Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Apr 11, 2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
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)
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
May 15, 2023
Full time
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
Royal Society of Biology
Remote mostly, occasional visits to London office
1 day/week, for indefinite duration. £400-£500/day incl., depending on demonstrated expertise. Reports to the Director of Technology.
Key tasks in this role:
(1) Developing and maintaining in-depth knowledge of the ins and outs of our core business systems and services as part of our business continuity plan – being there if the Director of Technology is unavailable.
(2) Providing some general application and user support for our day-to-day operations, for our extensive in-house developed suite of cloud bases applications and platforms. This involves helping to support users and respond to some support queries.
The main focus of this role is really on the business continuity aspect . As such, it may at first sight be a bit strange that we specifically also want this role to involve some user support tasks. We understand our prime target candidates probably don’t see themselves primarily as a user support person. However, we feel that, realistically, it would be impossible to step in at short notice without being properly familiar with the organisation, its people and its day-to-day concerns and workings.
Just for clarity, in this role the candidate will not be writing code for us or designing our solutions and they will therefore be expected to work within the operational and strategic vision as set out by the Director and with the systems and services we have. We want to be clear about these constraints to avoid any future disappointment or disagreement.
In this role, the candidate will most of the time be able to work from home/remotely, but will be required to attend our London office as required to carry out in-person or on-site duties and meetings occasionally.
Our systems and services make heavy (and increasing) use of the AWS cloud, including services such as EC2, SES, IAM, Lambda, API Gateway, CloudFront.
As stated above, a key part of the role is to become intimately familiar with the ins and outs of the core business systems and services as part of our business continuity planning.
In terms of the skills, abilities and experience that we see as important for this role:
Substantial and proven experience in managing AWS resources, including EC2, S3, IAM, SES, Lambda, DynamoDB,…
Detailed understanding of the Windows environment, including desktop and server OS, Active Directory with Group Policy and Windows Server management.
In-depth understanding of core network technologies such as DHCP, DNS, RADIUS, …
Decent experience in managing Office365 email services.
A good grasp of good security and data protection practice.
Exposure to languages such as PHP, Javascript and node.js and decent expertise with MySQL databases is beneficial.
Some real-world experience with programming in the area of web/cloud applications would be an added benefit, but not an absolute requirement.
With regard to the sort of personality we are am looking for:
Someone friendly and good at engaging with people at all levels and in all functions.
Someone who communicates effectively and in a constructive manner.
Someone who operates at all times with the highest degree of integrity and honesty.
Someone who is organised and methodical.
The Royal Society of Biology is a single unified voice for biology: advising Government and influencing policy; advancing education and professional development; supporting our members, and engaging and encouraging public interest in the life sciences. The Society represents a diverse membership of individuals, learned societies and other organisations.
Individual members include practising scientists, students at all levels, professionals in academia, industry and education, and non-professionals with an interest in biology.
Our vision is of a world that understands the true value of biology and how it can contribute to improving life for all.
Our mission is to be the unifying voice for biology, to facilitate the promotion of new discoveries in biological science for national and international benefit, and to engage the wider public with our work.
Oct 05, 2022
Contractor
1 day/week, for indefinite duration. £400-£500/day incl., depending on demonstrated expertise. Reports to the Director of Technology.
Key tasks in this role:
(1) Developing and maintaining in-depth knowledge of the ins and outs of our core business systems and services as part of our business continuity plan – being there if the Director of Technology is unavailable.
(2) Providing some general application and user support for our day-to-day operations, for our extensive in-house developed suite of cloud bases applications and platforms. This involves helping to support users and respond to some support queries.
The main focus of this role is really on the business continuity aspect . As such, it may at first sight be a bit strange that we specifically also want this role to involve some user support tasks. We understand our prime target candidates probably don’t see themselves primarily as a user support person. However, we feel that, realistically, it would be impossible to step in at short notice without being properly familiar with the organisation, its people and its day-to-day concerns and workings.
