What is Raytheon’s Strategic Research Group (SRG)? Part of Raytheon UK’s Cyber and Intelligence (C&I) business, the Strategic Research Group (SRG) is a multi-disciplinary expert team focused on next-gen research in artificial intelligence, security research and cloud technology. SRG is not yet another software team building enterprise solutions. The group operate at the cutting edge of technology and research, applying world class research to customer-relevant challenges in order to create unique prototypes, genuine expertise and valuable hands-on skills. Established in Jan 2019, SRG was created to focus Raytheon’s efforts on next-generation technologies critical to create the future capabilities our customers demand. In the short time since the group was established, greats success - both technically and commercially - has been achieved. As a result of these successes, SRG is seeking to grow, allowing the group to tackle more challenges and deliver further successes. What makes SRG different? SRG is an expert group, made of a team of people with a broad skills, expertise and experience. The team includes post-doctorate researchers, experienced data scientists and engineers with customer knowledge, security research and machine learning expertise. SRG’s culture sets it apart from many other teams. It is vital to how the group operates and to its success. SRG values creating and sharing tangible results over creating overly detailed plans and excessive PowerPoint presentations. The team deliver a mix of internally funded research and customer funded projects. SRG work on a ‘cloud first’ basis - AWS, Atlassian, GitHub, Slack are main productivity tools. SRG is collaborative, supportive and independent. Above all, every member of the group strives to delight and impress our stakeholders, taking great pride in their work. Data Engineer Work Location – Gloucester Essential Behaviours & Attitude Effective Communicator .
Clear regular updates, reports and
Able to successfully present work to technical and non-technical audiences
Team working and collaboration.
Track record working with colleagues to solve challenges
Ability to provide advice and assistance to technical and non-technical colleagues to help solve problems.
Willingness to learn and work across boundaries.
Delivery .
Hands-on experience designing, creating, building Hadoop-based solutions
Strong experience with modern software engineering approaches and best practices.
Core Technical Skills We expect:
Hands on experience building and operating Hadoop eco-system solutions
Experience creating production-grade data processing workloads, including data ingest, extraction and transform, storage and analysis
Proven track record designing, developing and deploying bespoke analytics on Cloudera tech stack
Proficient in Python and/or Java
Broader Experience SRG welcomes individuals with a broad range of experiences, diverse careers and technical qualifications. Such diversity of thought is an asset, and broad career experience is values. In addition to the core skills and behaviours, the following experience is desirable:
Cloudera certification e.g. CCP Data Engineer.
Familiarity with modern software engineering practices, e.g. DevSecOps, MLOps
Proficiency with engineering automation tools
Experience working in the Defence and National Security domain, in particular direct experience working with UK Government customers.
Experience working with large, unstructured, complex datasets.
Experience with wider persistence technologies (e.g. Elastic, Mongo, Accumulo).
Kaggle participation, or evidence of proactive self-development and self-directed learning.
17/02/2020
Full time
What is Raytheon’s Strategic Research Group (SRG)? Part of Raytheon UK’s Cyber and Intelligence (C&I) business, the Strategic Research Group (SRG) is a multi-disciplinary expert team focused on next-gen research in artificial intelligence, security research and cloud technology. SRG is not yet another software team building enterprise solutions. The group operate at the cutting edge of technology and research, applying world class research to customer-relevant challenges in order to create unique prototypes, genuine expertise and valuable hands-on skills. Established in Jan 2019, SRG was created to focus Raytheon’s efforts on next-generation technologies critical to create the future capabilities our customers demand. In the short time since the group was established, greats success - both technically and commercially - has been achieved. As a result of these successes, SRG is seeking to grow, allowing the group to tackle more challenges and deliver further successes. What makes SRG different? SRG is an expert group, made of a team of people with a broad skills, expertise and experience. The team includes post-doctorate researchers, experienced data scientists and engineers with customer knowledge, security research and machine learning expertise. SRG’s culture sets it apart from many other teams. It is vital to how the group operates and to its success. SRG values creating and sharing tangible results over creating overly detailed plans and excessive PowerPoint presentations. The team deliver a mix of internally funded research and customer funded projects. SRG work on a ‘cloud first’ basis - AWS, Atlassian, GitHub, Slack are main productivity tools. SRG is collaborative, supportive and independent. Above all, every member of the group strives to delight and impress our stakeholders, taking great pride in their work. Data Engineer Work Location – Gloucester Essential Behaviours & Attitude Effective Communicator .
Clear regular updates, reports and
Able to successfully present work to technical and non-technical audiences
Team working and collaboration.
Track record working with colleagues to solve challenges
Ability to provide advice and assistance to technical and non-technical colleagues to help solve problems.
Willingness to learn and work across boundaries.
Delivery .
Hands-on experience designing, creating, building Hadoop-based solutions
Strong experience with modern software engineering approaches and best practices.
Core Technical Skills We expect:
Hands on experience building and operating Hadoop eco-system solutions
Experience creating production-grade data processing workloads, including data ingest, extraction and transform, storage and analysis
Proven track record designing, developing and deploying bespoke analytics on Cloudera tech stack
Proficient in Python and/or Java
Broader Experience SRG welcomes individuals with a broad range of experiences, diverse careers and technical qualifications. Such diversity of thought is an asset, and broad career experience is values. In addition to the core skills and behaviours, the following experience is desirable:
Cloudera certification e.g. CCP Data Engineer.
Familiarity with modern software engineering practices, e.g. DevSecOps, MLOps
Proficiency with engineering automation tools
Experience working in the Defence and National Security domain, in particular direct experience working with UK Government customers.
Experience working with large, unstructured, complex datasets.
