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)
We are looking for a Senior Data Scientist to join our growing data team who will make a significant contribution to the software development process, bringing a focus on the informational needs of end users throughout, and acting as a subject matter expert who influences your team and adjacent teams and promotes best practices. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. What you'll be doing You'll be working collaboratively as part of a cross-functional team alongside product managers, designers, software engineers, clinicians and scientists, bringing your expertise to ensure that the team is successful. In this role your key responsibilities will include but not be limited to: Working in cross-functional teams that are creating and launching new data-driven products. Hands-on development of new data features tailored to clinical, research or participant needs by writing tested and auditable code. Providing the data and information required to support conversations with participants and stakeholders, for example regarding prototypes or beta releases. Defining the end-to-end data requirements for feedback. Fitting and validating models, which could be simple at first but become progressively more complex. Supporting the deployment of models, writing logic in python and collaborating with software engineers to develop production-level systems. Specifying the rules and logic required to monitor feedback in production, so that we can ensure it is high quality. To succeed, you will have some of the following skills and experience: Proficient in Python and Spark, with experience working with version control. Experience of developing data-intensive consumer-facing products in a commercial and/or healthcare environment. Experience collaborating with software engineers on front-end and back-end systems. Ability to write modular, efficient, and well-documented code that can be adapted for use in production systems with minimal adjustments. Experience deploying and maintaining predictive models in production-level systems is advantageous. Experience fitting predictive and descriptive models to data using a variety of techniques and assessing model performance. A deep understanding of the different types of bias when that can arise and approaches that can be taken to address these. Experience of the steps that can be taken to make the results of models explainable and transparent. Experience working with a range of large-scale datasets from across health, care or and biomedicine, such as administrative data, questionnaires, electronic medical records or genomics data. Ability to concisely summarise and explain complex concepts in easy-to-understand terms to colleagues and experts. The ability to challenge effectively within cross-functional teams, and a receptiveness to learning from feedback from others. Experience of working within medical device regulations is advantageous. Competitive basic salary. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together.
May 18, 2024
Full time
We are looking for a Senior Data Scientist to join our growing data team who will make a significant contribution to the software development process, bringing a focus on the informational needs of end users throughout, and acting as a subject matter expert who influences your team and adjacent teams and promotes best practices. Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer. What you'll be doing You'll be working collaboratively as part of a cross-functional team alongside product managers, designers, software engineers, clinicians and scientists, bringing your expertise to ensure that the team is successful. In this role your key responsibilities will include but not be limited to: Working in cross-functional teams that are creating and launching new data-driven products. Hands-on development of new data features tailored to clinical, research or participant needs by writing tested and auditable code. Providing the data and information required to support conversations with participants and stakeholders, for example regarding prototypes or beta releases. Defining the end-to-end data requirements for feedback. Fitting and validating models, which could be simple at first but become progressively more complex. Supporting the deployment of models, writing logic in python and collaborating with software engineers to develop production-level systems. Specifying the rules and logic required to monitor feedback in production, so that we can ensure it is high quality. To succeed, you will have some of the following skills and experience: Proficient in Python and Spark, with experience working with version control. Experience of developing data-intensive consumer-facing products in a commercial and/or healthcare environment. Experience collaborating with software engineers on front-end and back-end systems. Ability to write modular, efficient, and well-documented code that can be adapted for use in production systems with minimal adjustments. Experience deploying and maintaining predictive models in production-level systems is advantageous. Experience fitting predictive and descriptive models to data using a variety of techniques and assessing model performance. A deep understanding of the different types of bias when that can arise and approaches that can be taken to address these. Experience of the steps that can be taken to make the results of models explainable and transparent. Experience working with a range of large-scale datasets from across health, care or and biomedicine, such as administrative data, questionnaires, electronic medical records or genomics data. Ability to concisely summarise and explain complex concepts in easy-to-understand terms to colleagues and experts. The ability to challenge effectively within cross-functional teams, and a receptiveness to learning from feedback from others. Experience of working within medical device regulations is advantageous. Competitive basic salary. Generous company pension package with employer contributions of up to 12%. 30 days annual leave (plus bank holidays). Continuous career development with regular appraisals and learning and development opportunities. A lovely new office in Holborn, Central London - we offer flexible and remote working arrangements. Join us - let's prevent disease together.
Senior Data Scientist/Analyst A European leader in cloud implementation, application development, and managed services in the financial services sector is seeking a Senior Data Scientist/Analyst for their office located in London. Project Details: - 6 Month Contract Inside IR35 - 1 day a week in office Responsibilities: Consume incidents from a bespoke data-related incident capture tool (DRIC) Mine and analyze the incident data captured through the DRIC to: Identify if discrete incidents can be linked to an existing issue Determine if incidents are thematically linked to form a new issue Track discrete incidents against future ones captured through the DRIC Break down issues into assessment factors including Revenue, Risk, Cost, Lost productivity Weight assessment factors appropriately Apply value to each assessment factor for an individual issue Skills: Data mining, modelling, and analysis skills Experience leveraging data to provide insights Business process analysis Problem-solving skills Communication and collaboration skills Experience in institutional financial services Experience in investment banking environment highly desirable This is an exciting opportunity for a Senior Data Scientist/Analyst to work with a European leader in cloud implementation within the financial services sector. If you are interested, please apply with your CV.
May 18, 2024
Full time
Senior Data Scientist/Analyst A European leader in cloud implementation, application development, and managed services in the financial services sector is seeking a Senior Data Scientist/Analyst for their office located in London. Project Details: - 6 Month Contract Inside IR35 - 1 day a week in office Responsibilities: Consume incidents from a bespoke data-related incident capture tool (DRIC) Mine and analyze the incident data captured through the DRIC to: Identify if discrete incidents can be linked to an existing issue Determine if incidents are thematically linked to form a new issue Track discrete incidents against future ones captured through the DRIC Break down issues into assessment factors including Revenue, Risk, Cost, Lost productivity Weight assessment factors appropriately Apply value to each assessment factor for an individual issue Skills: Data mining, modelling, and analysis skills Experience leveraging data to provide insights Business process analysis Problem-solving skills Communication and collaboration skills Experience in institutional financial services Experience in investment banking environment highly desirable This is an exciting opportunity for a Senior Data Scientist/Analyst to work with a European leader in cloud implementation within the financial services sector. If you are interested, please apply with your CV.