Just for clarity, in this role the candidate will not be writing code for us or designing our solutions and they will therefore be expected to work within the operational and strategic vision as set out by the Director and with the systems and services we have. We want to be clear about these constraints to avoid any future disappointment or disagreement.
In this role, the candidate will most of the time be able to work from home/remotely, but will be required to attend our London office as required to carry out in-person or on-site duties and meetings occasionally.
Our systems and services make heavy (and increasing) use of the AWS cloud, including services such as EC2, SES, IAM, Lambda, API Gateway, CloudFront.
As stated above, a key part of the role is to become intimately familiar with the ins and outs of the core business systems and services as part of our business continuity planning.
In terms of the skills, abilities and experience that we see as important for this role:
Substantial and proven experience in managing AWS resources, including EC2, S3, IAM, SES, Lambda, DynamoDB,…
Detailed understanding of the Windows environment, including desktop and server OS, Active Directory with Group Policy and Windows Server management.
In-depth understanding of core network technologies such as DHCP, DNS, RADIUS, …
Decent experience in managing Office365 email services.
A good grasp of good security and data protection practice.
Exposure to languages such as PHP, Javascript and node.js and decent expertise with MySQL databases is beneficial.
Some real-world experience with programming in the area of web/cloud applications would be an added benefit, but not an absolute requirement.
With regard to the sort of personality we are am looking for:
Someone friendly and good at engaging with people at all levels and in all functions.
Someone who communicates effectively and in a constructive manner.
Someone who operates at all times with the highest degree of integrity and honesty.
Someone who is organised and methodical.
The Royal Society of Biology is a single unified voice for biology: advising Government and influencing policy; advancing education and professional development; supporting our members, and engaging and encouraging public interest in the life sciences. The Society represents a diverse membership of individuals, learned societies and other organisations.
Individual members include practising scientists, students at all levels, professionals in academia, industry and education, and non-professionals with an interest in biology.
Our vision is of a world that understands the true value of biology and how it can contribute to improving life for all.
Our mission is to be the unifying voice for biology, to facilitate the promotion of new discoveries in biological science for national and international benefit, and to engage the wider public with our work.
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
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 19, 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
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 - Thursday 25th April 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 of for your birthday off 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 19, 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 - Thursday 25th April 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 of for your birthday off 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 - Thursday 25th April 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 of for your birthday off 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 19, 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 - Thursday 25th April 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 of for your birthday off 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.
Data Scientist - 1-2 days p/week in the Cardiff office, the rest can be remote There will be regular travel to Cardiff for this role so living within 50 miles of Cardiff would be highly beneficial. Credit Risk - If you have previous experience within a credit risk environment and strong R skills this contract could be ideal for you. Duration: Initially until the end of 2024 with a strong chance of extensions Rate: £500-£600 p/d (Inside IR35 and paid through an umbrella company) Our client, a leading innovator in data-driven decision-making, is seeking a Data Scientist to contribute to their product strategy through statistical analysis. This role requires a blend of statistical expertise and business acumen. You will play a key role in shaping product strategy by conducting insightful analysis and presenting findings to stakeholders. This role presents an ideal opportunity for a self-motivated individual who excels in collaborative environments and possesses strong communication skills. About the Role: We are looking for a Data Scientist to conduct statistical analysis to support product strategy decisions. Ideally you will have experience in data mining, statistical methods and modelling / scoring techniques. Responsibilities: Independently running analysis of large datasets, producing results and presenting these to business partners with the support of data science peers. Requirements: A degree in Computer Science, Mathematics, Statistics or Quantitative Methods (or equivalent experience). Good understanding of statistical methods applied to data analysis. Strong experience with R, Python, SAS, SPSS (or equivalent analytics software). The ability to describe statistical results to a non-statistical audience. Experience of processing large datasets and matching/merging multiple datasets. If you have strong R coding skills and previous experience of working within a credit risk environment we'd love to hear from you, please apply now for further details, thanks!