Experience with wider persistence technologies (e.g. Elastic, Mongo, Accumulo).
Kaggle participation, or evidence of proactive self-development and self-directed learning.
At Atkins, we help our clients achieve genuine benefits from their business programmes. We advise at senior levels on complex business challenges, but also take a hands-on role to ensure the solutions are actually delivered and that the intended benefits of the investment are realised.
Atkins isn’t like other management consultancies. Because of our wider, real-world expertise – delivering transformative projects and making strategies happen across public and private sectors – we know how to implement change in practice, not just on paper. We’re there to see change through from start to finish, whatever challenges arise. Our clients value the fact the we deliver at pace using the latest Digital and Agile methods, whilst applying discipline and care around complex infrastructure and government programmes of national importance. In short, we deliver rapid results in the most challenging of environments.
Helping our clients change their businesses in response to internal and external influences and opportunities is a core skill for our Business Analysts. We work with clients to solve some of the most interesting challenges facing organisations today, from augmented reality to artificial intelligence. Our wide-ranging clients include central government, defence, airports, universities and infrastructure. The team comes from diverse backgrounds that cover the spectrum of services giving them an innovative and creative approach that is key to its success. Everyone in the team is passionate about their work and the value that they can deliver.
Atkins set high standards of integrity and ethics for our people. When joining Atkins, you benefit from a working environment that prioritises integrity and we also expect each individual who joins us to display these characteristics.
The role You will be given significant responsibility and exposure to our clients and be expected to act as an ambassador for our business. You will be accountable for the overall quality and timeliness of the delivery of assignments and the role may also require you to lead an Atkins team responsible for specific project outputs. Our consultants are also expected to help develop and grow our business. This may include contributing to bids or managing a bid team, and developing new business propositions or researching potential new markets. We want you to help us grow our business by:
Managing and working within multi-disciplinary teams (at our clients’ premises and in our Atkins’ offices) to deliver excellent results for or clients.
Leading the analysis of processes and operations, using appropriate tools and techniques to identify improvements and/or efficiencies in accordance with client objectives. This will include facilitating workshops to engage people, gathering inputs to your analysis and sharing emerging ideas and conclusions.
Preparing reports and presenting to a range of client stakeholders.
Contributing to the development of Operational Improvement tools, techniques and methods that can be shared to build capabilities within our Operational Improvement team and Business Consulting practice.
Contributing to sales – including bid development and sales presentations to clients.
Supporting the development and delivery of marketing campaigns.
We are looking to grow our team and are looking for people across two main roles: Consultant level - ideal for those at the early stage of their career, technical, academically qualified applicants who are keen to pursue a career in Business Consulting and for those who are looking to transfer their previous experience into a consultancy environment Senior Consultant level - for those with existing Business Consulting experience and for those who are looking to transfer significant previous experience into a consultancy environment About you You may have started your career at another consultancy and are looking to move somewhere with a different approach more tailored to client need. Alternatively, you may have successfully delivered from within a company and now feel ready to expand your own skills and work in a more project based way to advise others. The successful candidate will be given significant responsibility for client-facing work from day one. All our consultants are expected to have regular interactions with clients, to lead work-streams or projects, and to support senior colleagues in delivering specific project outputs. We therefore ask that you demonstrate capability and experience of Business Consulting delivery and / or have the potential to do so across four dimensions: Client interaction You build trusted and lasting relationships with clients at all levels in a business environment You have relevant sector experience – e.g. central government, defence, education, transport Technical delivery You have at least a degree or equivalent qualification and may hold, or be working towards, a professional qualification (such as ISEB Diploma in Business Analysis or IIBA accreditation) You have strong written communication skills and the ability to write documents which are compelling, engaging and unambiguous You demonstrate high level of problem-solving ability in relation to technically complex or conceptually abstract ideas You present complex solutions and concepts effectively and make persuasive cases based on analysis You have a variety of consulting capabilities and techniques to suit different situations. These might include strategy development, research, analysis, organisational development, culture change, IT-enabled change, business process analysis, change impact assessment, coaching and/or mentoring; training development and delivery It would be advantageous to have experience of creating deliverables using recognised modelling standards and notations. It would also be desirable to have knowledge and practical experience of recognised modelling products (e.g. ARIS, BizzDesign) Practice and service development You are an excellent team player with the ability to communicate and engage at all levels with a variety of stakeholders You can demonstrate an ability to transfer skills and knowledge to colleagues You are proactive in your approach to work and enjoy working with a variety of people as well as being comfortable with progressing work independently Business development You either have experience or potential to support or contribute to the sale of Business Consulting work – including bid development and presentation delivery You have strong commercial acumen and are comfortable with managing bids and end to end assignment financial management Additionally, you will display the following characteristics; A passion for developing technically, professionally and behaviourally A collaborative team-player who delivers great results and operates to high behavioural standards and business ethics An ability to deal with competing tasks and operate successfully even when under pressure A strong emotional intelligence and the ability to flex your style to suit different stakeholders, and is confident and self-assured in putting forward your views and able to hold your own with senior stakeholders Ideally you will have a relevant degree and/or relevant professional qualification (such as BCS CITP status, ISEB Diploma in Business Analysis or IIBA accreditation). You will have experience of agile and waterfall delivery, and possibly how the BA works in a DevOps environment. Why work for Atkins? With Atkins you will be in a trusted, supported position, primarily client based, where you are able to apply both existing skills and develop new skills in complex and challenging situations. You will be able to share your knowledge and experience and learn from others within the team and you will have opportunities to become a mature, established and multi-skilled consultant. Please note that we will relocate from our current London office in Euston Tower to the Nova North building in Victoria in the first quarter of 2019. Rewards and benefits Atkins recognises the importance of helping its employees manage their work and home life by offering flexible working arrangements that enable them to balance their working life with parental and other caring responsibilities. For full details of our flexible working scheme and benefits package, please refer to our website. Security This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary it will be discussed with you at interview. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance
15/02/2020
Full time
At Atkins, we help our clients achieve genuine benefits from their business programmes. We advise at senior levels on complex business challenges, but also take a hands-on role to ensure the solutions are actually delivered and that the intended benefits of the investment are realised.