About Builder.ai We're on a mission to make app building so easy everyone can do it - regardless of their background, tech knowledge or budget. We've already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. And we've only just started! Builder.ai was voted as one of 2023's 'Most Innovative Companies in AI' by Fast Company, and won Europas 2022 'Scaleup of the Year'. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there's never been a more exciting time to become a Builder. Life at Builder.ai At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights. Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder's HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let's-get-stuff-done attitude. In return for your skills and commitment, we offer range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad Why we need this role Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. Our team is responsible for spearheading a wide range of existing use cases, driving Builder's Code Generation effort, taking ownership of our proprietary knowledge graph and leveraging advanced data analysis to derive valuable insights and make data-driven decisions. Key problems include: Utilizing generative AI for code generation and automating software assembly. Harnessing our proprietary knowledge graph to optimize the customer journey. Advancing internal text-to-image generation capabilities tailored to customer-specific content. Employing historical data to forecast software project price and timeline. Optimizing developer workforce allocation to align with customer demand and business metrics. Analyzing dependency structures and identifying bottlenecks in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial mindset and a can-do attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. Strong academic research background with a proven track record of accomplishments. Knowledge of graph databases and proficiency in Cypher query language. Familiarity with vector databases and expertise in Retrieval Augmented Generation (RAG). Hands-on experience in self-hosting and fine-tuning of open source Generative AI models. Ability to propose innovative and tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Attractive quarterly OKR bonus plan or commission scheme dependant on your role Stock options in a $450 million funded Series D scale-up company 24 days annual leave + bank holidays 2 x Builder family days each year Time off between Christmas and New Year Generous Referral Bonus scheme Pension contributions Private Medical Insurance provided by AXA Private Dental Insurance provided by Bupa Access to our Perkbox
May 18, 2024
Full time
About Builder.ai We're on a mission to make app building so easy everyone can do it - regardless of their background, tech knowledge or budget. We've already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. And we've only just started! Builder.ai was voted as one of 2023's 'Most Innovative Companies in AI' by Fast Company, and won Europas 2022 'Scaleup of the Year'. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there's never been a more exciting time to become a Builder. Life at Builder.ai At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights. Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder's HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let's-get-stuff-done attitude. In return for your skills and commitment, we offer range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad Why we need this role Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. Our team is responsible for spearheading a wide range of existing use cases, driving Builder's Code Generation effort, taking ownership of our proprietary knowledge graph and leveraging advanced data analysis to derive valuable insights and make data-driven decisions. Key problems include: Utilizing generative AI for code generation and automating software assembly. Harnessing our proprietary knowledge graph to optimize the customer journey. Advancing internal text-to-image generation capabilities tailored to customer-specific content. Employing historical data to forecast software project price and timeline. Optimizing developer workforce allocation to align with customer demand and business metrics. Analyzing dependency structures and identifying bottlenecks in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial mindset and a can-do attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. Strong academic research background with a proven track record of accomplishments. Knowledge of graph databases and proficiency in Cypher query language. Familiarity with vector databases and expertise in Retrieval Augmented Generation (RAG). Hands-on experience in self-hosting and fine-tuning of open source Generative AI models. Ability to propose innovative and tailored solutions to non-standard machine learning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Attractive quarterly OKR bonus plan or commission scheme dependant on your role Stock options in a $450 million funded Series D scale-up company 24 days annual leave + bank holidays 2 x Builder family days each year Time off between Christmas and New Year Generous Referral Bonus scheme Pension contributions Private Medical Insurance provided by AXA Private Dental Insurance provided by Bupa Access to our Perkbox
Senior Geospatial Data Scientist Up to £70,000 Hybrid - London A great opportunity to join a leading property investment and development company as a Senior Geospatial Data Scientist THE COMPANY The business is one of Europe's leading property investment and development companies with a portfolio worth over £18 billion and ownership of over 10 million square metres of space. Now a proud member of the FTSE100, the business are undergoing a period of rapid growth with the plan of becoming the world's best property company. As part of this growth, the business are looking to enhance their advanced analytics capabilities and add a Senior Geospatial Data Scientist to the team. THE ROLE AND RESPONSIBILITIES Produce and maintain advanced analytics deliverables for the businesses tasks and projects Assist in the identification and prioritisation of potential analytics projects and products which could add to business value Develop and maintain advanced analytics products/algorithms Assist other tech teams across the business on data related subjects YOUR KEY SKILLS AND EXPERIENCE Strong technical experience in SQL, Python, Power BI and Excel Proven track-record working with geo-coding and geo-spatial data, strong spatial mindset Good background in insights and analytics Proficiency in web-scraping THE BENEFITS Up to £70,000 + bonuses Hybrid London HOW TO APPLY If interested in this role please send your CV to Jordan Victor via the Apply Link below
May 18, 2024
Full time
Senior Geospatial Data Scientist Up to £70,000 Hybrid - London A great opportunity to join a leading property investment and development company as a Senior Geospatial Data Scientist THE COMPANY The business is one of Europe's leading property investment and development companies with a portfolio worth over £18 billion and ownership of over 10 million square metres of space. Now a proud member of the FTSE100, the business are undergoing a period of rapid growth with the plan of becoming the world's best property company. As part of this growth, the business are looking to enhance their advanced analytics capabilities and add a Senior Geospatial Data Scientist to the team. THE ROLE AND RESPONSIBILITIES Produce and maintain advanced analytics deliverables for the businesses tasks and projects Assist in the identification and prioritisation of potential analytics projects and products which could add to business value Develop and maintain advanced analytics products/algorithms Assist other tech teams across the business on data related subjects YOUR KEY SKILLS AND EXPERIENCE Strong technical experience in SQL, Python, Power BI and Excel Proven track-record working with geo-coding and geo-spatial data, strong spatial mindset Good background in insights and analytics Proficiency in web-scraping THE BENEFITS Up to £70,000 + bonuses Hybrid London HOW TO APPLY If interested in this role please send your CV to Jordan Victor via the Apply Link below
