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)
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 27, 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 27, 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.
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.
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Apr 26, 2024
Full time
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Senior Data Scientist - Hybrid / Remote (one day on-site)- West London - up to 80,000 Our client is a pioneer in the food & beverage industry are they are now looking for a Data Scientist to work in a team of 7 and organise their financial data.In this role you will be in an agile squad with Data Scientists and Data engineers at different levels of seniority. Your task will evolve around anlaysing their financial data and you need to make this data available for other stakeholders across the business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk / insurance / FX Rates / Commodity pricing) is a bonus Benefits: Flexible working and a guaranteed Bonus of 5% (or more) If you are interested, submit your CV by applying directly or contacting Rosen at (url removed) Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Apr 26, 2024
Full time
Senior Data Scientist - Hybrid / Remote (one day on-site)- West London - up to 80,000 Our client is a pioneer in the food & beverage industry are they are now looking for a Data Scientist to work in a team of 7 and organise their financial data.In this role you will be in an agile squad with Data Scientists and Data engineers at different levels of seniority. Your task will evolve around anlaysing their financial data and you need to make this data available for other stakeholders across the business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk / insurance / FX Rates / Commodity pricing) is a bonus Benefits: Flexible working and a guaranteed Bonus of 5% (or more) If you are interested, submit your CV by applying directly or contacting Rosen at (url removed) Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
People Source Consulting
Cambridge, Cambridgeshire
Role: Senior Research Software Development Engineer Location: 198 Cambridge Science Park, Cambridge PAYE contract - Required start date Monday 22 April 2024, Required end date: 30/06/2024, expectation to extend up to 18 months from the start date. Work schedule: full time, 40 hours a week This position is for a highly proficient software engineer who likes to work in a research setting, and who will have the opportunity to impact the progress of this exciting new storage system. You would be responsible for working on the software controlling research systems and that analyses results. Come and join an incredibly talented multi-disciplinary team of laser scientists, optical physicists, electronics engineers, and computer scientists working together in a tight-knit team to build this storage technology of the future. Required skills Excellent software design and implementation skills. Mastery of computer science fundamentals (e.g., concurrency, data-structures. Proficient at communication and team working in a multi-disciplinary and highly agile environment. Able to work independently with minimal supervisions towards only partly-defined tasks interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing new features in the codebase to support research experiments. Working closely with scientists to understand their needs and help smooth their day-to-day workflow. Maintaining and improving our C# codebase which controls our hardware systems. Diagnosing and troubleshooting interactions between the hardware and software. Maintaining and improving our python codebase for results analysis. Qualifications Bachelor's in Computer Science (Masters or PhD preferred), or related field. Experience working in a research setting (e.g., PostDoc, Research Assistant, or Research Software Engineer (RSE C# coding, at least 3 years of experience. Contract Details: PAYE Contract 18 Months Contract Hybrid (Cambridge) How To Apply Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Apr 26, 2024
Contractor
Role: Senior Research Software Development Engineer Location: 198 Cambridge Science Park, Cambridge PAYE contract - Required start date Monday 22 April 2024, Required end date: 30/06/2024, expectation to extend up to 18 months from the start date. Work schedule: full time, 40 hours a week This position is for a highly proficient software engineer who likes to work in a research setting, and who will have the opportunity to impact the progress of this exciting new storage system. You would be responsible for working on the software controlling research systems and that analyses results. Come and join an incredibly talented multi-disciplinary team of laser scientists, optical physicists, electronics engineers, and computer scientists working together in a tight-knit team to build this storage technology of the future. Required skills Excellent software design and implementation skills. Mastery of computer science fundamentals (e.g., concurrency, data-structures. Proficient at communication and team working in a multi-disciplinary and highly agile environment. Able to work independently with minimal supervisions towards only partly-defined tasks interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing new features in the codebase to support research experiments. Working closely with scientists to understand their needs and help smooth their day-to-day workflow. Maintaining and improving our C# codebase which controls our hardware systems. Diagnosing and troubleshooting interactions between the hardware and software. Maintaining and improving our python codebase for results analysis. Qualifications Bachelor's in Computer Science (Masters or PhD preferred), or related field. Experience working in a research setting (e.g., PostDoc, Research Assistant, or Research Software Engineer (RSE C# coding, at least 3 years of experience. Contract Details: PAYE Contract 18 Months Contract Hybrid (Cambridge) How To Apply Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Our client has an exciting opportunity for a Senior Data Scientist to join the team. Location: London, UK (Remote) must be based in the UK as will require occasional travel into the office Salary: £60k - £85k PA (dependant on experience) Job Type: Full-time, Permanent About The Company: Our client is a leading EdTech firm specialising in child digital safety technology for use in primary and secondary schools in the UK. They aim to provide sophisticated advanced child digital safety by monitoring students' online activity, filtering content and providing alerts to school faculty regarding student safety. Senior Data Scientist The Role: Our client is looking for a Data Scientist to join their Data and AI team working closely with partners across the business to tackle challenging problems and enhance company performance through algorithms, experimentation, and interactive dashboards. As part of the Data and AI team, you will set the standard for data-driven decision-making. You will also have the chance to contribute to innovative research studies and the development of production-grade algorithms benefiting students and educators. Senior Data Scientist Key Responsibilities: - Take the lead in designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to educational content - Collaborate closely with product managers, software engineers, and educational experts to seamlessly integrate data science solutions into the platform -Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and ongoing improvement within the team - Regularly interface with senior management or executive leadership on matters pertaining to data science - Stay abreast of the latest advancements in data science, machine learning, generative AI, and educational technology - Uphold ethical standards in data usage, comply with privacy laws and regulations, and implement robust data governance practices to safeguard sensitive information pertaining to students and educators Senior Data Scientist You: - 5+ years of data scientist experience - Experience within EdTech or other similar field - Degree or Higher Education qualification in Computer Science or other relevant field - Advanced proficiency in Python and SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding junior to mid-level data scientists would be advantageous Senior Data Scientist Benefits: - Comprehensive pension scheme - 26 days holiday including an extra day for your birthday plus the option to buy additional days - Company car and expensed travel - Flexible working - Regular company events - Death in service 4 times annual salary - Annual personal learning budget - 7 hours of paid volunteering work Application Process: You must have the right to work in the UK in order to be eligible to apply for this position. This position is predominantly remote based but the role will require occasional travel into the office. To submit your CV for this exciting Senior Data Scientist opportunity, please click Apply
Apr 26, 2024
Full time
Our client has an exciting opportunity for a Senior Data Scientist to join the team. Location: London, UK (Remote) must be based in the UK as will require occasional travel into the office Salary: £60k - £85k PA (dependant on experience) Job Type: Full-time, Permanent About The Company: Our client is a leading EdTech firm specialising in child digital safety technology for use in primary and secondary schools in the UK. They aim to provide sophisticated advanced child digital safety by monitoring students' online activity, filtering content and providing alerts to school faculty regarding student safety. Senior Data Scientist The Role: Our client is looking for a Data Scientist to join their Data and AI team working closely with partners across the business to tackle challenging problems and enhance company performance through algorithms, experimentation, and interactive dashboards. As part of the Data and AI team, you will set the standard for data-driven decision-making. You will also have the chance to contribute to innovative research studies and the development of production-grade algorithms benefiting students and educators. Senior Data Scientist Key Responsibilities: - Take the lead in designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to educational content - Collaborate closely with product managers, software engineers, and educational experts to seamlessly integrate data science solutions into the platform -Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and ongoing improvement within the team - Regularly interface with senior management or executive leadership on matters pertaining to data science - Stay abreast of the latest advancements in data science, machine learning, generative AI, and educational technology - Uphold ethical standards in data usage, comply with privacy laws and regulations, and implement robust data governance practices to safeguard sensitive information pertaining to students and educators Senior Data Scientist You: - 5+ years of data scientist experience - Experience within EdTech or other similar field - Degree or Higher Education qualification in Computer Science or other relevant field - Advanced proficiency in Python and SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding junior to mid-level data scientists would be advantageous Senior Data Scientist Benefits: - Comprehensive pension scheme - 26 days holiday including an extra day for your birthday plus the option to buy additional days - Company car and expensed travel - Flexible working - Regular company events - Death in service 4 times annual salary - Annual personal learning budget - 7 hours of paid volunteering work Application Process: You must have the right to work in the UK in order to be eligible to apply for this position. This position is predominantly remote based but the role will require occasional travel into the office. To submit your CV for this exciting Senior Data Scientist opportunity, please click Apply
