented code that can be adapted for use in production systems with minimal adjustments. Experience deploying and maintaining predictive models in production-level systems is advantageous. Experience fitting predictive and descriptive models to data using a variety of techniques and assessing model performance. A deep understanding of the different types of bias when that can arise and approaches that can be taken to address these. Experience of the steps that can be taken to make the results of models explainable and transparent. Experience working with a range of large-scale datasets from across health, care or and biomedicine, such as administrative data, questionnaires, electronic medical records or genomics data. Ability to concisely summarise and explain complex concepts in easy-to-understand terms to colleagues and experts. The ability to challenge effectively within cross-functional teams, and a receptiveness to learning from feedback from others. Experience of working within medical device regulations is advantageous. Competitive basic salary. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together.
Senior Data Scientist/Analyst A European leader in cloud implementation, application development, and managed services in the financial services sector is seeking a Senior Data Scientist/Analyst for their office located in London. Project Details: - 6 Month Contract Inside IR35 - 1 day a week in office Responsibilities: Consume incidents from a bespoke data-related incident capture tool (DRIC) Mine and analyze the incident data captured through the DRIC to: Identify if discrete incidents can be linked to an existing issue Determine if incidents are thematically linked to form a new issue Track discrete incidents against future ones captured through the DRIC Break down issues into assessment factors including Revenue, Risk, Cost, Lost productivity Weight assessment factors appropriately Apply value to each assessment factor for an individual issue Skills: Data mining, modelling, and analysis skills Experience leveraging data to provide insights Business process analysis Problem-solving skills Communication and collaboration skills Experience in institutional financial services Experience in investment banking environment highly desirable This is an exciting opportunity for a Senior Data Scientist/Analyst to work with a European leader in cloud implementation within the financial services sector. If you are interested, please apply with your CV.
Apr 27, 2024
Full time
Senior Data Scientist/Analyst A European leader in cloud implementation, application development, and managed services in the financial services sector is seeking a Senior Data Scientist/Analyst for their office located in London. Project Details: - 6 Month Contract Inside IR35 - 1 day a week in office Responsibilities: Consume incidents from a bespoke data-related incident capture tool (DRIC) Mine and analyze the incident data captured through the DRIC to: Identify if discrete incidents can be linked to an existing issue Determine if incidents are thematically linked to form a new issue Track discrete incidents against future ones captured through the DRIC Break down issues into assessment factors including Revenue, Risk, Cost, Lost productivity Weight assessment factors appropriately Apply value to each assessment factor for an individual issue Skills: Data mining, modelling, and analysis skills Experience leveraging data to provide insights Business process analysis Problem-solving skills Communication and collaboration skills Experience in institutional financial services Experience in investment banking environment highly desirable This is an exciting opportunity for a Senior Data Scientist/Analyst to work with a European leader in cloud implementation within the financial services sector. If you are interested, please apply with your CV.