Team / Department : Data Science Team within Marketing Sciences Department ROLE We are looking for a Senior Data Scientist to join our world-class Data Science team of around 8 data scientists led by George Cushen ( ). As a business, we've won some of the biggest pitches in our category, such as Virgin Media 02 and Mercedes. Our clients say that we're "reinventing the future of marketing", applying the latest developments at the rapidly growing intersection of AI and marketing. We're part of Omnicom, the global leader in marketing communications, and more specifically, we're the data-centric arm of the Omnicom Precision Marketing Group (OPMG). RESPONSIBILITIES Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors such as retail, telecoms, banking, and fast-food Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Deliver effective presentations of findings and recommendations to technical and non-technical stakeholders Document projects in a manner that ensures specific processes can be replicated and scaled across an organization Collaborate with multiple teams and stakeholders in an agile, fast-paced, dynamic, and entrepreneurial environment Support with transforming technology and processes to employ latest best practices QUALIFICATIONS Basic Qualifications BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib Demonstrable skills in creative problem solving with strong attention to detail Clear, concise and engaging communications skills, and the ability to distil and translate complex analysis into actionable insights that a client will easily understand Preferred Qualifications MS or Ph.D. in Computer Science, Mathematics, Physics, or related fields A broader understanding of the marketing ecosystem and measurement framework, including but not limited to paid display, search, social, video, organic, web, and app Experience in analysing media, email, and web data, such as Google Ads, Meta, SalesForce, and Adobe Analytics Experience with media measurement solutions, such as media mix modelling, attribution models, causal inference, and experimentation (A/B testing and bandits) Experience versioning models with tools such as MLFlow for reproducibility Experience creating custom Python apps/dashboards with Dash Experience designing and creating APIs with FastAPI Experience with NLP, Computer Vision, and GenAI Experience enriching first-party data with advanced feature engineering and third-party data Demonstrable skills in problem-solving of complex and advanced technical subject matters Key attributes Attention to detail, exhibiting data curiosity and scepticism to ensure accurate and quality results A curious thinker who demonstrates interests in a wide range of business and technical subjects Proactive, passionate about building data and innovation solutions Excellent written and verbal communication skills - communicate efficiently and effectively to both technical and non-technical audiences ABOUT RAPP We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency's vision. And most importantly we value every individual's wellbeing. As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs. We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one - but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again. Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02. Us We are true advocates of flexible working with a hybrid working policy of 3 days per week in our incredible South Bank office, next to cultural hubs such as the Tate Modern. We ask you to work where and when you work best. We'll be honest though, we do love seeing people in the office, because it delivers on our Culture, Collaboration and Connection. For Concentration, work where you'll work best. We call it the 4 Cs. Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started. We recognise that the work of diversity, equity and inclusion calls on all of us. That's why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers. The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all. You're better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a "Me" day and an "Us" day, every year. Your "Me" day is for you to invest in yourself - go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix! Your "Us" day is all about giving back and helping others - volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity. We're progressive and always open to new initiatives, for example we've recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn't always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between. Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance. Recruitment process We like to keep recruitment swift, lean, and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus, we have a team on hand to answer questions throughout the process. We are RAPP, and we can't wait to meet you! Do you require sponsorship to work in the UK? I am able to commute to the London Bankside office 3x a week.
May 18, 2024
Full time
Team / Department : Data Science Team within Marketing Sciences Department ROLE We are looking for a Senior Data Scientist to join our world-class Data Science team of around 8 data scientists led by George Cushen ( ). As a business, we've won some of the biggest pitches in our category, such as Virgin Media 02 and Mercedes. Our clients say that we're "reinventing the future of marketing", applying the latest developments at the rapidly growing intersection of AI and marketing. We're part of Omnicom, the global leader in marketing communications, and more specifically, we're the data-centric arm of the Omnicom Precision Marketing Group (OPMG). RESPONSIBILITIES Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors such as retail, telecoms, banking, and fast-food Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Deliver effective presentations of findings and recommendations to technical and non-technical stakeholders Document projects in a manner that ensures specific processes can be replicated and scaled across an organization Collaborate with multiple teams and stakeholders in an agile, fast-paced, dynamic, and entrepreneurial environment Support with transforming technology and processes to employ latest best practices QUALIFICATIONS Basic Qualifications BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib Demonstrable skills in creative problem solving with strong attention to detail Clear, concise and engaging communications skills, and the ability to distil and translate complex analysis into actionable insights that a client will easily understand Preferred Qualifications MS or Ph.D. in Computer Science, Mathematics, Physics, or related fields A broader understanding of the marketing ecosystem and measurement framework, including but not limited to paid display, search, social, video, organic, web, and app Experience in analysing media, email, and web data, such as Google Ads, Meta, SalesForce, and Adobe Analytics Experience with media measurement solutions, such as media mix modelling, attribution models, causal inference, and experimentation (A/B testing and bandits) Experience versioning models with tools such as MLFlow for reproducibility Experience creating custom Python apps/dashboards with Dash Experience designing and creating APIs with FastAPI Experience with NLP, Computer Vision, and GenAI Experience enriching first-party data with advanced feature engineering and third-party data Demonstrable skills in problem-solving of complex and advanced technical subject matters Key attributes Attention to detail, exhibiting data curiosity and scepticism to ensure accurate and quality results A curious thinker who demonstrates interests in a wide range of business and technical subjects Proactive, passionate about building data and innovation solutions Excellent written and verbal communication skills - communicate efficiently and effectively to both technical and non-technical audiences ABOUT RAPP We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency's vision. And most importantly we value every individual's wellbeing. As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs. We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one - but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again. Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02. Us We are true advocates of flexible working with a hybrid working policy of 3 days per week in our incredible South Bank office, next to cultural hubs such as the Tate Modern. We ask you to work where and when you work best. We'll be honest though, we do love seeing people in the office, because it delivers on our Culture, Collaboration and Connection. For Concentration, work where you'll work best. We call it the 4 Cs. Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started. We recognise that the work of diversity, equity and inclusion calls on all of us. That's why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers. The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all. You're better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a "Me" day and an "Us" day, every year. Your "Me" day is for you to invest in yourself - go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix! Your "Us" day is all about giving back and helping others - volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity. We're progressive and always open to new initiatives, for example we've recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn't always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between. Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance. Recruitment process We like to keep recruitment swift, lean, and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus, we have a team on hand to answer questions throughout the process. We are RAPP, and we can't wait to meet you! Do you require sponsorship to work in the UK? I am able to commute to the London Bankside office 3x a week.