Senior Data Engineer Role purpose: The Senior Data Engineer plays a pivotal role within the Data team of the Digital and Information function, assuming a leadership position in ensuring the availability, integrity, quality, and accuracy of data. With a wealth of experience, the Senior Data Engineer leads the design, development, and maintenance of data pipelines and workflows, driving the organisation's data processing capabilities and enabling the seamless delivery of BI reporting and analytics. In addition to core responsibilities, the Senior Data Engineer takes a proactive role in advancing our Azure-based data platform, leveraging cutting-edge technologies like Azure Data Factory and Azure Databricks. This role presents exciting opportunities to spearhead digital transformation projects and innovate within the data landscape. Operating within Agile principles and methodologies, the Senior Data Engineer collaborates closely with fellow data engineers and key stakeholders, assuming a leading role in shaping and managing the portfolio of reporting and data requirements. Leveraging their extensive expertise, the Senior Data Engineer contributes significantly to refining the overall data strategy, ensuring alignment with organisational objectives and driving continuous improvement initiatives. Key Responsibilities: Ownership and delivery of the design, development and maintenance of highly scalable and robust data pipelines and workflows utilising Azure Data Factory and Databricks. Lead data transformation and integration efforts to augment data from diverse sources, ensuring data governance and regulatory compliance throughout the process. Establish and enforce data quality standards through the implementation of rigorous data validation processes, ensuring the utmost accuracy, completeness, and consistency of the data ecosystem. Serve as a key liaison between cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehensively understand data requirements, conduct User Acceptance Testing (UAT), and deliver tailored solutions that align with business objectives. Proactively monitor pipeline performance, swiftly identifying and resolving any potential issues to uphold seamless data processing operations and minimize downtime. Drive comprehensive documentation of data pipelines, workflows, and procedures to foster knowledge sharing and ensure ongoing system maintainability and scalability. Demonstrate proficiency in managing and resolving 2nd line data and reporting support requests through designated ticketing systems, mitigating disruptions to business operations with timely and effective resolutions. Actively engage in daily stand-ups, weekly stakeholder meetings, and retrospectives, providing valuable insights and contributing to continuous improvement initiatives across the team and broader organization. Technical / Professional Qualifications / Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and manipulation and good knowledge of Python. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Ability to lead and analyse complex data problems and propose effective solutions. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Benefits Include: 25 days AL plus bank holidays 1 Wellbeing day Private Medical Pension - 8% matched pension Life Assurance x4 basic salary Income protection Dental plan - voluntary benefit
Apr 26, 2024
Full time
Senior Data Engineer Role purpose: The Senior Data Engineer plays a pivotal role within the Data team of the Digital and Information function, assuming a leadership position in ensuring the availability, integrity, quality, and accuracy of data. With a wealth of experience, the Senior Data Engineer leads the design, development, and maintenance of data pipelines and workflows, driving the organisation's data processing capabilities and enabling the seamless delivery of BI reporting and analytics. In addition to core responsibilities, the Senior Data Engineer takes a proactive role in advancing our Azure-based data platform, leveraging cutting-edge technologies like Azure Data Factory and Azure Databricks. This role presents exciting opportunities to spearhead digital transformation projects and innovate within the data landscape. Operating within Agile principles and methodologies, the Senior Data Engineer collaborates closely with fellow data engineers and key stakeholders, assuming a leading role in shaping and managing the portfolio of reporting and data requirements. Leveraging their extensive expertise, the Senior Data Engineer contributes significantly to refining the overall data strategy, ensuring alignment with organisational objectives and driving continuous improvement initiatives. Key Responsibilities: Ownership and delivery of the design, development and maintenance of highly scalable and robust data pipelines and workflows utilising Azure Data Factory and Databricks. Lead data transformation and integration efforts to augment data from diverse sources, ensuring data governance and regulatory compliance throughout the process. Establish and enforce data quality standards through the implementation of rigorous data validation processes, ensuring the utmost accuracy, completeness, and consistency of the data ecosystem. Serve as a key liaison between cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehensively understand data requirements, conduct User Acceptance Testing (UAT), and deliver tailored solutions that align with business objectives. Proactively monitor pipeline performance, swiftly identifying and resolving any potential issues to uphold seamless data processing operations and minimize downtime. Drive comprehensive documentation of data pipelines, workflows, and procedures to foster knowledge sharing and ensure ongoing system maintainability and scalability. Demonstrate proficiency in managing and resolving 2nd line data and reporting support requests through designated ticketing systems, mitigating disruptions to business operations with timely and effective resolutions. Actively engage in daily stand-ups, weekly stakeholder meetings, and retrospectives, providing valuable insights and contributing to continuous improvement initiatives across the team and broader organization. Technical / Professional Qualifications / Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and manipulation and good knowledge of Python. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Ability to lead and analyse complex data problems and propose effective solutions. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Benefits Include: 25 days AL plus bank holidays 1 Wellbeing day Private Medical Pension - 8% matched pension Life Assurance x4 basic salary Income protection Dental plan - voluntary benefit
Unlock a Promising Career Opportunity in the Environmental Technology Sector. Our client, a forward-thinking company in the CleanTech industry, is seeking a talented Senior Data Scientist to join their team. If you have a strong background in data analysis, machine learning, and time series forecasting, this is the perfect opportunity for you to make a lasting impact in the renewable energy space. Don't miss out on this exciting chance to take your career to new heights. Key Responsibilities: Develop cutting-edge predictive models to analyse data related to energy consumption and renewable energy initiatives. Collaborate with skilled software engineers to effectively implement and deploy models. Establish and promote best practises in data science, ensuring continuous improvement and innovation. Dive deep into the vast ocean of available data sources and explore novel methodologies to uncover groundbreaking insights. Required Skills: Proficient in Python 3 and popular data science tools such as pandas, scikit-learn, and more. Extensive experience in creating and fine-tuning machine learning models. Knowledge of time series forecasting and optimisation techniques for accurate predictions. Strong analytical skills combined with a true passion for research-driven development. Excellent communication skills to effectively convey findings and drive meaningful change. - Bonus: If you have a background in forecasting, it will be a significant advantage. Our client's organisation offers a nurturing and supportive work environment where your expertise and contributions are highly valued. With a commitment to work-life balance, they provide remote work options and flexible hours that empower you to excel both professionally and personally. This is a full-time, permanent position working predominately remotely. As part of our client's visionary team, you'll enjoy a competitive salary ranging from 70,000 to 100,000 per year, commensurate with your experience and capabilities. Join our client's team today and become an essential force in shaping a more sustainable future. Let's work together to make a positive impact in the environmental technology sector. Ready to take the leap and secure this incredible opportunity? Submit your CV now and let us propel your career towards greatness. We can't wait to hear from you.
Apr 26, 2024
Full time
Unlock a Promising Career Opportunity in the Environmental Technology Sector. Our client, a forward-thinking company in the CleanTech industry, is seeking a talented Senior Data Scientist to join their team. If you have a strong background in data analysis, machine learning, and time series forecasting, this is the perfect opportunity for you to make a lasting impact in the renewable energy space. Don't miss out on this exciting chance to take your career to new heights. Key Responsibilities: Develop cutting-edge predictive models to analyse data related to energy consumption and renewable energy initiatives. Collaborate with skilled software engineers to effectively implement and deploy models. Establish and promote best practises in data science, ensuring continuous improvement and innovation. Dive deep into the vast ocean of available data sources and explore novel methodologies to uncover groundbreaking insights. Required Skills: Proficient in Python 3 and popular data science tools such as pandas, scikit-learn, and more. Extensive experience in creating and fine-tuning machine learning models. Knowledge of time series forecasting and optimisation techniques for accurate predictions. Strong analytical skills combined with a true passion for research-driven development. Excellent communication skills to effectively convey findings and drive meaningful change. - Bonus: If you have a background in forecasting, it will be a significant advantage. Our client's organisation offers a nurturing and supportive work environment where your expertise and contributions are highly valued. With a commitment to work-life balance, they provide remote work options and flexible hours that empower you to excel both professionally and personally. This is a full-time, permanent position working predominately remotely. As part of our client's visionary team, you'll enjoy a competitive salary ranging from 70,000 to 100,000 per year, commensurate with your experience and capabilities. Join our client's team today and become an essential force in shaping a more sustainable future. Let's work together to make a positive impact in the environmental technology sector. Ready to take the leap and secure this incredible opportunity? Submit your CV now and let us propel your career towards greatness. We can't wait to hear from you.