About Builder.ai We're on a mission to make app building so easy everyone can do it - regardless of their background, tech knowledge or budget. We've already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. And we've only just started! Builder.ai was voted as one of 2023's 'Most Innovative Companies in AI' by Fast Company, and won Europas 2022 'Scaleup of the Year'. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there's never been a more exciting time to become a Builder. Life at Builder.ai At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights. Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder's HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let's-get-stuff-done attitude. In return for your skills and commitment, we offer range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad Why we need this role Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. Our team is responsible for spearheading a wide range of existing use cases, driving Builder's Code Generation effort, taking ownership of our proprietary knowledge graph and leveraging advanced data analysis to derive valuable insights and make data-driven decisions. Key problems include: Utilizing generative AI for code generation and automating software assembly. Harnessing our proprietary knowledge graph to optimize the customer journey. Advancing internal text-to-image generation capabilities tailored to customer-specific content. Employing historical data to forecast software project price and timeline. Optimizing developer workforce allocation to align with customer demand and business metrics. Analyzing dependency structures and identifying bottlenecks in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial mindset and a can-do attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. Strong academic research background with a proven track record of accomplishments. Knowledge of graph databases and proficiency in Cypher query language. Familiarity with vector databases and expertise in Retrieval Augmented Generation (RAG). Hands-on experience in self-hosting and fine-tuning of open source Generative AI models. Ability to propose innovative and tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Attractive quarterly OKR bonus plan or commission scheme dependant on your role Stock options in a $450 million funded Series D scale-up company 24 days annual leave + bank holidays 2 x Builder family days each year Time off between Christmas and New Year Generous Referral Bonus scheme Pension contributions Private Medical Insurance provided by AXA Private Dental Insurance provided by Bupa Access to our Perkbox
Apr 27, 2024
Full time
About Builder.ai We're on a mission to make app building so easy everyone can do it - regardless of their background, tech knowledge or budget. We've already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. And we've only just started! Builder.ai was voted as one of 2023's 'Most Innovative Companies in AI' by Fast Company, and won Europas 2022 'Scaleup of the Year'. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there's never been a more exciting time to become a Builder. Life at Builder.ai At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights. Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder's HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let's-get-stuff-done attitude. In return for your skills and commitment, we offer range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad Why we need this role Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. Our team is responsible for spearheading a wide range of existing use cases, driving Builder's Code Generation effort, taking ownership of our proprietary knowledge graph and leveraging advanced data analysis to derive valuable insights and make data-driven decisions. Key problems include: Utilizing generative AI for code generation and automating software assembly. Harnessing our proprietary knowledge graph to optimize the customer journey. Advancing internal text-to-image generation capabilities tailored to customer-specific content. Employing historical data to forecast software project price and timeline. Optimizing developer workforce allocation to align with customer demand and business metrics. Analyzing dependency structures and identifying bottlenecks in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial mindset and a can-do attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. Strong academic research background with a proven track record of accomplishments. Knowledge of graph databases and proficiency in Cypher query language. Familiarity with vector databases and expertise in Retrieval Augmented Generation (RAG). Hands-on experience in self-hosting and fine-tuning of open source Generative AI models. Ability to propose innovative and tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Attractive quarterly OKR bonus plan or commission scheme dependant on your role Stock options in a $450 million funded Series D scale-up company 24 days annual leave + bank holidays 2 x Builder family days each year Time off between Christmas and New Year Generous Referral Bonus scheme Pension contributions Private Medical Insurance provided by AXA Private Dental Insurance provided by Bupa Access to our Perkbox
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Apr 27, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
A health tech company based in London, with a team of doctors, researchers, developers and data scientists that bring together software engineering, machine learning expertise and medical experience to build clinical algorithms for primary care clinicians. The team is dedicated to creating digital health software to deliver Population Health interventions individualised to patients. This involves continuous scanning the entire health record of a patient to detect signals of deterioration, early onset of new disease and opportunities for preventative interventions working with over 250 primary care practices covering 2.5 million patients. About the role: - Back-End (Mid/Senior) - Works well in a fast moving team and communicates effectively with non-technical team members. - Building back-end components for our applications. - Proficient in developing scalable cloud-based applications with Python and NodeJS, and will ideally have experience working with AWS. Responsibilities: Write well-tested, scalable back-end application code Work with a small, close knit, diverse multi-disciplinary team of developers, data scientists and doctors Requirements Back-end development in Python; experience with NodeJS is a plus Building, testing, and deploying applications on a cloud platform (preferably AWS) Experience with SQL/NoSQL databases and building data ingestion pipelines DevOps/cloud infrastructure management (CloudFormation/Terraform or similar) Experience with server-less applications (AWS Lambda or similar) Benefits Salary range £65,000 - £75,000 Private Pension Hybrid working / Remote Company's office in Paddington Motivated, highly functioning, multi-disciplinary team Opportunity to be involved in ground-breaking technology impacting patient health