causaLens is the pioneer of Causal AI - a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect- it's hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the right place for you. Everything we do is at the forefront of technological advancements, and we are always on the lookout for people to join us whose skills and passion tower above the rest. Since the company was established in 2017, causaLens has: Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here Open sourced two of our internal tools and packages to support the open-source community, see Dara and Causal Graphs . Raised $45 million in Series A funding Been named a leading provider of Causal AI solutions by Gartner - here Included in Otta's 2022 Rocket List as one of the fastest-growing companies to launch your career At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning. Our MissionTo radically advance human decision-making.A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.Head to our website homepage and watch the 'Why Causal AI' video to learn more. The Role We are seeking a talented individual with a unique blend of Machine Learning Engineering and Data Science experience to join our team in a role focused on optimizing the path to production for Data Scientists. This role will primarily involve empowering Data Scientists to independently deploy their work into production. A day in life: Collaborate closely with data scientists to understand their workflow challenges and requirements for deploying their work into production. Develop and enhance mechanisms and processes to streamline the integration of causal AI models into the MLOps workflow, customizing it to suit causality. Design and implement tools, visualizations, and mechanisms that empower data scientists to deploy their work into production autonomously, reducing dependencies on additional teams or assistance. Work directly on integrating key elements of MLOps workflow with causal AI capabilities, ensuring robustness, scalability, and efficiency. Act as a subject matter expert on processes and best practices, providing guidance and support to data scientists on deployment and monitoring. Collaborate with cross-functional teams including data science, software engineering, and product to align technical solutions with business objectives and user needs. This role offers a unique opportunity to leverage expertise in both machine learning engineering and data science to drive transformative changes in empowering data scientists with advanced capabilities in causal AI. If you are passionate about streamlining the path to production for data scientists and accelerating the adoption of causal AI technologies, we encourage you to apply and contribute to our team. You have: Bachelor's or Master's degree in Computer Science, Physics, Maths, or a related field or equivalent industry experience. 3-5 years of professional experience in machine learning engineering, data science, or a related role, with significant exposure to deploying machine learning models into production. Strong proficiency in Python for both machine learning engineering and data science tasks. Experience with MLOps practices, including model deployment, monitoring, version control, and CI/CD pipelines. Proven experience in data pipelining, system architecture, and design for scalable and reliable production environments. Strong communication skills with the ability to convey technical concepts to both technical and non-technical stakeholders. Excellent attention to detail and commitment to delivering high-quality work in a fast-paced environment. About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications, and many others. We may be biased, but we believe you'll be in good company. We offer a hybrid working setup and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you'll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! What we offer We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday, and a good work-life balance, we offer the following: Access to mental health support through Spill Competitive salary 25 days of paid holiday, plus bank holidays Share options Pension scheme Happy hours and team outings Referral bonus program Cycle to work scheme Friendly tech purchases Office snacks and drinks Logistics Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (in-office). We will always be as transparent as possible so please don't hesitate to reach out if you have any questions.
May 18, 2024
Full time
causaLens is the pioneer of Causal AI - a giant leap in machine intelligence. We are on a mission to build truly intelligent machines, machines that truly understand cause and effect- it's hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the right place for you. Everything we do is at the forefront of technological advancements, and we are always on the lookout for people to join us whose skills and passion tower above the rest. Since the company was established in 2017, causaLens has: Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here Open sourced two of our internal tools and packages to support the open-source community, see Dara and Causal Graphs . Raised $45 million in Series A funding Been named a leading provider of Causal AI solutions by Gartner - here Included in Otta's 2022 Rocket List as one of the fastest-growing companies to launch your career At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning. Our MissionTo radically advance human decision-making.A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.Head to our website homepage and watch the 'Why Causal AI' video to learn more. The Role We are seeking a talented individual with a unique blend of Machine Learning Engineering and Data Science experience to join our team in a role focused on optimizing the path to production for Data Scientists. This role will primarily involve empowering Data Scientists to independently deploy their work into production. A day in life: Collaborate closely with data scientists to understand their workflow challenges and requirements for deploying their work into production. Develop and enhance mechanisms and processes to streamline the integration of causal AI models into the MLOps workflow, customizing it to suit causality. Design and implement tools, visualizations, and mechanisms that empower data scientists to deploy their work into production autonomously, reducing dependencies on additional teams or assistance. Work directly on integrating key elements of MLOps workflow with causal AI capabilities, ensuring robustness, scalability, and efficiency. Act as a subject matter expert on processes and best practices, providing guidance and support to data scientists on deployment and monitoring. Collaborate with cross-functional teams including data science, software engineering, and product to align technical solutions with business objectives and user needs. This role offers a unique opportunity to leverage expertise in both machine learning engineering and data science to drive transformative changes in empowering data scientists with advanced capabilities in causal AI. If you are passionate about streamlining the path to production for data scientists and accelerating the adoption of causal AI technologies, we encourage you to apply and contribute to our team. You have: Bachelor's or Master's degree in Computer Science, Physics, Maths, or a related field or equivalent industry experience. 3-5 years of professional experience in machine learning engineering, data science, or a related role, with significant exposure to deploying machine learning models into production. Strong proficiency in Python for both machine learning engineering and data science tasks. Experience with MLOps practices, including model deployment, monitoring, version control, and CI/CD pipelines. Proven experience in data pipelining, system architecture, and design for scalable and reliable production environments. Strong communication skills with the ability to convey technical concepts to both technical and non-technical stakeholders. Excellent attention to detail and commitment to delivering high-quality work in a fast-paced environment. About causaLens Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications, and many others. We may be biased, but we believe you'll be in good company. We offer a hybrid working setup and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you'll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! What we offer We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday, and a good work-life balance, we offer the following: Access to mental health support through Spill Competitive salary 25 days of paid holiday, plus bank holidays Share options Pension scheme Happy hours and team outings Referral bonus program Cycle to work scheme Friendly tech purchases Office snacks and drinks Logistics Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (in-office). We will always be as transparent as possible so please don't hesitate to reach out if you have any questions.