Apr 18, 2024
Contractor
Data Scientist - 1-2 days p/week in the Cardiff office, the rest can be remote There will be regular travel to Cardiff for this role so living within 50 miles of Cardiff would be highly beneficial. Credit Risk - If you have previous experience within a credit risk environment and strong R skills this contract could be ideal for you. Duration: Initially until the end of 2024 with a strong chance of extensions Rate: £500-£600 p/d (Inside IR35 and paid through an umbrella company) Our client, a leading innovator in data-driven decision-making, is seeking a Data Scientist to contribute to their product strategy through statistical analysis. This role requires a blend of statistical expertise and business acumen. You will play a key role in shaping product strategy by conducting insightful analysis and presenting findings to stakeholders. This role presents an ideal opportunity for a self-motivated individual who excels in collaborative environments and possesses strong communication skills. About the Role: We are looking for a Data Scientist to conduct statistical analysis to support product strategy decisions. Ideally you will have experience in data mining, statistical methods and modelling / scoring techniques. Responsibilities: Independently running analysis of large datasets, producing results and presenting these to business partners with the support of data science peers. Requirements: A degree in Computer Science, Mathematics, Statistics or Quantitative Methods (or equivalent experience). Good understanding of statistical methods applied to data analysis. Strong experience with R, Python, SAS, SPSS (or equivalent analytics software). The ability to describe statistical results to a non-statistical audience. Experience of processing large datasets and matching/merging multiple datasets. If you have strong R coding skills and previous experience of working within a credit risk environment we'd love to hear from you, please apply now for further details, thanks!
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 18, 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 18, 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.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace.?We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more.?We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. An exciting opportunity within financial services client is looking for Data Scientist based in London. Role : Data Scientist Location : London (2 days a week onsite) Duration : 6 Months Status : Inside IR35 This role is pivotal for our lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector. The candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand our market presence. Experience and skills Required: Experience in data science with a focus on lead generation and new business development in the finance or payments sector. Strong proficiency in SQL and experience with data preparation, cleaning, and manipulation. Expertise in building and deploying machine learning models, especially related to customer behavior, segmentation, and propensity analysis. Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines. Responsibilities: Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client engagement and conversion rates, optimizing our prospecting strategies. Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies. Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts. Develop and maintain SQL-based data workflows for efficient data preparation, cleaning, and analysis to support lead generation activities. Present data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives. Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer.
Apr 18, 2024
Full time
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace.?We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more.?We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. An exciting opportunity within financial services client is looking for Data Scientist based in London. Role : Data Scientist Location : London (2 days a week onsite) Duration : 6 Months Status : Inside IR35 This role is pivotal for our lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector. The candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand our market presence. Experience and skills Required: Experience in data science with a focus on lead generation and new business development in the finance or payments sector. Strong proficiency in SQL and experience with data preparation, cleaning, and manipulation. Expertise in building and deploying machine learning models, especially related to customer behavior, segmentation, and propensity analysis. Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines. Responsibilities: Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client engagement and conversion rates, optimizing our prospecting strategies. Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies. Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts. Develop and maintain SQL-based data workflows for efficient data preparation, cleaning, and analysis to support lead generation activities. Present data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives. Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer.
Head of Data Engineering The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will possess strong leadership skills, deep technical expertise in data management and analytics, and a proven track record of implementing innovative data strategies to support business objectives. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency. Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements. Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements. Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth. Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage. Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role. Proven track record of developing and implementing data strategies that drive business growth and innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset. Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy. Please see our website for Crimson's Privacy Statement, should you wish to view prior to applying for this vacancy.