Apr 26, 2024
Full time
A health tech company based in London, with a team of doctors, researchers, developers and data scientists that bring together software engineering, machine learning expertise and medical experience to build clinical algorithms for primary care clinicians. The team is dedicated to creating digital health software to deliver Population Health interventions individualised to patients. This involves continuous scanning the entire health record of a patient to detect signals of deterioration, early onset of new disease and opportunities for preventative interventions working with over 250 primary care practices covering 2.5 million patients. About the role: - Back-End (Mid/Senior) - Works well in a fast moving team and communicates effectively with non-technical team members. - Building back-end components for our applications. - Proficient in developing scalable cloud-based applications with Python and NodeJS, and will ideally have experience working with AWS. Responsibilities: Write well-tested, scalable back-end application code Work with a small, close knit, diverse multi-disciplinary team of developers, data scientists and doctors Requirements Back-end development in Python; experience with NodeJS is a plus Building, testing, and deploying applications on a cloud platform (preferably AWS) Experience with SQL/NoSQL databases and building data ingestion pipelines DevOps/cloud infrastructure management (CloudFormation/Terraform or similar) Experience with server-less applications (AWS Lambda or similar) Benefits Salary range £65,000 - £75,000 Private Pension Hybrid working / Remote Company's office in Paddington Motivated, highly functioning, multi-disciplinary team Opportunity to be involved in ground-breaking technology impacting patient health
Senior Data Scientist (Python Real-time Data) London / WFH to £95k Hugely successful, profitable energy trading market data start-up is seeking a talented Senior Data Scientist to join their growing team. This is an excellent opportunity to join a well-funded company that have secured relationships with big name clients; you'll see the results of your work, have your voice heard and make a real difference, quickly progressing to a leadership role if desired. As a Senior Data Scientist you will be key to delivering accurate forward curves to globally influential clients, using proprietary pricing datasets in Futures Markets. You'll collaborate with engineering and product teams to initiate, plan and build new data products, taking a lead on everything related to data science and providing Subject Matter Expertise to the CTO and CEO. You'll endeavour to make improvements and enhance the role of Data Science across the business. Location/ WFH: You'll be able to work from home most of the time, meeting up with colleagues in the London office 1-2 days a week (or more often if desired). About you: You're a Senior Data Scientist with strong Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series data You have experience of collaborating with software engineers to deliver data products to market You have an academic record of achievement, 2.1 or above from a top tier university at BSc, MSC / PhD not required but highly regarded What's in it for you: Competitive salary, to £95k Stock options Hybrid working (1-2 days London office per week) Continuous career development and learning opportunities Influential role as part of a small, close knit team Apply now to find out more about this Senior Data Scientist (Python Real-time Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Apr 26, 2024
Full time
Senior Data Scientist (Python Real-time Data) London / WFH to £95k Hugely successful, profitable energy trading market data start-up is seeking a talented Senior Data Scientist to join their growing team. This is an excellent opportunity to join a well-funded company that have secured relationships with big name clients; you'll see the results of your work, have your voice heard and make a real difference, quickly progressing to a leadership role if desired. As a Senior Data Scientist you will be key to delivering accurate forward curves to globally influential clients, using proprietary pricing datasets in Futures Markets. You'll collaborate with engineering and product teams to initiate, plan and build new data products, taking a lead on everything related to data science and providing Subject Matter Expertise to the CTO and CEO. You'll endeavour to make improvements and enhance the role of Data Science across the business. Location/ WFH: You'll be able to work from home most of the time, meeting up with colleagues in the London office 1-2 days a week (or more often if desired). About you: You're a Senior Data Scientist with strong Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series data You have experience of collaborating with software engineers to deliver data products to market You have an academic record of achievement, 2.1 or above from a top tier university at BSc, MSC / PhD not required but highly regarded What's in it for you: Competitive salary, to £95k Stock options Hybrid working (1-2 days London office per week) Continuous career development and learning opportunities Influential role as part of a small, close knit team Apply now to find out more about this Senior Data Scientist (Python Real-time Data) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office A pioneering reinsurance agency based in Bristol, UK, specializing in the cutting-edge domain of cyber risk. Leveraging advanced analytics and proprietary models, my client aims