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 18, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the rol Maritime domain awareness and commodity tracking involve the effective fusion of fragmented information that compose the complex commodity flows landscape. When combined efficiently, vessel tracking data and trading history, commodity supply and demand, proprietary trading data, and machine learning algorithms provide an understanding of events at ports and on open seas at different levels of granularity. Rapidly evolving global geopolitical developments and tensions significantly affect trading, disturbing the supply chain and altering commodity flow patterns which brings more uncertainty about the modelling of these phenomena. As a senior data scientist with Kpler's Flows team, you will develop algorithms that extend our comprehension of commodities flows in space and time by devising forecasting models, predicting future trades, detect anomalies in data and anomalous behaviour of various players. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of data science models for flow forecast models and anomaly detection; Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, and effectively handling model and data drift promptly; Building robust pipelines for integrating data from diverse sources, including big geospatial data, ship mobility data, and document recognition; Researching and identifying methods, data sources, and features that will drive business impact and improve models' accuracy in the current scope of ever-changing world-scale commodity trading; As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant, up-to-date methods and technologies. Work across the stack to deliver new features end-to-end, from prototyping, to deployment and caring for data drift in production. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analysis to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produce business value. You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably AWS). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications focusing on geospatial data and mobility analytics (highly desirable). You have proven experience with big data technologies, specifically Spark and Kafka. You have experience working with state-of-art ML pipeline technologies (such as MLflow, Sagemaker ) or building a ML pipeline by yourself (Docker, Kubernetes, Paperspace, Airflow ). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Senior Healthcare Data Scientist (12 Month FTC) London £60,000-£70,000 This is a new opportunity for a Data Scientist to join a management consultancy specialising in Healthcare & Life Sciences THE ROLE As a Senior Data Scientist for the business you will: Dashboarding and reporting for clients - working directly with non-technical stakeholders and external clients Capacity and demand modelling Developing AI across the business to standardise processes, internal tools and increase the use of AI (Gen AI too) Improving automation across the business Population Health analysis SKILLS AND EXPERIENCE Strong academic background to Degree level in a numerical subject Strong commercial experience in a consultative setting Experience working in the healthcare space on relevant topics (population health etc) Good communication skills Tech: Python, SQL, AWS / GCP / Azure SALARY AND BENEFITS Basic salary £60,000-£70,000 Hybrid working Bonus scheme, private healthcare, 25 days holiday, 5% pension 4 study days per year for personal development 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
May 18, 2024
Full time
Senior Healthcare Data Scientist (12 Month FTC) London £60,000-£70,000 This is a new opportunity for a Data Scientist to join a management consultancy specialising in Healthcare & Life Sciences THE ROLE As a Senior Data Scientist for the business you will: Dashboarding and reporting for clients - working directly with non-technical stakeholders and external clients Capacity and demand modelling Developing AI across the business to standardise processes, internal tools and increase the use of AI (Gen AI too) Improving automation across the business Population Health analysis SKILLS AND EXPERIENCE Strong academic background to Degree level in a numerical subject Strong commercial experience in a consultative setting Experience working in the healthcare space on relevant topics (population health etc) Good communication skills Tech: Python, SQL, AWS / GCP / Azure SALARY AND BENEFITS Basic salary £60,000-£70,000 Hybrid working Bonus scheme, private healthcare, 25 days holiday, 5% pension 4 study days per year for personal development 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
Data Scientist I am currently working with the worlds most automated wet wipe manufacturers based in their Flintshire site in North Wales. You will be working on some of the market leading products, looking for a Data Scientist to collate what they have in place. Key responsibilities for the Data Scientist Collate all scientific data for the site and create a platform for this to be visible for internal and external customers and suppliers. Write scientific technical reports in a professional, yet user friendly format. Communicate with various teams and often creating your own data. Be a point of contact for seniors' members of staff for Data trends etc. Requirements for the Data Scientist Hold a Scientific Degree or related degree. 2 Years' experience working within Data Analysis Strong written and verbal communication skills. Benefits for the Data Scientist Free on-site parking. Fantastic career development opportunities. Continuous company growth. Social working hours- No weekends. Early finish on a Friday. To apply for the Data Scientist or here more information, please contact Liam Shannon at Science Solutions Recruitment on .
May 18, 2024
Full time
Data Scientist I am currently working with the worlds most automated wet wipe manufacturers based in their Flintshire site in North Wales. You will be working on some of the market leading products, looking for a Data Scientist to collate what they have in place. Key responsibilities for the Data Scientist Collate all scientific data for the site and create a platform for this to be visible for internal and external customers and suppliers. Write scientific technical reports in a professional, yet user friendly format. Communicate with various teams and often creating your own data. Be a point of contact for seniors' members of staff for Data trends etc. Requirements for the Data Scientist Hold a Scientific Degree or related degree. 2 Years' experience working within Data Analysis Strong written and verbal communication skills. Benefits for the Data Scientist Free on-site parking. Fantastic career development opportunities. Continuous company growth. Social working hours- No weekends. Early finish on a Friday. To apply for the Data Scientist or here more information, please contact Liam Shannon at Science Solutions Recruitment on .
Senior Data Scientist - Inside IR35 (3 month contract) - Hybrid Responsibilities Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors. Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Key requirements BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
May 18, 2024
Contractor
Senior Data Scientist - Inside IR35 (3 month contract) - Hybrid Responsibilities Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors. Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Key requirements BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position. DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Senior Data Scientist - Windsor/Hybrid - 65-75K Austin Fraser is currently supporting a leading company in the food industry that improves the efficiency, quality and safety of food production. They are now looking to on board an experienced Senior Data Scientist on a permanent basis. This is a fantastic opportunity to work with cutting-edge technology in a rapidly growing environment. Location: Windsor / 1 day on site per week. Salary: up to 75K depending on experience. Requirements: Previous experience working as a Data Scientist or Senior Data Scientist (5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
May 17, 2024
Full time
Senior Data Scientist - Windsor/Hybrid - 65-75K Austin Fraser is currently supporting a leading company in the food industry that improves the efficiency, quality and safety of food production. They are now looking to on board an experienced Senior Data Scientist on a permanent basis. This is a fantastic opportunity to work with cutting-edge technology in a rapidly growing environment. Location: Windsor / 1 day on site per week. Salary: up to 75K depending on experience. Requirements: Previous experience working as a Data Scientist or Senior Data Scientist (5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the above criteria and would like to be considered for this position then please click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 My client is looking for a new Data Scientist with experience in Artificial Intelligence and Machine Learning to join a growing development team as a Data and Machine Learning Developer. Your expertise will directly contribute to the advancement of their Immersive technology solutions (working in Unity / C#) and their applications across various sectors. You MUST have Front-end development and Machine Learning experience to be suitable for this position. Requirements: Ph.D. in Computer Science, Data Science, Statistics, or a related field (ideally with an application to human factors, psychology or neuroscience). Prior exposure to and knowledge of physiological sensors, biosensors and data acquisition systems would be an advantage It would be an advantage if you already have SC clearance You also must have been based in the UK for the last 5 years Responsibilities: Experience with programming languages such as Python is needed; familiarity with C# is a plus Create, deploy and refine algorithms that process, analyse, and learn from large psychophysiological data sets Collaborate with team members along with communicating to the relevant stakeholders on technical matters Capable of Integrating Machine Learning models into production systems and deploy them for real-time or batch processing Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