Apr 18, 2024
Full time
Head of Data Engineering The Head of Data will be a strategic leader responsible for overseeing all aspects of data management, analytics, and governance within the organisation. This individual will play a critical role in driving data-driven decision-making processes, optimising data infrastructure, and ensuring the integrity, security, and accessibility of data assets. The ideal candidate will possess strong leadership skills, deep technical expertise in data management and analytics, and a proven track record of implementing innovative data strategies to support business objectives. Key Responsibilities: Strategic Leadership: Lead the development and execution of the organisation's data strategy, aligning it with business goals and objectives. Provide strategic direction for the use of data to drive decision-making and improve operational efficiency. Data Management: Oversee the design, implementation, and maintenance of robust data management systems and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure the accuracy, consistency, security, and privacy of data across the organization. Develop data quality metrics and monitor compliance with regulatory requirements. Data Architecture: Define and maintain the organization's data architecture, including data models, schemas, and taxonomies. Evaluate and select appropriate technologies and tools to support data management, analytics, and visualization requirements. Team Leadership: Build and lead a high-performing team of data professionals, including data engineers, analysts, scientists, and governance specialists. Provide mentorship, coaching, and professional development opportunities to foster a culture of continuous learning and growth. Cross-Functional Collaboration: Collaborate closely with other departments, including IT, finance, marketing, operations, and product development, to understand their data needs and priorities. Partner with business leaders to develop data-driven solutions that drive value and competitive advantage. Vendor Management: Evaluate and manage relationships with third-party data vendors, software providers, and consultants to ensure the successful implementation of data-related projects and initiatives. Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role. Proven track record of developing and implementing data strategies that drive business growth and innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience in managing cross-functional teams and driving cultural change towards a data-driven mindset. Ability to thrive in a fast-paced, dynamic environment and effectively prioritize and manage multiple projects and initiatives. Interested? Please submit your updated CV to Lucy Morgan at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy. Please see our website for Crimson's Privacy Statement, should you wish to view prior to applying for this vacancy.
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 18, 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
Senior Data Scientist - Behavioural Science UK - Remote £80,000-£90,000 This AI Health-tech start-up are looking for a Behavioural Data Scientist to join their R&D team. THE COMPANY Data & AI are at the core of this company and they're looking to continue growing their R&D team. This global start-up work with clients in the pharmaceutical industry to help solve their business problems by using behavioural data. THE ROLE As a Senior Data Scientist for the business, you will: Work solely with Behavioural data to understand patients as consumers and make sure the data engine is the best in class Analyse the data and build predictive models to understand patient behaviour Work with Data Engineers to put the ML models into production SKILLS AND EXPERIENCE PhD in a relevant subject Several years commercial experience as a Data Scientist working with Behavioural data Experience building predictive models in Python Experience in the healthcare/ pharma space would be beneficial SALARY AND BENEFITS £80,000-£90,000 depending on experience Bonus based on individual and company performance Benefits such as pension, healthcare, unlimited holidays Flexible working - fully remote UK based (can't sponsor) with an office in London where the team will meet once per month. You can go to the office as often as you want but no set requirements INTERVIEW PROCESS 3 stage interview process speaking with various stakeholders from the R&D team including a case study / technical assessment HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
Apr 18, 2024
Full time
Senior Data Scientist - Behavioural Science UK - Remote £80,000-£90,000 This AI Health-tech start-up are looking for a Behavioural Data Scientist to join their R&D team. THE COMPANY Data & AI are at the core of this company and they're looking to continue growing their R&D team. This global start-up work with clients in the pharmaceutical industry to help solve their business problems by using behavioural data. THE ROLE As a Senior Data Scientist for the business, you will: Work solely with Behavioural data to understand patients as consumers and make sure the data engine is the best in class Analyse the data and build predictive models to understand patient behaviour Work with Data Engineers to put the ML models into production SKILLS AND EXPERIENCE PhD in a relevant subject Several years commercial experience as a Data Scientist working with Behavioural data Experience building predictive models in Python Experience in the healthcare/ pharma space would be beneficial SALARY AND BENEFITS £80,000-£90,000 depending on experience Bonus based on individual and company performance Benefits such as pension, healthcare, unlimited holidays Flexible working - fully remote UK based (can't sponsor) with an office in London where the team will meet once per month. You can go to the office as often as you want but no set requirements INTERVIEW PROCESS 3 stage interview process speaking with various stakeholders from the R&D team including a case study / technical assessment HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. An exciting opportunity within financial services client is looking for Data Scientist based in London. Role : Data Scientist Location : London (2 days a week onsite) Duration : 6 Months Status : Inside IR35 This role is pivotal for our lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector. The candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand our market presence. Experience and skills Required: Experience in data science with a focus on lead generation and new business development in the finance or payments sector. Strong proficiency in SQL and experience with data preparation, cleaning, and manipulation. Expertise in building and deploying machine learning models, especially related to customer behavior, segmentation, and propensity analysis. Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines. Responsibilities: Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client engagement and conversion rates, optimizing our prospecting strategies. Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies. Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts. Develop and maintain SQL-based data workflows for efficient data preparation, cleaning, and analysis to support lead generation activities. Present data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives. Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer.