Recursion is a clinical biotechnology company building the world's largest proprietary biological and chemical data atlas, industrializing drug discovery and development. Recursion is proudly headquartered in Salt Lake City, Utah with offices in Toronto, Montreal and Milpitas, California. We're working to solve some of the most meaningful problems facing human health today. Come do the most impactful work of your career at a company that prioritizes belonging, collaboration and career development. We offer Participation in equity programs for full-time employees with restricted stock unit (RSUs) and employee stock purchase plan (ESPP) programs Competitive compensation offerings 100% coverage of health, vision, and dental insurance premiums for our employees and their dependents Access to a digital mental wellness platform providing a range of services for all staff and their dependents Available subsidized on-site childcare in Salt Lake City 401K matching program with immediate vesting Lifestyle spending benefit for fitness and wellbeing Generous paid parental leave, including adoptive leave Two company-wide, week-long breaks in July and December to recharge Beautiful, spacious headquarters location in downtown Salt Lake City, Utah that features daily catered lunches and a 70-foot rock climbing wall Our Toronto location is a multidisciplinary office focusing on engineering and machine learning, next door to The Rivoli and just steps from the Horseshoe Tavern The Montreal office is part of the Montreal Institute for Learning Algorithms (MILA) to maximize interaction and collaboration. It is in the Mile End neighborhood, steps away from great restaurants and bars in Little Italy and the Jean Talon Market Milpitas, California is home to our Vivarium lab which offers daily catered lunches and an arcade room Our culture and values We live our values at Recursion. They are the core behaviors that define our culture across every office, team and level. Our values aren't just nice ideas, they are our strategic advantage, the means by which we work well together so we can reinvent the drug discovery industry. Proud founding member of BioHive, the fastest growing life sciences community in the nation Get In Touch
Apr 26, 2024
Full time
Recursion is a clinical biotechnology company building the world's largest proprietary biological and chemical data atlas, industrializing drug discovery and development. Recursion is proudly headquartered in Salt Lake City, Utah with offices in Toronto, Montreal and Milpitas, California. We're working to solve some of the most meaningful problems facing human health today. Come do the most impactful work of your career at a company that prioritizes belonging, collaboration and career development. We offer Participation in equity programs for full-time employees with restricted stock unit (RSUs) and employee stock purchase plan (ESPP) programs Competitive compensation offerings 100% coverage of health, vision, and dental insurance premiums for our employees and their dependents Access to a digital mental wellness platform providing a range of services for all staff and their dependents Available subsidized on-site childcare in Salt Lake City 401K matching program with immediate vesting Lifestyle spending benefit for fitness and wellbeing Generous paid parental leave, including adoptive leave Two company-wide, week-long breaks in July and December to recharge Beautiful, spacious headquarters location in downtown Salt Lake City, Utah that features daily catered lunches and a 70-foot rock climbing wall Our Toronto location is a multidisciplinary office focusing on engineering and machine learning, next door to The Rivoli and just steps from the Horseshoe Tavern The Montreal office is part of the Montreal Institute for Learning Algorithms (MILA) to maximize interaction and collaboration. It is in the Mile End neighborhood, steps away from great restaurants and bars in Little Italy and the Jean Talon Market Milpitas, California is home to our Vivarium lab which offers daily catered lunches and an arcade room Our culture and values We live our values at Recursion. They are the core behaviors that define our culture across every office, team and level. Our values aren't just nice ideas, they are our strategic advantage, the means by which we work well together so we can reinvent the drug discovery industry. Proud founding member of BioHive, the fastest growing life sciences community in the nation Get In Touch
Senior Data Scientist - eCommerce Global Luxury Retailer £65k - £80k ? Remote/Central London Join this innovative luxury retailer, who have spent a number of years investing a huge amount into data and CRM personalization. This is underpinned by data science from the top down, across all layers of the company, driven by this centralised, global Data Science function. The team is led by a group of inspirational Directors, whose ongoing ambition is to improve customer experience and overall business performance. They are achieving this through the use of data science and advanced analytics across in store and digital channels. As a Senior Data Scientist you will deliver data science projects around things like building recommendation engines, conversion models, while helping the digital marketing teams to understand when a customer will buy or return an item. You will also be supporting decisions around making website changes to drive a change in customer behavior. You'll work as part of a team of Data Scientists as well as Data Engineers, so if you have a blended skill set across both MLE or software engineering and data science this is a HUGE plus! You will have the chance to flex your skills to improve eCommerce for this brand, as they work to reach ambitions to further modernise and improve their digital customer journey. The culture and pace is ferocious, so the ability to adapt to various stakeholder requests, and perform to a high level within a typical retail trading environment is key. Experience required: A background in leveraging hands on skills using tools such as Python, R, Spark, Hadoop, SQL and cloud based platforms such as GCP, Azure and AWS to manipulate and analyse various data sets in large volumes Background in data science from ideally a mature retail environment Experience in the application of data science within an eCommerce context for the purposes of improve online customer journey Confident and strong presentation skills; ability to bring data to life for senior leaders and non-technical stakeholders Thrives in a pacey and high performing environment Strong team collaboration skills, able to work in a dynamic and solutions focused environment