Atkins isn’t like other management consultancies. Because of our wider, real-world expertise – delivering transformative projects and making strategies happen across public and private sectors – we know how to implement change in practice, not just on paper. We’re there to see change through from start to finish, whatever challenges arise. Our clients value the fact the we deliver at pace using the latest Digital and Agile methods, whilst applying discipline and care around complex infrastructure and government programmes of national importance. In short, we deliver rapid results in the most challenging of environments.
Helping our clients change their businesses in response to internal and external influences and opportunities is a core skill for our Business Analysts. We work with clients to solve some of the most interesting challenges facing organisations today, from augmented reality to artificial intelligence. Our wide-ranging clients include central government, defence, airports, universities and infrastructure. The team comes from diverse backgrounds that cover the spectrum of services giving them an innovative and creative approach that is key to its success. Everyone in the team is passionate about their work and the value that they can deliver.
Atkins set high standards of integrity and ethics for our people. When joining Atkins, you benefit from a working environment that prioritises integrity and we also expect each individual who joins us to display these characteristics.
The role You will be given significant responsibility and exposure to our clients and be expected to act as an ambassador for our business. You will be accountable for the overall quality and timeliness of the delivery of assignments and the role may also require you to lead an Atkins team responsible for specific project outputs. Our consultants are also expected to help develop and grow our business. This may include contributing to bids or managing a bid team, and developing new business propositions or researching potential new markets. We want you to help us grow our business by:
Managing and working within multi-disciplinary teams (at our clients’ premises and in our Atkins’ offices) to deliver excellent results for or clients.
Leading the analysis of processes and operations, using appropriate tools and techniques to identify improvements and/or efficiencies in accordance with client objectives. This will include facilitating workshops to engage people, gathering inputs to your analysis and sharing emerging ideas and conclusions.
Preparing reports and presenting to a range of client stakeholders.
Contributing to the development of Operational Improvement tools, techniques and methods that can be shared to build capabilities within our Operational Improvement team and Business Consulting practice.
Contributing to sales – including bid development and sales presentations to clients.
Supporting the development and delivery of marketing campaigns.
We are looking to grow our team and are looking for people across two main roles: Consultant level - ideal for those at the early stage of their career, technical, academically qualified applicants who are keen to pursue a career in Business Consulting and for those who are looking to transfer their previous experience into a consultancy environment Senior Consultant level - for those with existing Business Consulting experience and for those who are looking to transfer significant previous experience into a consultancy environment About you You may have started your career at another consultancy and are looking to move somewhere with a different approach more tailored to client need. Alternatively, you may have successfully delivered from within a company and now feel ready to expand your own skills and work in a more project based way to advise others. The successful candidate will be given significant responsibility for client-facing work from day one. All our consultants are expected to have regular interactions with clients, to lead work-streams or projects, and to support senior colleagues in delivering specific project outputs. We therefore ask that you demonstrate capability and experience of Business Consulting delivery and / or have the potential to do so across four dimensions: Client interaction You build trusted and lasting relationships with clients at all levels in a business environment You have relevant sector experience – e.g. central government, defence, education, transport Technical delivery You have at least a degree or equivalent qualification and may hold, or be working towards, a professional qualification (such as ISEB Diploma in Business Analysis or IIBA accreditation) You have strong written communication skills and the ability to write documents which are compelling, engaging and unambiguous You demonstrate high level of problem-solving ability in relation to technically complex or conceptually abstract ideas You present complex solutions and concepts effectively and make persuasive cases based on analysis You have a variety of consulting capabilities and techniques to suit different situations. These might include strategy development, research, analysis, organisational development, culture change, IT-enabled change, business process analysis, change impact assessment, coaching and/or mentoring; training development and delivery It would be advantageous to have experience of creating deliverables using recognised modelling standards and notations. It would also be desirable to have knowledge and practical experience of recognised modelling products (e.g. ARIS, BizzDesign) Practice and service development You are an excellent team player with the ability to communicate and engage at all levels with a variety of stakeholders You can demonstrate an ability to transfer skills and knowledge to colleagues You are proactive in your approach to work and enjoy working with a variety of people as well as being comfortable with progressing work independently Business development You either have experience or potential to support or contribute to the sale of Business Consulting work – including bid development and presentation delivery You have strong commercial acumen and are comfortable with managing bids and end to end assignment financial management Additionally, you will display the following characteristics; A passion for developing technically, professionally and behaviourally A collaborative team-player who delivers great results and operates to high behavioural standards and business ethics An ability to deal with competing tasks and operate successfully even when under pressure A strong emotional intelligence and the ability to flex your style to suit different stakeholders, and is confident and self-assured in putting forward your views and able to hold your own with senior stakeholders Ideally you will have a relevant degree and/or relevant professional qualification (such as BCS CITP status, ISEB Diploma in Business Analysis or IIBA accreditation). You will have experience of agile and waterfall delivery, and possibly how the BA works in a DevOps environment. Why work for Atkins? With Atkins you will be in a trusted, supported position, primarily client based, where you are able to apply both existing skills and develop new skills in complex and challenging situations. You will be able to share your knowledge and experience and learn from others within the team and you will have opportunities to become a mature, established and multi-skilled consultant. Please note that we will relocate from our current London office in Euston Tower to the Nova North building in Victoria in the first quarter of 2019. Rewards and benefits Atkins recognises the importance of helping its employees manage their work and home life by offering flexible working arrangements that enable them to balance their working life with parental and other caring responsibilities. For full details of our flexible working scheme and benefits package, please refer to our website. Security This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary it will be discussed with you at interview. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance
This is an exciting opportunity for an experienced Business Development Director to play a pivotal role driving the acquisition of services business across many established areas of service capability, taking a full commercial management role throughout the life-cycle of these large accounts as well as focusing on new business opportunities. This is a quota carrying role for an experienced leader in Artificial Intelligence to drive pipeline. The successful candidate will capitalise on their rounded experience in IT consulting sales and delivery alongside our clients’ established reputation, to compete for medium to large (£2.5m - £5m) IT Services engagements. Key Responsibilities:
Work with the CTO to develop the ‘go to market’ strategy of the new AI practice and take responsibility for all sales & marketing related activities
Develop AI business with new customers particularly in the commercial sectors, as well as in existing accounts
Assist the team in defining compelling AI offerings to take to market
Build awareness of existing AI capability among our customer base & partners; look for early sales wins to build credibility internally & externally
Identify early adopters across the existing customer base
Promote an award-winning AI / Fraud Detection project (recent winner of the UK AI Public Sector Project of the Year) and identify other stories and campaigns to lead into the base
Engage with our sales and account teams to build awareness, agree sales model and key sales messages
Contribute to key account planning sessions to ensure AI capability is well promoted and positioned for success
Develop key commercial partnerships in the area of AI including global tech partners Microsoft and AWS but also emerging disrupters and influencers
Manage and report on progress against clear financial targets including revenue, sales (SOV) and pipeline
Background Experience: You will be an experienced IT services sales professional with an established network and reputation in the emerging Artificial Intelligence sector. Your experience will allow you to appropriately navigate the procurement cycle, successfully establishing reputation, qualifying, pursuing and tendering for medium to large scale IT Services engagements. It is likely that your background will be in systems integration with a specific focus towards advanced enterprise data analytics, predictive analytics, data science and machine learning. Skills and experiences will include:
Drive and capability to lead sales delivery and be accountable for delivering against an annuity / services revenue target circa £5m
Demonstrable commercial experience in Artificial Intelligence solutions and services sales
Strong commercial awareness and the ability to manage the negotiation of complex IT services / solutions engagements, typically seeking to establish a small footprint to demonstrate capability through proof of concept as a foundation from which to grow
Deep understanding of the technology trends and market dynamics affecting the global Artificial Intelligence industry
A proven background in new business development, sales management and pipeline conversion gained with an established IT Systems Integration / IT Solutions environment
Intimacy with the commercial delivery of IT services business, preferably having come from a career background in software engineering and project management
Deep appreciation / for the opportunities afforded by the emergence of Artificial Intelligence and its practical application to commercially viable client solutions
Exceptional communication skills including comfort presenting at CxO level and the ability to lead the development of marketing collateral and bid content
Additional Information:
Applications are only invited from candidates with the right to reside and work within the EU
Candidates must be willing to travel extensively for the purposes of meeting clients and collaborating with colleagues
Salary Offered: to £120k (base) + Executive Benefits and Bonus up to 60% for on target performance
Location: This position may be based from London, Birmingham or Northern Ireland
Our Client... ... is a ‘Digital Leader’ in the UK IT Services marketplace. A member of the FTSE250 , employing >1,750 professionals and holding an enviable track record for providing digital technology services, our client is an established leader with ambition plans to further its reputation and reach through the development of a dedicated Artificial Intelligence (AI) services and solutions business
15/02/2020
Full time
This is an exciting opportunity for an experienced Business Development Director to play a pivotal role driving the acquisition of services business across many established areas of service capability, taking a full commercial management role throughout the life-cycle of these large accounts as well as focusing on new business opportunities. This is a quota carrying role for an experienced leader in Artificial Intelligence to drive pipeline. The successful candidate will capitalise on their rounded experience in IT consulting sales and delivery alongside our clients’ established reputation, to compete for medium to large (£2.5m - £5m) IT Services engagements. Key Responsibilities:
Work with the CTO to develop the ‘go to market’ strategy of the new AI practice and take responsibility for all sales & marketing related activities
Develop AI business with new customers particularly in the commercial sectors, as well as in existing accounts
Assist the team in defining compelling AI offerings to take to market
Build awareness of existing AI capability among our customer base & partners; look for early sales wins to build credibility internally & externally
Identify early adopters across the existing customer base
Promote an award-winning AI / Fraud Detection project (recent winner of the UK AI Public Sector Project of the Year) and identify other stories and campaigns to lead into the base
Engage with our sales and account teams to build awareness, agree sales model and key sales messages
Contribute to key account planning sessions to ensure AI capability is well promoted and positioned for success
Develop key commercial partnerships in the area of AI including global tech partners Microsoft and AWS but also emerging disrupters and influencers
Manage and report on progress against clear financial targets including revenue, sales (SOV) and pipeline
Background Experience: You will be an experienced IT services sales professional with an established network and reputation in the emerging Artificial Intelligence sector. Your experience will allow you to appropriately navigate the procurement cycle, successfully establishing reputation, qualifying, pursuing and tendering for medium to large scale IT Services engagements. It is likely that your background will be in systems integration with a specific focus towards advanced enterprise data analytics, predictive analytics, data science and machine learning. Skills and experiences will include:
Drive and capability to lead sales delivery and be accountable for delivering against an annuity / services revenue target circa £5m
Demonstrable commercial experience in Artificial Intelligence solutions and services sales
Strong commercial awareness and the ability to manage the negotiation of complex IT services / solutions engagements, typically seeking to establish a small footprint to demonstrate capability through proof of concept as a foundation from which to grow
Deep understanding of the technology trends and market dynamics affecting the global Artificial Intelligence industry
A proven background in new business development, sales management and pipeline conversion gained with an established IT Systems Integration / IT Solutions environment
Intimacy with the commercial delivery of IT services business, preferably having come from a career background in software engineering and project management
Deep appreciation / for the opportunities afforded by the emergence of Artificial Intelligence and its practical application to commercially viable client solutions
Exceptional communication skills including comfort presenting at CxO level and the ability to lead the development of marketing collateral and bid content
Additional Information:
Applications are only invited from candidates with the right to reside and work within the EU
Candidates must be willing to travel extensively for the purposes of meeting clients and collaborating with colleagues
Salary Offered: to £120k (base) + Executive Benefits and Bonus up to 60% for on target performance
Location: This position may be based from London, Birmingham or Northern Ireland
Our Client... ... is a ‘Digital Leader’ in the UK IT Services marketplace. A member of the FTSE250 , employing >1,750 professionals and holding an enviable track record for providing digital technology services, our client is an established leader with ambition plans to further its reputation and reach through the development of a dedicated Artificial Intelligence (AI) services and solutions business
Job purpose
Liberty Global is elevating the business intelligence and data asset capability across all business domains and operating countries as a pillar to improve business performance and better predict the business going forward. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products, improve customer’s experience and create technological advancement within the company . Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems.