Apr 18, 2024
Contractor
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. An exciting opportunity within financial services client is looking for Data Scientist based in London. Role : Data Scientist Location : London (2 days a week onsite) Duration : 6 Months Status : Inside IR35 This role is pivotal for our lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector. The candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand our market presence. Experience and skills Required: Experience in data science with a focus on lead generation and new business development in the finance or payments sector. Strong proficiency in SQL and experience with data preparation, cleaning, and manipulation. Expertise in building and deploying machine learning models, especially related to customer behavior, segmentation, and propensity analysis. Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines. Responsibilities: Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client engagement and conversion rates, optimizing our prospecting strategies. Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies. Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts. Develop and maintain SQL-based data workflows for efficient data preparation, cleaning, and analysis to support lead generation activities. Present data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives. Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer.
Senior Data Scientist Oxford (2 days) Up to £90k Use your skills to have a positive impact on the planet Be part of a highly collaborative, young and dynamic team Opportunity to mentor junior and mid-level Data Scientists I'm looking for an experienced Data Scientist to join a battery storage and renewable energy company in Oxford. If you want to combine your love for data science with the desire to have a positive impact on the planet then this is the role for you. I'll kick off with the essential requirements as it's a role where you'll need to hit the ground running. Experience working within energy, power, renewables or trading Time Series forecasting Strong statistics/bayesian/probabilistic modelling background Excellent Python skills Desire to work in a genuinely collaborative manner and innovate with the team - this probably won't work for people who want to work solo Beyond this, here are some desirables: Experience working on real-time battery optimisation platforms Background taking models into production and handling deployment Day to day you'll be tasked with the development of the forecasting and algorithmic trading platform, primarily focussing on the UK power market. You'll be joining a well-established data science function made up of a Head, Lead and several talented junior and mid-level DS. This is supported by a global software engineering team and a fully functioning trading desk should you need support in handling production or in-depth energy trading knowledge. If you come from a power market background Reach out to Jamie Forgan at SR2 and we can discuss things in more detail.
Apr 18, 2024
Full time
Senior Data Scientist Oxford (2 days) Up to £90k Use your skills to have a positive impact on the planet Be part of a highly collaborative, young and dynamic team Opportunity to mentor junior and mid-level Data Scientists I'm looking for an experienced Data Scientist to join a battery storage and renewable energy company in Oxford. If you want to combine your love for data science with the desire to have a positive impact on the planet then this is the role for you. I'll kick off with the essential requirements as it's a role where you'll need to hit the ground running. Experience working within energy, power, renewables or trading Time Series forecasting Strong statistics/bayesian/probabilistic modelling background Excellent Python skills Desire to work in a genuinely collaborative manner and innovate with the team - this probably won't work for people who want to work solo Beyond this, here are some desirables: Experience working on real-time battery optimisation platforms Background taking models into production and handling deployment Day to day you'll be tasked with the development of the forecasting and algorithmic trading platform, primarily focussing on the UK power market. You'll be joining a well-established data science function made up of a Head, Lead and several talented junior and mid-level DS. This is supported by a global software engineering team and a fully functioning trading desk should you need support in handling production or in-depth energy trading knowledge. If you come from a power market background Reach out to Jamie Forgan at SR2 and we can discuss things in more detail.