Apr 26, 2024
Full time
Senior Data Scientist - eCommerce Global Luxury Retailer £65k - £80k ? Remote/Central London Join this innovative luxury retailer, who have spent a number of years investing a huge amount into data and CRM personalization. This is underpinned by data science from the top down, across all layers of the company, driven by this centralised, global Data Science function. The team is led by a group of inspirational Directors, whose ongoing ambition is to improve customer experience and overall business performance. They are achieving this through the use of data science and advanced analytics across in store and digital channels. As a Senior Data Scientist you will deliver data science projects around things like building recommendation engines, conversion models, while helping the digital marketing teams to understand when a customer will buy or return an item. You will also be supporting decisions around making website changes to drive a change in customer behavior. You'll work as part of a team of Data Scientists as well as Data Engineers, so if you have a blended skill set across both MLE or software engineering and data science this is a HUGE plus! You will have the chance to flex your skills to improve eCommerce for this brand, as they work to reach ambitions to further modernise and improve their digital customer journey. The culture and pace is ferocious, so the ability to adapt to various stakeholder requests, and perform to a high level within a typical retail trading environment is key. Experience required: A background in leveraging hands on skills using tools such as Python, R, Spark, Hadoop, SQL and cloud based platforms such as GCP, Azure and AWS to manipulate and analyse various data sets in large volumes Background in data science from ideally a mature retail environment Experience in the application of data science within an eCommerce context for the purposes of improve online customer journey Confident and strong presentation skills; ability to bring data to life for senior leaders and non-technical stakeholders Thrives in a pacey and high performing environment Strong team collaboration skills, able to work in a dynamic and solutions focused environment
Title: Senior / Mid Level Data Scientists /Data Engineer Location: Bristol Contract Type: Permanent Salary Range: £50,000 - £80,000 per year Our client, a leading organisation in the reinsurance industry, is seeking talented and experienced Mid-Level Data Scientists /Data Engineers to join their team in Bristol. As a key player in the development and operations of their automated ingestion system, you will contribute to the enhancement of their data processing and analysis capabilities. Responsibilities: - Automated Ingestion System Development: Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines. - ML Component Integration: Integrate advanced machine learning components into data pipelines to optimise data processing and analysis. - Data Quality and Metrics: Implement data quality metrics and dashboards to ensure the integrity and accuracy of ingested data. - Collaboration: Work closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals. - Innovation: Utilise modern NLP techniques to improve data understanding and processing, staying updated with the latest developments in data science and engineering. Qualifications: - Experience: Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: Degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Perks: Health insurance Hybrid working Life assurance Private Medical 5% pension 28 days annual leave plus bank holidays Why join our client? - Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards collective goals. If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Don't miss this exciting opportunity to join their team in revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. Apply now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Apr 26, 2024
Full time
Title: Senior / Mid Level Data Scientists /Data Engineer Location: Bristol Contract Type: Permanent Salary Range: £50,000 - £80,000 per year Our client, a leading organisation in the reinsurance industry, is seeking talented and experienced Mid-Level Data Scientists /Data Engineers to join their team in Bristol. As a key player in the development and operations of their automated ingestion system, you will contribute to the enhancement of their data processing and analysis capabilities. Responsibilities: - Automated Ingestion System Development: Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines. - ML Component Integration: Integrate advanced machine learning components into data pipelines to optimise data processing and analysis. - Data Quality and Metrics: Implement data quality metrics and dashboards to ensure the integrity and accuracy of ingested data. - Collaboration: Work closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals. - Innovation: Utilise modern NLP techniques to improve