Key responsibilities
Work with key internal stakeholders associated with new and existing business initiatives to understand and detail their business requirements
Transform large, complex data sets into pragmatic, actionable insights.
Apply state-of-the-art analytical methods like Machine Learning, Pattern Recognition, Neural Networking, Pattern Recognition, Recommendation algorithms to solve business problems and optimise outcomes.
Research and develop approaches on how to improve business processes and improve customers experience, by using our vast amounts of data.
Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, using leading data science and innovative Big Data solutions.
Partner with data engineering teams to improve data as an asset of the business.
Participate in detailed product analysis, customer segmentation, lifetime value analysis etc to drive insights, targeted strategies and communication.
Develop internal A/B testing procedures to determine the effectives of different approaches.
Build knowledge about existing and emerging technologies and techniques as appropriate to data science, and maintain a learning ethos.
Build key data sets to empower operational and exploratory analysis.
Build and analyse key dashboards and reports.
Qualifications
The candidate should possess a degree in a quantitative field like Physics, Engineering, Statistics, Mathematics, Computer Science, Operational Research (or comparable studies)
0-3 years work experience
Experience working within the Big Data ecosystem (Hadoop, MapReduce, Spark, Hive)
Strong experience in statistical packages including R, Python(sckit-learn, pandas), MATLAB
Knowledge of mathematical and statistical model, in one or more of the following areas: logistic regression, pattern recognition, Neural Networks, Graph theory, machine learning approaches, optimisation routines, recommendation algorithms, predictive modelling.
Experience in data presentation tools including D3, bokeh, Tableau, Qlik.
Experience of using data to drive commercial and actionable insights for the business. Preferably, the candidate has experience in statistical models applied to telecommunication and media (or similar industries), such as network optimization and churn modelling
A highly motivated a self-starter able to work with minimal supervision to complete assigned tasks.
Fluent in both written and spoken English
Good interpersonal and communication skills
Team player
Working environment
A constantly changing, fast moving, dynamic environment
Flexible working required
Work in an international and multicultural team
Some travel through Europe is expected
External Job Posting DescriptionExternal Job Posting Description Job purpose
Liberty Global is elevating the business intelligence and data asset capability across all business domains and operating countries as a pillar to improve business performance and better predict the business going forward. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products, improve customer’s experience and create technological advancement within the company . Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems.
Key responsibilities
Work with key internal stakeholders associated with new and existing business initiatives to understand and detail their business requirements
Transform large, complex data sets into pragmatic, actionable insights.
Apply state-of-the-art analytical methods like Machine Learning, Pattern Recognition, Neural Networking, Pattern Recognition, Recommendation algorithms to solve business problems and optimise outcomes.
Research and develop approaches on how to improve business processes and improve customers experience, by using our vast amounts of data.
Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, using leading data science and innovative Big Data solutions.
Partner with data engineering teams to improve data as an asset of the business.
Participate in detailed product analysis, customer segmentation, lifetime value analysis etc to drive insights, targeted strategies and communication.
Develop internal A/B testing procedures to determine the effectives of different approaches.
Build knowledge about existing and emerging technologies and techniques as appropriate to data science, and maintain a learning ethos.
Build key data sets to empower operational and exploratory analysis.
Build and analyse key dashboards and reports.
Qualifications
The candidate should possess a degree in a quantitative field like Physics, Engineering, Statistics, Mathematics, Computer Science, Operational Research (or comparable studies)
0-3 years work experience
Experience working within the Big Data ecosystem (Hadoop, MapReduce, Spark, Hive)
Strong experience in statistical packages including R, Python(sckit-learn, pandas), MATLAB
Knowledge of mathematical and statistical model, in one or more of the following areas: logistic regression, pattern recognition, Neural Networks, Graph theory, machine learning approaches, optimisation routines, recommendation algorithms, predictive modelling.
Experience in data presentation tools including D3, bokeh, Tableau, Qlik.
Experience of using data to drive commercial and actionable insights for the business. Preferably, the candidate has experience in statistical models applied to telecommunication and media (or similar industries), such as network optimization and churn modelling
A highly motivated a self-starter able to work with minimal supervision to complete assigned tasks.