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 18, 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
Data Scientist - Energy Trading Permanent Oxford Hybrid role, 2 days in the office per week The role: Building machine learning models to forecast demand, market prices, and participant behaviour. Building decision-making "agents" to act autonomously in power markets. Bringing an experimental mindset, prototyping and developing with the right model for the job. The requirements: You have exposure to energy markets You have a passion for time-series forecasting and experience bringing timeseries forecasts to production. You are fluent in Python and its wider numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.). You have at least 3 years of commercial experience developing and productionising real-time projects in Machine Learning and Data Science. You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Apr 18, 2024
Full time
Data Scientist - Energy Trading Permanent Oxford Hybrid role, 2 days in the office per week The role: Building machine learning models to forecast demand, market prices, and participant behaviour. Building decision-making "agents" to act autonomously in power markets. Bringing an experimental mindset, prototyping and developing with the right model for the job. The requirements: You have exposure to energy markets You have a passion for time-series forecasting and experience bringing timeseries forecasts to production. You are fluent in Python and its wider numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.). You have at least 3 years of commercial experience developing and productionising real-time projects in Machine Learning and Data Science. You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Who We Are: Endeavor is a global sports and entertainment company, home to many of the world's most dynamic and engaging storytellers, brands, live events, and experiences. The Endeavor network specializes in talent representation through entertainment agency WME; sports operations and advisory, event management, media production and distribution, and brand licensing through IMG; live event experiences and hospitality through On Location; full-service marketing through global cultural marketing agency 160over90; and sports data and technology through IMG ARENA and OpenBet. Endeavor is also the majority owner of TKO Group Holdings (NYSE: TKO), a premium sports and entertainment company comprising UFC and WWE. The Company: Endeavor (formerly WME IMG) is a global leader in sports, entertainment and fashion operating in more than 30 countries. Named one of Fortune's 25 Most Important Private Companies, Endeavor is comprised of a number of industry-leading companies including WME, IMG and UFC. The Endeavor network specializes in talent representation and management; brand marketing, sponsorship and licensing; media sales and distribution; event operation and management; and sports training and league development. The Opportunity In your role as Senior Product Manager within Endeavor's Data Services department, you'll play a pivotal role in developing and shaping data solutions that span Big Data, Business Intelligence, and Data Science across Endeavor's global operations. We work in cross functional product squads composed of Data Engineers, Data Analysts, Data Scientists, Business Analysts, and other supporting roles such as DevOps, Security and Architecture. You will be responsible for your own assigned squad(s) products, as well as setting up processes, shared resources and workflows for other squads. You will need a strategic mindset and to be able to positively influence other Product Managers in their strategy and direction. This role may involve management of other Product Managers or Business Analysts. Role & Responsibilities Develop and articulate a clear and engaging product vision and strategy that aligns with our departmental and company goals. Enhance departmental workflows and processes, promoting efficiency and a shared learning environment. Utilise data analytics and usage metrics to monitor product performance, guiding strategic improvements and user engagement. Lead market research to uncover emerging trends and opportunities for innovation. Manage project budgets with a focus on optimal resource allocation and impact. Deliver exceptional products that meet or exceed client's expectations, to the agreed timeline and release plans. Clearly define product requirements and user stories, ensuring a thorough understanding among development teams. Strategically prioritize the product backlog to reflect our client's needs and potential business impact. Directly engage with clients to gather feedback, sharing insights and updates to guide future product enhancements. Work closely with all disciplines in the Data Services department from Support, Engineering, Analysis, QA, management and Scrum Masters Meet with data scientists, data analysts and data engineers to create an understanding of the business impact and value of the requirements Introduce agile process improvements, and work in an evolving Agile and DevOps environment providing and receiving honest feedback Produce and maintain product roadmaps, and ensure clients are kept up-to-date with progress and tracking against roadmap Provide proactive and timely communication to stakeholders regarding releases, delays, updates and issues