May 17, 2024
Full time
Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 My client is looking for a new Data Scientist with experience in Artificial Intelligence and Machine Learning to join a growing development team as a Data and Machine Learning Developer. Your expertise will directly contribute to the advancement of their Immersive technology solutions (working in Unity / C#) and their applications across various sectors. You MUST have Front-end development and Machine Learning experience to be suitable for this position. Requirements: Ph.D. in Computer Science, Data Science, Statistics, or a related field (ideally with an application to human factors, psychology or neuroscience). Prior exposure to and knowledge of physiological sensors, biosensors and data acquisition systems would be an advantage It would be an advantage if you already have SC clearance You also must have been based in the UK for the last 5 years Responsibilities: Experience with programming languages such as Python is needed; familiarity with C# is a plus Create, deploy and refine algorithms that process, analyse, and learn from large psychophysiological data sets Collaborate with team members along with communicating to the relevant stakeholders on technical matters Capable of Integrating Machine Learning models into production systems and deploy them for real-time or batch processing Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
May 17, 2024
Full time
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Senior Data Scientist - eCommerce Global Luxury Retailer £65k - £75k ? 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
May 17, 2024
Full time
Senior Data Scientist - eCommerce Global Luxury Retailer £65k - £75k ? 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
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
May 17, 2024
Full time
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
Do you want to help design new ways of processing Enterprise scale data at speed, learn leading edge technologies, work on complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series D rocket ship to the next level? Then welcome to Enable What is Enable: Enable is the SaaS rebate management platform that drives trusted relationships between B2B trading partners. We create money for our customers by providing them with the technology solutions to automatically detect and report on rebate due. Customers configure their deals, Enable ingests and process all their sales transactions, allowing them to find rebates they are owed that they would otherwise have missed. All this has major challenges, we process enormous amounts of data in very short time frames, performing billions of calculations per customer and storing it all in Enterprise scale databases. We provide customers with reporting, deal editing and collaboration capabilities. There are no standard techniques for doing this, we are the market leader, and we create new solutions every day. We launched our flagship product in 2016 and have raised $276m to date in Series A, B, C & D funding. We are continually growing our client base, product portfolio and hyper-talented team. We're seeking an experienced Senior Data scientist to drive the creation of AI and ML products and tools within a prominent SAAS tech company. This pivotal applied AI product role will work to strategically integrate AI solutions across products and business operations. ML has allowed for vastly improved data insights and solutions, while the use of LLM's have radicalised the need for leveragingAI tools in solving some fundamental problems of our industry. We are looking for a senior scientist to work with our product and engineering teams to bring these to life. Role and Responsibilities: Craft and execute a robust AI strategy aligned with business goals. Implement AI innovations across various products and services. Collaborate with Engineering leadership to integrate AI seamlessly into existing offerings. Liaise with stakeholders to align AI initiatives with company objectives and communicate outcomes effectively. Ensure ethical AI applications in compliance with legal and industry standards. Advise on AI implementation strategies to senior leadership. Work with Product Management and Engineering leadership to produce a rolling roadmap for the production of AI and ML tools and products Work with data engineering to create a world class data platform build to unlock the power of AI Experience and Qualifications: Advanced degree in computer science, engineering, or related field. Minimum 8 years of AI/ML experience Proven track record in building and releasing AI/ML commercial products and services Proficiency in Python, R, and Java, along with AI/ML algorithms and data modelling. Strong problem-solving, analytical, and project management skills. Excellent communication and cross-functional collaboration abilities. Demonstrable AI projects showcasing innovation and business impact. Enable Global Inc provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Enable complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Enable expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Enable employees to perform their expected job duties is absolutely not tolerated.
May 17, 2024
Full time
Do you want to help design new ways of processing Enterprise scale data at speed, learn leading edge technologies, work on complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series D rocket ship to the next level? Then welcome to Enable What is Enable: Enable is the SaaS rebate management platform that drives trusted relationships between B2B trading partners. We create money for our customers by providing them with the technology solutions to automatically detect and report on rebate due. Customers configure their deals, Enable ingests and process all their sales transactions, allowing them to find rebates they are owed that they would otherwise have missed. All this has major challenges, we process enormous amounts of data in very short time frames, performing billions of calculations per customer and storing it all in Enterprise scale databases. We provide customers with reporting, deal editing and collaboration capabilities. There are no standard techniques for doing this, we are the market leader, and we create new solutions every day. We launched our flagship product in 2016 and have raised $276m to date in Series A, B, C & D funding. We are continually growing our client base, product portfolio and hyper-talented team. We're seeking an experienced Senior Data scientist to drive the creation of AI and ML products and tools within a prominent SAAS tech company. This pivotal applied AI product role will work to strategically integrate AI solutions across products and business operations. ML has allowed for vastly improved data insights and solutions, while the use of LLM's have radicalised the need for leveragingAI tools in solving some fundamental problems of our industry. We are looking for a senior scientist to work with our product and engineering teams to bring these to life. Role and Responsibilities: Craft and execute a robust AI strategy aligned with business goals. Implement AI innovations across various products and services. Collaborate with Engineering leadership to integrate AI seamlessly into existing offerings. Liaise with stakeholders to align AI initiatives with company objectives and communicate outcomes effectively. Ensure ethical AI applications in compliance with legal and industry standards. Advise on AI implementation strategies to senior leadership. Work with Product Management and Engineering leadership to produce a rolling roadmap for the production of AI and ML tools and products Work with data engineering to create a world class data platform build to unlock the power of AI Experience and Qualifications: Advanced degree in computer science, engineering, or related field. Minimum 8 years of AI/ML experience Proven track record in building and releasing AI/ML commercial products and services Proficiency in Python, R, and Java, along with AI/ML algorithms and data modelling. Strong problem-solving, analytical, and project management skills. Excellent communication and cross-functional collaboration abilities. Demonstrable AI projects showcasing innovation and business impact. Enable Global Inc provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Enable complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Enable expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Enable employees to perform their expected job duties is absolutely not tolerated.