Fluent in both written and spoken English
Good interpersonal and communication skills
Team player
Working environment
A constantly changing, fast moving, dynamic environment
Flexible working required
Work in an international and multicultural team
Some travel through Europe is expected
24/01/2020
Full time
Job purpose
Liberty Global is elevating the business intelligence and data asset capability across all business domains and operating countries as a pillar to improve business performance and better predict the business going forward. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products, improve customer’s experience and create technological advancement within the company . Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems.
Key responsibilities
Work with key internal stakeholders associated with new and existing business initiatives to understand and detail their business requirements
Transform large, complex data sets into pragmatic, actionable insights.
Apply state-of-the-art analytical methods like Machine Learning, Pattern Recognition, Neural Networking, Pattern Recognition, Recommendation algorithms to solve business problems and optimise outcomes.
Research and develop approaches on how to improve business processes and improve customers experience, by using our vast amounts of data.
Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, using leading data science and innovative Big Data solutions.
Partner with data engineering teams to improve data as an asset of the business.
Participate in detailed product analysis, customer segmentation, lifetime value analysis etc to drive insights, targeted strategies and communication.
Develop internal A/B testing procedures to determine the effectives of different approaches.
Build knowledge about existing and emerging technologies and techniques as appropriate to data science, and maintain a learning ethos.
Build key data sets to empower operational and exploratory analysis.
Build and analyse key dashboards and reports.
Qualifications
The candidate should possess a degree in a quantitative field like Physics, Engineering, Statistics, Mathematics, Computer Science, Operational Research (or comparable studies)
0-3 years work experience
Experience working within the Big Data ecosystem (Hadoop, MapReduce, Spark, Hive)
Strong experience in statistical packages including R, Python(sckit-learn, pandas), MATLAB
Knowledge of mathematical and statistical model, in one or more of the following areas: logistic regression, pattern recognition, Neural Networks, Graph theory, machine learning approaches, optimisation routines, recommendation algorithms, predictive modelling.
Experience in data presentation tools including D3, bokeh, Tableau, Qlik.
Experience of using data to drive commercial and actionable insights for the business. Preferably, the candidate has experience in statistical models applied to telecommunication and media (or similar industries), such as network optimization and churn modelling
A highly motivated a self-starter able to work with minimal supervision to complete assigned tasks.
Fluent in both written and spoken English
Good interpersonal and communication skills
Team player
Working environment
A constantly changing, fast moving, dynamic environment
Flexible working required
Work in an international and multicultural team
Some travel through Europe is expected
External Job Posting DescriptionExternal Job Posting Description Job purpose
Liberty Global is elevating the business intelligence and data asset capability across all business domains and operating countries as a pillar to improve business performance and better predict the business going forward. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products, improve customer’s experience and create technological advancement within the company . Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems.
Key responsibilities
Work with key internal stakeholders associated with new and existing business initiatives to understand and detail their business requirements
Transform large, complex data sets into pragmatic, actionable insights.
Apply state-of-the-art analytical methods like Machine Learning, Pattern Recognition, Neural Networking, Pattern Recognition, Recommendation algorithms to solve business problems and optimise outcomes.
Research and develop approaches on how to improve business processes and improve customers experience, by using our vast amounts of data.
Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, using leading data science and innovative Big Data solutions.
Partner with data engineering teams to improve data as an asset of the business.
Participate in detailed product analysis, customer segmentation, lifetime value analysis etc to drive insights, targeted strategies and communication.
Develop internal A/B testing procedures to determine the effectives of different approaches.
Build knowledge about existing and emerging technologies and techniques as appropriate to data science, and maintain a learning ethos.
Build key data sets to empower operational and exploratory analysis.
Build and analyse key dashboards and reports.
Qualifications
The candidate should possess a degree in a quantitative field like Physics, Engineering, Statistics, Mathematics, Computer Science, Operational Research (or comparable studies)
0-3 years work experience
Experience working within the Big Data ecosystem (Hadoop, MapReduce, Spark, Hive)
Strong experience in statistical packages including R, Python(sckit-learn, pandas), MATLAB
Knowledge of mathematical and statistical model, in one or more of the following areas: logistic regression, pattern recognition, Neural Networks, Graph theory, machine learning approaches, optimisation routines, recommendation algorithms, predictive modelling.
Experience in data presentation tools including D3, bokeh, Tableau, Qlik.
Experience of using data to drive commercial and actionable insights for the business. Preferably, the candidate has experience in statistical models applied to telecommunication and media (or similar industries), such as network optimization and churn modelling
A highly motivated a self-starter able to work with minimal supervision to complete assigned tasks.
Fluent in both written and spoken English
Good interpersonal and communication skills
Team player
Working environment
A constantly changing, fast moving, dynamic environment
Flexible working required
Work in an international and multicultural team
Some travel through Europe is expected
Current enrolment in a degree-granting college or university working towards a PhD in Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field.
Hands on experience in probabilistic modelling and analysis, in particular one or more of: Bayesian machine learning, deep learning, crowdsourcing, user modelling.
At least one refereed academic publication in these areas.
Good coding skills. Experience in Python is a plus.
Good communication skills and the ability to work in a team.
The Alexa Shopping: Privacy and Machine Learning team in Cambridge is looking for Applied Science Interns for summer 2020. As an applied scientist in Alexa Shopping, you will be responsible for the research, design and development of new machine learning and privacy enhancing technologies for voice-based and multimodal shopping experiences. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally and abroad. Your work will combine data mining, systems and software development, exploration of new technologies, as well as working towards publications and presentations at top scientific conferences. The team has expertise in Gaussian processes, approximate inference, probabilistic modelling, deep learning, crowdsourcing, user modelling, and other related fields. We employ all these technologies to continually improve the experience of Amazon customers.