Collaborate with clients to understand their data needs, gather feedback and incorporate insights into product development Conduct regular client meetings and presentations to communicate product updates, roadmap and gather input for future enhancements Set expectations with stakeholders and mitigate issues to ensure smooth and on-time deliveries Develop and maintain product documentation, including user guides and release notes Preferred Skills A seasoned Product Manager with extensive in Product Management or similar roles Bachelor's degree in Information Systems, Computer Science or equivalent experience A comprehensive understanding of Agile methodologies and proven examples of introducing new agile practises and ideas into teams Excellent proactive stakeholder management and communication skills Excellent organization and forward-planning skills Excellent scoping and requirement documentation skills A proactive approach to problem-solving, with a keen eye for detail and a drive to uncover the root cause of any challenge A solid grasp of data-related products including data science, analytics, reporting, dashboarding, Big Data and data warehousing The ability to prioritize and execute tasks in a high-pressure environment A commitment to maintaining complete confidentiality and discretion at all times - all Endeavor employees are required to sign a confidentiality agreement, and any breach of this agreement will result in immediate disciplinary procedures Desirable Skills Previous leadership, management or mentoring experience Experience using product delivery tools e.g. JIRA/TFS Experience with data security principles and compliance (GDPR, CCPA etc) Experience with delivering cloud solutions Knowledge in a range of industries, including events, Media, Sports, Talent and other industries that Endeavor are involved with Additional Responsibilities and Duties when necessary Available to work out of normal business hours and weekends when required Endeavor unites and brings people together in our love of sport, culture, and entertainment. Weunderstand this can only be accomplished when we lead with a lens of diversity,equity,andinclusionineverything we do. As a global companythatdrivesculture,westrive to reflect theworld'sdiversevoices.Endeavor is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. About Us Endeavor (NYSE: EDR) is a global sports and entertainment company, home to many of the world's most dynamic and engaging storytellers, brands, live events, and experiences. The Endeavor network specializes in talent representation through entertainment agency WME; sports operations and advisory, event management, media production and distribution, and brand licensing through IMG; live event experiences and hospitality through On Location; full-service marketing through global cultural marketing agency 160over90; and sports data and technology through OpenBet. Endeavor is also the majority owner of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company comprising UFC and WWE. Diversity Statement for Endeavor Endeavor unites and brings people together in our love of sport, culture, and entertainment. We understand this can only be accomplished when we harness the entirety of our company and lead with a lens of diversity, equity, and inclusion in everything we do. It means that we engage in anti-racism and allyship the way we do anything. Fiercely and Fearlessly. As a global company that drives culture we endeavor to reflect the world's diverse voices both internally and externally to ensure success in our mission.
Apr 18, 2024
Full time
Who We Are: Endeavor is a global sports and entertainment company, home to many of the world's most dynamic and engaging storytellers, brands, live events, and experiences. The Endeavor network specializes in talent representation through entertainment agency WME; sports operations and advisory, event management, media production and distribution, and brand licensing through IMG; live event experiences and hospitality through On Location; full-service marketing through global cultural marketing agency 160over90; and sports data and technology through IMG ARENA and OpenBet. Endeavor is also the majority owner of TKO Group Holdings (NYSE: TKO), a premium sports and entertainment company comprising UFC and WWE. The Company: Endeavor (formerly WME IMG) is a global leader in sports, entertainment and fashion operating in more than 30 countries. Named one of Fortune's 25 Most Important Private Companies, Endeavor is comprised of a number of industry-leading companies including WME, IMG and UFC. The Endeavor network specializes in talent representation and management; brand marketing, sponsorship and licensing; media sales and distribution; event operation and management; and sports training and league development. The Opportunity In your role as Senior Product Manager within Endeavor's Data Services department, you'll play a pivotal role in developing and shaping data solutions that span Big Data, Business Intelligence, and Data Science across Endeavor's global operations. We work in cross functional product squads composed of Data Engineers, Data Analysts, Data Scientists, Business Analysts, and other supporting roles such as DevOps, Security and Architecture. You will be responsible for your own assigned squad(s) products, as well as setting up processes, shared resources and workflows for