data understanding and processing, staying updated with the latest developments in data science and engineering. Qualifications: - Experience: Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: Degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Perks: Health insurance Hybrid working Life assurance Private Medical 5% pension 28 days annual leave plus bank holidays Why join our client? - Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards collective goals. If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Don't miss this exciting opportunity to join their team in revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. Apply now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Position: Senior Data Scientist - Cyber Risk Quantitative Risk Modeller Location: Bristol Our client, a pioneering reinsurance agency based in Bristol, UK, is seeking a highly skilled and experienced Senior Data Scientist - Cyber Risk Quantitative Risk Modeller to join their dynamic modelling team. They specialise in the cutting-edge domain of cyber risk and aim to redefine the landscape of cyber risk assessment and management. As a Senior Data Scientist, reporting into the Head of Data Science & Modelling, you will play a pivotal role in the development and operationalization of our client's proprietary stochastic cyber risk model. This position offers an exciting opportunity to contribute significantly to the advancement of analytical capabilities and the broader field of cyber risk modelling. Responsibilities: - Model Development and Operation: Be a key member of the team responsible for designing, developing, refining, and executing the 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 using 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 updated with the latest developments in data science, cyber security, and risk modelling and incorporate innovative techniques and technologies into our models. Qualifications: - Experience: Minimum of 5 years of experience 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 proficiency in Python and SQL, with experience in big data technologies and tools (Databricks and Pyspark preferred). Familiarity with agile software development processes. - Industry Knowledge: Experience in insurance, cyber risk, or related domains 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. Benefits: - Impact: Make a tangible impact on the future of cyber risk management and reinsurance. - Innovation: Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo. - Growth: Benefit from opportunities for professional development and advancement in a rapidly growing company. - Culture: Join a collaborative, supportive, and forward-thinking team that values innovation and excellence. Salary: £70,000 to £80,000 per year Contract Type: Permanent Working Pattern: Full Time Additional Perks: Health insurance, Hybrid working, Life assurance, Private Medical, 5% pension, 28 days annual leave plus bank holidays, Collaborative working If you have the skills, experience, and passion to excel in this role, apply now and be a part of our client's groundbreaking work in the field of cyber risk assessment and management. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Apr 26, 2024
Full time
Position: Senior Data Scientist - Cyber Risk Quantitative Risk Modeller Location: Bristol Our client, a pioneering reinsurance agency based in Bristol, UK, is seeking a highly skilled and experienced Senior Data Scientist - Cyber Risk Quantitative Risk Modeller to join their dynamic modelling team. They specialise in the cutting-edge domain of cyber risk and aim to redefine the landscape of cyber risk assessment and management. As a Senior Data Scientist, reporting into the Head of Data Science & Modelling, you will play a pivotal role in the development and operationalization of our client's proprietary stochastic cyber risk model. This position offers an exciting opportunity to contribute significantly to the advancement of analytical capabilities and the broader field of cyber risk modelling. Responsibilities: - Model Development and Operation: Be a key member of the team responsible for designing, developing, refining, and executing the 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 using 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 updated with the latest developments in data science, cyber security, and risk modelling and incorporate innovative techniques and technologies into our models. Qualifications: - Experience: Minimum of 5 years of experience 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 proficiency in Python and SQL, with experience in big data technologies and tools (Databricks and Pyspark preferred). Familiarity with agile software development processes. - Industry Knowledge: Experience in insurance, cyber risk, or related domains 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. Benefits: - Impact: Make a tangible impact on the future of cyber risk management and reinsurance. - Innovation: Work at the forefront of data science and cyber security, with opportunities to innovate and challenge the status quo. - Growth: Benefit from opportunities for professional development and advancement in a rapidly growing company. - Culture: Join a collaborative, supportive, and forward-thinking team that values innovation and excellence. Salary: £70,000 to £80,000 per year Contract Type: Permanent Working Pattern: Full Time Additional Perks: Health insurance, Hybrid working, Life assurance, Private Medical, 5% pension, 28 days annual leave plus bank holidays, Collaborative working If you have the skills, experience, and passion to excel in this role, apply now and be a part of our client's groundbreaking work in the field of cyber risk assessment and management. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.