Ability to convey rigorous mathematical concepts and considerations to non-experts.
Ability to distil problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives.
Strong software development skills.
Familiarity with one or more of: approximate methods in Bayesian inference, Gaussian Processes, transfer/continual/meta/active learning.
By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies
21/02/2020
Full time
Current enrolment in a degree-granting college or university working towards a PhD in Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field.
Hands on experience in probabilistic modelling and analysis, in particular one or more of: Bayesian machine learning, deep learning, crowdsourcing, user modelling.
At least one refereed academic publication in these areas.
Good coding skills. Experience in Python is a plus.
Good communication skills and the ability to work in a team.
The Alexa Shopping: Privacy and Machine Learning team in Cambridge is looking for Applied Science Interns for summer 2020. As an applied scientist in Alexa Shopping, you will be responsible for the research, design and development of new machine learning and privacy enhancing technologies for voice-based and multimodal shopping experiences. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally and abroad. Your work will combine data mining, systems and software development, exploration of new technologies, as well as working towards publications and presentations at top scientific conferences. The team has expertise in Gaussian processes, approximate inference, probabilistic modelling, deep learning, crowdsourcing, user modelling, and other related fields. We employ all these technologies to continually improve the experience of Amazon customers.
Ability to convey rigorous mathematical concepts and considerations to non-experts.
Ability to distil problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives.
Strong software development skills.
Familiarity with one or more of: approximate methods in Bayesian inference, Gaussian Processes, transfer/continual/meta/active learning.
By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies
Founded in 2016, ThirdEye uses AI to automate the world’s 245m CCTV cameras. We then put this power in real-time into the hands of all retail workers and make them see where customers are looking at and what they interact with. This helps retailers reduce theft, optimise store operations & product promotions, and much more. Thereby, we keep our clients productive and competitive in an ever evolving market.
Based in the heart of vibrant Central London, we’re a young, multi-cultural team from different professional backgrounds with a shared passion for tech and retail. Needless to say, we’re a bit geeky - but in the most adorable way! We love our daily lunch break walks to local street food markets just as much as a fusball team battle and occasional post-work activities.
The Team
You are part of a small but exponentially growing, multi-cultural team of engineers and business people. Fast paced, with ever expanding new ways of delivering cutting edge solutions to retailers across the globe.
Having just closed a very successful seed round we are now looking to further bolster up our ML Engineering team with a Machine Learning Researcher to help us build one of the world's most powerful and impressive real-time computer AI vision products on the market.
The ideal candidate will help master our real-time video classification engine whilst keeping up to date with latest industry and deep learning methods for action recognition on live video.
Focus of the Role:
Your main mission will be to breath state-of-the-art computer vision knowledge into the team whilst providing industry-leading strategical advice to help implement new computer vision products.
Making key industry recommendations to the ML and leadership team such algorithm options and current developments in computer vision
Mentoring junior and mid-level ML team members
Staying abreast with current ultramodern industry trends and computer visions advancements
Implementing computer vision algorithms
Required Skills & Experience:
Ph.D. or MSc. in a relevant field with extensive studies relating to Machine Learning and/or Computer Vision
Extensive knowledge in applied computer vision
Experience working with camera and multi-view geometry
Strong understanding of deep learning and working with machine learning algorithms
Ability to present techniques such as algorithms to both technical and (occasionally) non-technical stakeholders
Understanding of model verification
Experience in Python and Tensorflow
It'd be nice if you have:
Experience with pyTorch, Caffe and machine learning libraries like sklearn
Knowledge on 2D and/or 3D pose estimation from single view
Camera calibration knowledge
Experience or knowledge in embedding computer vision algorithms in low-power platforms (Phones, ARM chips, etc)
What's in it for you:
This role can be worked in conjunction with completing your PhD. We are able to offer part-time work to fit around studies.
Learning budget
Dedicated time to learn and hone new skills
Loads of team socials including ski trips with other businesses!
Pension contributions
25 days holiday per year, plus bank holidays
Generous amount of equity
We can offer sponsorship for this role
If relocating for the role, you'll be assigned a buddy to help you with the practicalities of living in London such as housing, taxes, transport etc
21/02/2020
Full time
Founded in 2016, ThirdEye uses AI to automate the world’s 245m CCTV cameras. We then put this power in real-time into the hands of all retail workers and make them see where customers are looking at and what they interact with. This helps retailers reduce theft, optimise store operations & product promotions, and much more. Thereby, we keep our clients productive and competitive in an ever evolving market.
Based in the heart of vibrant Central London, we’re a young, multi-cultural team from different professional backgrounds with a shared passion for tech and retail. Needless to say, we’re a bit geeky - but in the most adorable way! We love our daily lunch break walks to local street food markets just as much as a fusball team battle and occasional post-work activities.
The Team
You are part of a small but exponentially growing, multi-cultural team of engineers and business people. Fast paced, with ever expanding new ways of delivering cutting edge solutions to retailers across the globe.
Having just closed a very successful seed round we are now looking to further bolster up our ML Engineering team with a Machine Learning Researcher to help us build one of the world's most powerful and impressive real-time computer AI vision products on the market.
The ideal candidate will help master our real-time video classification engine whilst keeping up to date with latest industry and deep learning methods for action recognition on live video.
Focus of the Role:
Your main mission will be to breath state-of-the-art computer vision knowledge into the team whilst providing industry-leading strategical advice to help implement new computer vision products.