to redefine the landscape of cyber risk assessment and management. Our commitment to innovation and excellence has positioned us as a leader in the cyber reinsurance market.Position Overview for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office A highly technical and experienced Data Scientist to join their dynamic modelling team. Reporting into our Head of Data Science & Modelling, the successful candidate will play a pivotal role in the development and operationalization of 's proprietary stochastic cyber risk model. This position offers the opportunity to contribute significantly to the advancement of our analytical capabilities and to the broader field of cyber risk modelling.Key Responsibilities Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Model Development and Operation: Be a key member of the team responsible for the design, development, refinement, and execution of 's stochastic cyber risk model, ensuring its accuracy, performance, and scalability.Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing a variety of statistical and machine learning techniques.Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders.Collaboration: Work closely with other team members, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes.Innovation: Stay abreast of the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models.Qualifications for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Senior Data Scientist Experience: At least 5 years of experience working as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics.Education: A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred.Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High level of proficiency in Python & SQL. Experience with big data technologies and tools. Databricks and Pyspark are highly desirable. Experience of working in agile software development processes.Industry Knowledge: Experience in insurance, cyber, or a related domain is ideal. Understanding of the reinsurance industry and its challenges is a plus.Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment.How to apply for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Please apply by sending your CV to the following links below. Mid level Data Scientist and Data Engineer roles also available
Apr 26, 2024
Full time
Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office A pioneering reinsurance agency based in Bristol, UK, specializing in the cutting-edge domain of cyber risk. Leveraging advanced analytics and proprietary models, my client aims to redefine the landscape of cyber risk assessment and management. Our commitment to innovation and excellence has positioned us as a leader in the cyber reinsurance market.Position Overview for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office A highly technical and experienced Data Scientist to join their dynamic modelling team. Reporting into our Head of Data Science & Modelling, the successful candidate will play a pivotal role in the development and operationalization of 's proprietary stochastic cyber risk model. This position offers the opportunity to contribute significantly to the advancement of our analytical capabilities and to the broader field of cyber risk modelling.Key Responsibilities Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Model Development and Operation: Be a key member of the team responsible for the design, development, refinement, and execution of 's stochastic cyber risk model, ensuring its accuracy, performance, and scalability.Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing a variety of statistical and machine learning techniques.Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders.Collaboration: Work closely with other team members, including underwriters, engineers, and cyber risk analysts, to integrate the cyber risk model with other systems and processes.Innovation: Stay abreast of the latest developments in data science, cyber security, and risk modelling, and incorporate innovative techniques and technologies into our models.Qualifications for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Senior Data Scientist Experience: At least 5 years of experience working as a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics.Education: A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred.Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High level of proficiency in Python & SQL. Experience with big data technologies and tools. Databricks and Pyspark are highly desirable. Experience of working in agile software development processes.Industry Knowledge: Experience in insurance, cyber, or a related domain is ideal. Understanding of the reinsurance industry and its challenges is a plus.Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work effectively in a team-oriented environment.How to apply for Senior Data Scientist - Cyber Risk Modelling (Python/SQL/Databricks/ PySpark/ DBRX - Bristol based office Please apply by sending your CV to the following links below. Mid level Data Scientist and Data Engineer roles also available
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Apr 26, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Apr 26, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
We are looking for an experienced Data Scientist to join WTW in our Insurance Consulting & Technology practice (ICT). We have a growing data science team and are developing our client facing data science advisory capability. You will work beside some of the insurance market's top people, designing and implementing cutting-edge solutions to challenges faced by the world's top general insurers and intermediaries in both commercial and personal lines business. The Role Deliver best in class data science capability reviews. Build effective predictive models, analytic tools and processes using a wide range of analytical and data science techniques. Leverage your market knowledge to develop cutting edge solutions in collaboration with various teams from across WTW. Build a market profile as a representative and advocate of WTW data science consulting services and technology solutions. Manage substantial work streams in large projects, with responsibility for communication with clients and the day-to-day running of projects. Work collaboratively on a range of projects / internal responsibilities and manage priorities