Job Description The Specialized Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. The successful candidate will work as an analytical individual contributor under Institutional Credit Management - Portfolio Management - Analytics and Infrastructure Data Science team. The team is staffed with a group of data, analytics, Artificial Intelligence and technology professionals from multiple geo-locations: London, Singapore and Hong Kong. The team serves a in-business analytics and technology function to provide best-in-class analytics and AI solution and implementation for other ICM PM functions comprised of subject matter expert from Credit Risk and Business domain including Portfolio Health Monitoring, Covenant Monitoring, Exception Management, Limits Management, Early Warning Credit Management and Counterparty Credit Risk. Responsibilities Drive AI/Machine Learning development and implementation especially around Generative AI Large Language Model for Wholesale Lending and Counterparty Credit Risk analytics. Work independently or collaboratively (depending on the circumstance) to help business stakeholders to identify analytical/technical opportunities to improve the existing process or address existing pain points. Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of credit risk strategies using a variety of programing and AI tools (e.g. SQL, Python, C, Spark, Sikilearn, Tensorflow, PyTorch, HuggingFace, Large Language Model etc.). Design and implement Early Warning Indicators for Credit Risk, Counterparty Risk, Portfolio Health, Covenant Monitoring using either traditional statistical approach or advanced AI/ML modeling, graph analytics approach. Design and implement statistical and risk-driven solution for Limits Management and Exception Management. Be actively involved in and responsible for elements of the design / implementation / coding of feature driven analytic models, including data structure / design to support the delivery of such. Responsible for all the Risk and Controls requirement in analytics or technical process such as documentation, testing, and ongoing performance monitoring. Qualifications 6-10 years of working experience in AI/ML domain preferably in Finance/Risk analytics field Must have demonstrated ability in programing skills using Python/C/SQL/Spark for data processing and data analytics. Must have solid knowledge and implementation experience of basic AI/Machine Learning such as Logistics Regression, Support Vector Machine, Random Forrest, Isolation Forrest, XGBoost. Must have solid knowledge and implementation experience of Large Language Model pipeline: Pre-trained LLM (such as Llama, Mistral), GPT, RAG, Fine-tuning, Prompt Engineering. Vector DB, LangChain, LlamaIndex etc. Working knowledge of Graph Analytics and the relevant tools such as TigerGraph, Neo4j etc. will be a huge plus. Working experience in Wholesale Credit Risk (Lending or Counterparty) analytics is not a must but a plus. Excellent analytic ability and problem solving skills. Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment Education • Bachelors/University degree, Master's degree preferred Job Family Group: Decision Management Job Family: Specialized Analytics (Data Science/Computational Statistics) Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting
May 17, 2024
Full time
Job Description The Specialized Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. The successful candidate will work as an analytical individual contributor under Institutional Credit Management - Portfolio Management - Analytics and Infrastructure Data Science team. The team is staffed with a group of data, analytics, Artificial Intelligence and technology professionals from multiple geo-locations: London, Singapore and Hong Kong. The team serves a in-business analytics and technology function to provide best-in-class analytics and AI solution and implementation for other ICM PM functions comprised of subject matter expert from Credit Risk and Business domain including Portfolio Health Monitoring, Covenant Monitoring, Exception Management, Limits Management, Early Warning Credit Management and Counterparty Credit Risk. Responsibilities Drive AI/Machine Learning development and implementation especially around Generative AI Large Language Model for Wholesale Lending and Counterparty Credit Risk analytics. Work independently or collaboratively (depending on the circumstance) to help business stakeholders to identify analytical/technical opportunities to improve the existing process or address existing pain points. Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of credit risk strategies using a variety of programing and AI tools (e.g. SQL, Python, C, Spark, Sikilearn, Tensorflow, PyTorch, HuggingFace, Large Language Model etc.). Design and implement Early Warning Indicators for Credit Risk, Counterparty Risk, Portfolio Health, Covenant Monitoring using either traditional statistical approach or advanced AI/ML modeling, graph analytics approach. Design and implement statistical and risk-driven solution for Limits Management and Exception Management. Be actively involved in and responsible for elements of the design / implementation / coding of feature driven analytic models, including data structure / design to support the delivery of such. Responsible for all the Risk and Controls requirement in analytics or technical process such as documentation, testing, and ongoing performance monitoring. Qualifications 6-10 years of working experience in AI/ML domain preferably in Finance/Risk analytics field Must have demonstrated ability in programing skills using Python/C/SQL/Spark for data processing and data analytics. Must have solid knowledge and implementation experience of basic AI/Machine Learning such as Logistics Regression, Support Vector Machine, Random Forrest, Isolation Forrest, XGBoost. Must have solid knowledge and implementation experience of Large Language Model pipeline: Pre-trained LLM (such as Llama, Mistral), GPT, RAG, Fine-tuning, Prompt Engineering. Vector DB, LangChain, LlamaIndex etc. Working knowledge of Graph Analytics and the relevant tools such as TigerGraph, Neo4j etc. will be a huge plus. Working experience in Wholesale Credit Risk (Lending or Counterparty) analytics is not a must but a plus. Excellent analytic ability and problem solving skills. Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment Education • Bachelors/University degree, Master's degree preferred Job Family Group: Decision Management Job Family: Specialized Analytics (Data Science/Computational Statistics) Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting
Senior Software Engineer - Optimise how scientists work! London Roles we're searching for now: - Software Engineering / Did you know that the wider scientific community lack the use of sophisticated AI/ML technology in their processing software? Our client is an early-stage Y Combinator startup whose software has helped scientists reduce the time taken to develop bio-processes by 10x and optimise what matters most; preventing the loss of and improving lives! We're looking for Senior and Staff level software engineers to join as founding engineers and to lead the development of an all-in-one data analytics platform. This will help scientists leverage the power of intelligent databases, elegant visualisations and ML models. Tech stack: TypeScript, Node, Postgres, GraphQL, React and GCP. Location: London Bridge (with remote working flexibility)
May 17, 2024
Full time
Senior Software Engineer - Optimise how scientists work! London Roles we're searching for now: - Software Engineering / Did you know that the wider scientific community lack the use of sophisticated AI/ML technology in their processing software? Our client is an early-stage Y Combinator startup whose software has helped scientists reduce the time taken to develop bio-processes by 10x and optimise what matters most; preventing the loss of and improving lives! We're looking for Senior and Staff level software engineers to join as founding engineers and to lead the development of an all-in-one data analytics platform. This will help scientists leverage the power of intelligent databases, elegant visualisations and ML models. Tech stack: TypeScript, Node, Postgres, GraphQL, React and GCP. Location: London Bridge (with remote working flexibility)