other squads. You will need a strategic mindset and to be able to positively influence other Product Managers in their strategy and direction. This role may involve management of other Product Managers or Business Analysts. Role & Responsibilities Develop and articulate a clear and engaging product vision and strategy that aligns with our departmental and company goals. Enhance departmental workflows and processes, promoting efficiency and a shared learning environment. Utilise data analytics and usage metrics to monitor product performance, guiding strategic improvements and user engagement. Lead market research to uncover emerging trends and opportunities for innovation. Manage project budgets with a focus on optimal resource allocation and impact. Deliver exceptional products that meet or exceed client's expectations, to the agreed timeline and release plans. Clearly define product requirements and user stories, ensuring a thorough understanding among development teams. Strategically prioritize the product backlog to reflect our client's needs and potential business impact. Directly engage with clients to gather feedback, sharing insights and updates to guide future product enhancements. Work closely with all disciplines in the Data Services department from Support, Engineering, Analysis, QA, management and Scrum Masters Meet with data scientists, data analysts and data engineers to create an understanding of the business impact and value of the requirements Introduce agile process improvements, and work in an evolving Agile and DevOps environment providing and receiving honest feedback Produce and maintain product roadmaps, and ensure clients are kept up-to-date with progress and tracking against roadmap Provide proactive and timely communication to stakeholders regarding releases, delays, updates and issues Collaborate with clients to understand their data needs, gather feedback and incorporate insights into product development Conduct regular client meetings and presentations to communicate product updates, roadmap and gather input for future enhancements Set expectations with stakeholders and mitigate issues to ensure smooth and on-time deliveries Develop and maintain product documentation, including user guides and release notes Preferred Skills A seasoned Product Manager with extensive in Product Management or similar roles Bachelor's degree in Information Systems, Computer Science or equivalent experience A comprehensive understanding of Agile methodologies and proven examples of introducing new agile practises and ideas into teams Excellent proactive stakeholder management and communication skills Excellent organization and forward-planning skills Excellent scoping and requirement documentation skills A proactive approach to problem-solving, with a keen eye for detail and a drive to uncover the root cause of any challenge A solid grasp of data-related products including data science, analytics, reporting, dashboarding, Big Data and data warehousing The ability to prioritize and execute tasks in a high-pressure environment A commitment to maintaining complete confidentiality and discretion at all times - all Endeavor employees are required to sign a confidentiality agreement, and any breach of this agreement will result in immediate disciplinary procedures Desirable Skills Previous leadership, management or mentoring experience Experience using product delivery tools e.g. JIRA/TFS Experience with data security principles and compliance (GDPR, CCPA etc) Experience with delivering cloud solutions Knowledge in a range of industries, including events, Media, Sports, Talent and other industries that Endeavor are involved with Additional Responsibilities and Duties when necessary Available to work out of normal business hours and weekends when required Endeavor unites and brings people together in our love of sport, culture, and entertainment. Weunderstand this can only be accomplished when we lead with a lens of diversity,equity,andinclusionineverything we do. As a global companythatdrivesculture,westrive to reflect theworld'sdiversevoices.Endeavor is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. About Us Endeavor (NYSE: EDR) is a global sports and entertainment company, home to many of the world's most dynamic and engaging storytellers, brands, live events, and experiences. The Endeavor network specializes in talent representation through entertainment agency WME; sports operations and advisory, event management, media production and distribution, and brand licensing through IMG; live event experiences and hospitality through On Location; full-service marketing through global cultural marketing agency 160over90; and sports data and technology through OpenBet. Endeavor is also the majority owner of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company comprising UFC and WWE. Diversity Statement for Endeavor Endeavor unites and brings people together in our love of sport, culture, and entertainment. We understand this can only be accomplished when we harness the entirety of our company and lead with a lens of diversity, equity, and inclusion in everything we do. It means that we engage in anti-racism and allyship the way we do anything. Fiercely and Fearlessly. As a global company that drives culture we endeavor to reflect the world's diverse voices both internally and externally to ensure success in our mission.