appropriately. Develop a trusted advisor relationship with client contacts through effective communication and efficient, quality execution of client work. Seek to be involved in a variety of work to ensure a broad skill set (technical, management and client) is maintained and developed. Interface with colleagues from other practices and regions on assignments that reflect the client's broader business issues. Demonstrate commitment to Willis Towers Watson professional standards in managing analyses and in communications with client. To develop new relevant propositions or to enhance current pricing propositions leveraging Willis Towers Watson's toolset and broader pricing intellectual property and resources. Manage or contribute to the development of the company's intellectual capital including plans for taking this to market. Financial and business development. Meet goals for billable hours and intellectual capital development. Develop and present proposals to potential clients, demonstrating the economic value of the company's offerings. Use contacts within current network to obtain introductions to new contacts; work to develop supporters for company's products and services. Manage teams of one or more junior associates to effectively deliver client projects on time and on budget. The Requirements Comprehensive experience in data science for a large corporate, consultancy or technology firm, with experience in a UK general insurance firm (personal or commercial lines) of great benefit. An advocate for the development of analytical approaches and the adoption of new techniques, including data science, machine learning and AI. Solid experience with data manipulation. Experience with python, git (or other versioning tools) and mlops is preferred. An understanding of machine learning and statistical theory. Experience with Azure and AWS is desirable. A track record in innovation and creativity delivering realised revenue enhancements. Strong interpersonal and team skills. Self-starter attitude and ability to work within ambiguity. Enjoy training/mentoring junior staff. Excellent project management skills. The ability to see the "big picture", leveraging the resources of related practices to address clients' business challenges. At WTW, we trust you to know your work and the people, tools, and environment you need to be successful. Most of our colleagues work in a "hybrid" style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role, and clients. Our flexibility is rooted in trust and "hybrid" is not a one-size-fits-all solution We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.
Apr 26, 2024
Full time
We are looking for an experienced Data Scientist to join WTW in our Insurance Consulting & Technology practice (ICT). We have a growing data science team and are developing our client facing data science advisory capability. You will work beside some of the insurance market's top people, designing and implementing cutting-edge solutions to challenges faced by the world's top general insurers and intermediaries in both commercial and personal lines business. The Role Deliver best in class data science capability reviews. Build effective predictive models, analytic tools and processes using a wide range of analytical and data science techniques. Leverage your market knowledge to develop cutting edge solutions in collaboration with various teams from across WTW. Build a market profile as a representative and advocate of WTW data science consulting services and technology solutions. Manage substantial work streams in large projects, with responsibility for communication with clients and the day-to-day running of projects. Work collaboratively on a range of projects / internal responsibilities and manage priorities appropriately. Develop a trusted advisor relationship with client contacts through effective communication and efficient, quality execution of client work. Seek to be involved in a variety of work to ensure a broad skill set (technical, management and client) is maintained and developed. Interface with colleagues from other practices and regions on assignments that reflect the client's broader business issues. Demonstrate commitment to Willis Towers Watson professional standards in managing analyses and in communications with client. To develop new relevant propositions or to enhance current pricing propositions leveraging Willis Towers Watson's toolset and broader pricing intellectual property and resources. Manage or contribute to the development of the company's intellectual capital including plans for taking this to market. Financial and business development. Meet goals for billable hours and intellectual capital development. Develop and present proposals to potential clients, demonstrating the economic value of the company's offerings. Use contacts within current network to obtain introductions to new contacts; work to develop supporters for company's products and services. Manage teams of one or more junior associates to effectively deliver client projects on time and on budget. The Requirements Comprehensive experience in data science for a large corporate, consultancy or technology firm, with experience in a UK general insurance firm (personal or commercial lines) of great benefit. An advocate for the development of analytical approaches and the adoption of new techniques, including data science, machine learning and AI. Solid experience with data manipulation. Experience with python, git (or other versioning tools) and mlops is preferred. An understanding of machine learning and statistical theory. Experience with Azure and AWS is desirable. A track record in innovation and creativity delivering realised revenue enhancements. Strong interpersonal and team skills. Self-starter attitude and ability to work within ambiguity. Enjoy training/mentoring junior staff. Excellent project management skills. The ability to see the "big picture", leveraging the resources of related practices to address clients' business challenges. At WTW, we trust you to know your work and the people, tools, and environment you need to be successful. Most of our colleagues work in a "hybrid" style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role, and clients. Our flexibility is rooted in trust and "hybrid" is not a one-size-fits-all solution We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.