HeliosX is one of the world's fastest growing HealthTech companies. We're committed to improving the quality, accessibility, and affordability of healthcare for everyone. In 2013, our Founder Dwayne D'Souza recognised the need for prescription healthcare to catch up with other industries by taking advantage of technological innovations - to enable rapid delivery of medications and improved customer convenience. Since our founding, we've been entirely bootstrapped - we achieved product-market fit and profitability without ANY external funding whatsoever. Our mission is to help people across the world get the medications they need, faster. Through our sites and platforms, customers can conveniently access prescription medications and treatments to treat a range of health problems, as well as purchase clinical-grade, personalised skincare. We have dedicated in-house clinical teams authorised to prescribe medications, and we own a pharma business capable of manufacturing many of the medicines and skincare products we provide. We're an in-house, Direct-To-Consumer (D2C) proposition all the way down - and we're passionate about that approach. Our revenue reached a record $76 million USD last year, with unprecedented 32% year-on-year growth. With a 40% year-on-year growth target for 2024, it's an exciting time to be part of the HeliosX journey. Come and help in making access to medication quicker and easier than ever before in human history! The Opportunity The Data Engineering team at HeliosX is on a mission to accelerate decision making and empower the business with the strategic insights necessary to ensure our continued success. Data has played a critical role in our growth so far and will continue to do so in 2024 as we begin scaling our brands and services internationally. What you'll be doing: Acting as the first point of contact for ML models in production, with monitoring and alerting in place and a process to respond. Creating new models, refreshing models and working with engineers to productionise these models. Providing visibility on ML models KPIs. Exploring datasets to create new features that improve model performance. Communicating findings and insights to stakeholders (Product / Growth) with regards to the factors that impact business outcomes. What you'll bring to HeliosX Advanced degree in Statistics, Computer Science, or a related field, with a strong foundation in statistical modelling and machine learning. At least 5 years of professional experience in a data science or similar role. Expertise in Python, Jupyter Notebooks, SageMaker (or similar), and familiarity with MLFlow or equivalent model management tools. Extensive experience in developing and deploying machine learning models in production, preferably within B2C, online retail or similar sectors. Proven track record of strategic model development, from conception through to production and impact measurement. Demonstrated technical leadership within data science projects, with the ability to mentor more junior team members or develop talent within a growing team. Exceptional problem-solving skills, with a keen ability to apply data science for tangible business advantage. Strong project management skills, comfortable leading agile projects with changing priorities and tight deadlines. Excellent communication skills, with experience in presenting technical details to non-technical audiences. Whilst not a requirement, any of the following would be considered advantageous: Deep understanding of ethical considerations in data science, including privacy, fairness, and bias mitigation. Publications in relevant data science fields or contributions to open-source projects. Experience with innovative data science techniques, including AI and deep learning, and their application in solving business problems. Background or interest in e-commerce or Health Tech, with an understanding of the specific data challenges and opportunities it presents. Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription) Do you possess a legal right to work in the UK? This role is office based in Central London 2 days per week, with the rest of the time spent working from home. Please confirm you are happy with this arrangement?
May 17, 2024
Full time
HeliosX is one of the world's fastest growing HealthTech companies. We're committed to improving the quality, accessibility, and affordability of healthcare for everyone. In 2013, our Founder Dwayne D'Souza recognised the need for prescription healthcare to catch up with other industries by taking advantage of technological innovations - to enable rapid delivery of medications and improved customer convenience. Since our founding, we've been entirely bootstrapped - we achieved product-market fit and profitability without ANY external funding whatsoever. Our mission is to help people across the world get the medications they need, faster. Through our sites and platforms, customers can conveniently access prescription medications and treatments to treat a range of health problems, as well as purchase clinical-grade, personalised skincare. We have dedicated in-house clinical teams authorised to prescribe medications, and we own a pharma business capable of manufacturing many of the medicines and skincare products we provide. We're an in-house, Direct-To-Consumer (D2C) proposition all the way down - and we're passionate about that approach. Our revenue reached a record $76 million USD last year, with unprecedented 32% year-on-year growth. With a 40% year-on-year growth target for 2024, it's an exciting time to be part of the HeliosX journey. Come and help in making access to medication quicker and easier than ever before in human history! The Opportunity The Data Engineering team at HeliosX is on a mission to accelerate decision making and empower the business with the strategic insights necessary to ensure our continued success. Data has played a critical role in our growth so far and will continue to do so in 2024 as we begin scaling our brands and services internationally. What you'll be doing: Acting as the first point of contact for ML models in production, with monitoring and alerting in place and a process to respond. Creating new models, refreshing models and working with engineers to productionise these models. Providing visibility on ML models KPIs. Exploring datasets to create new features that improve model performance. Communicating findings and insights to stakeholders (Product / Growth) with regards to the factors that impact business outcomes. What you'll bring to HeliosX Advanced degree in Statistics, Computer Science, or a related field, with a strong foundation in statistical modelling and machine learning. At least 5 years of professional experience in a data science or similar role. Expertise in Python, Jupyter Notebooks, SageMaker (or similar), and familiarity with MLFlow or equivalent model management tools. Extensive experience in developing and deploying machine learning models in production, preferably within B2C, online retail or similar sectors. Proven track record of strategic model development, from conception through to production and impact measurement. Demonstrated technical leadership within data science projects, with the ability to mentor more junior team members or develop talent within a growing team. Exceptional problem-solving skills, with a keen ability to apply data science for tangible business advantage. Strong project management skills, comfortable leading agile projects with changing priorities and tight deadlines. Excellent communication skills, with experience in presenting technical details to non-technical audiences. Whilst not a requirement, any of the following would be considered advantageous: Deep understanding of ethical considerations in data science, including privacy, fairness, and bias mitigation. Publications in relevant data science fields or contributions to open-source projects. Experience with innovative data science techniques, including AI and deep learning, and their application in solving business problems. Background or interest in e-commerce or Health Tech, with an understanding of the specific data challenges and opportunities it presents. Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription) Do you possess a legal right to work in the UK? This role is office based in Central London 2 days per week, with the rest of the time spent working from home. Please confirm you are happy with this arrangement?