Making key industry recommendations to the ML and leadership team such algorithm options and current developments in computer vision
Mentoring junior and mid-level ML team members
Staying abreast with current ultramodern industry trends and computer visions advancements
Implementing computer vision algorithms
Required Skills & Experience:
Ph.D. or MSc. in a relevant field with extensive studies relating to Machine Learning and/or Computer Vision
Extensive knowledge in applied computer vision
Experience working with camera and multi-view geometry
Strong understanding of deep learning and working with machine learning algorithms
Ability to present techniques such as algorithms to both technical and (occasionally) non-technical stakeholders
Understanding of model verification
Experience in Python and Tensorflow
It'd be nice if you have:
Experience with pyTorch, Caffe and machine learning libraries like sklearn
Knowledge on 2D and/or 3D pose estimation from single view
Camera calibration knowledge
Experience or knowledge in embedding computer vision algorithms in low-power platforms (Phones, ARM chips, etc)
What's in it for you:
This role can be worked in conjunction with completing your PhD. We are able to offer part-time work to fit around studies.
Learning budget
Dedicated time to learn and hone new skills
Loads of team socials including ski trips with other businesses!
Pension contributions
25 days holiday per year, plus bank holidays
Generous amount of equity
We can offer sponsorship for this role
If relocating for the role, you'll be assigned a buddy to help you with the practicalities of living in London such as housing, taxes, transport etc
This global Legal Professional Services group, operating within the UK, Europe, US and Asia, has a reputation for delivering outstanding services and innovative product solutions. The business has established a track record for completing international assignments on behalf of a worldwide blue-chip client base. The development of internal legal technology capabilities has led to the creation of a new opportunity for a Legal Technologist to join a recently established Tech team supporting a global leading practice group. Working at the heart of digital transformation, you will be supporting the maximisation of artificial intelligence and machine learning on data capture and process improvement, utilising AI tools including Raven, Luminance, Kira, eBrevia, Bryter and Neota. A broad brief includes:
Defining, designing, testing, procuring & implementing AI & machine learning systems
Defining, designing, testing, procuring & implementing decision tree logic, automation & workflow systems to streamline service delivery
Working to develop deep understanding of legal work & existing processes to advise & assist with implementation of legal tech tools to enhance client service delivery
Providing insights on legal market & technology trends & investigating new solutions & technologies
Promoting use of existing legal tech to lawyers & encouraging innovative uses
Leading integration, configuration & customisation of existing solutions
Identifying requirements for new solutions
Leading introduction & embedding of new legal technologies
Delivering training, presentations & demonstrations of legal tech to lawyers & clients
Assisting with preparation & delivery of pitches to clients
As an experienced Legal Technologist, with evidence of utilising AI tools including Raven, Luminance, Kira, eBrevia, Bryter and/or Neota, you will demonstrate an understanding of law firm processes, ideally gained within the Legal/Professional Services sector, or a large in-house Legal team environment. As a team player you will possess outstanding interpersonal ability, the gravitas to influence key stakeholders and strong project management skills. Ref: BHJOB3543_5263
Harcourt Matthews is acting as an Employment Agency in relation to this vacancy. Our divisions include Accounting & Finance; HR – Human Resources & Personnel; IT – Information Technology; Pfi/PPP & FM; Procurement & Purchasing; Project Management & PMO; Sales & Marketing.
21/02/2020
Full time
This global Legal Professional Services group, operating within the UK, Europe, US and Asia, has a reputation for delivering outstanding services and innovative product solutions. The business has established a track record for completing international assignments on behalf of a worldwide blue-chip client base. The development of internal legal technology capabilities has led to the creation of a new opportunity for a Legal Technologist to join a recently established Tech team supporting a global leading practice group. Working at the heart of digital transformation, you will be supporting the maximisation of artificial intelligence and machine learning on data capture and process improvement, utilising AI tools including Raven, Luminance, Kira, eBrevia, Bryter and Neota. A broad brief includes:
Defining, designing, testing, procuring & implementing AI & machine learning systems
Defining, designing, testing, procuring & implementing decision tree logic, automation & workflow systems to streamline service delivery
Working to develop deep understanding of legal work & existing processes to advise & assist with implementation of legal tech tools to enhance client service delivery
Providing insights on legal market & technology trends & investigating new solutions & technologies
Promoting use of existing legal tech to lawyers & encouraging innovative uses
Leading integration, configuration & customisation of existing solutions
Identifying requirements for new solutions
Leading introduction & embedding of new legal technologies
Delivering training, presentations & demonstrations of legal tech to lawyers & clients
Assisting with preparation & delivery of pitches to clients
As an experienced Legal Technologist, with evidence of utilising AI tools including Raven, Luminance, Kira, eBrevia, Bryter and/or Neota, you will demonstrate an understanding of law firm processes, ideally gained within the Legal/Professional Services sector, or a large in-house Legal team environment. As a team player you will possess outstanding interpersonal ability, the gravitas to influence key stakeholders and strong project management skills. Ref: BHJOB3543_5263
Harcourt Matthews is acting as an Employment Agency in relation to this vacancy. Our divisions include Accounting & Finance; HR – Human Resources & Personnel; IT – Information Technology; Pfi/PPP & FM; Procurement & Purchasing; Project Management & PMO; Sales & Marketing.
Region
EMEA
Practice group
Real Estate
Office
London
Position type
Permanent
Summary
Eversheds Sutherland has one of the world’s largest full-service real estate teams. We deliver global coverage through our network of lawyers in key jurisdictions. We take pride in our deal and client coverage and work in partnership with global, regional and local businesses that develop, manage, trade, finance and invest in real estate.
Our Real Estate Practice Group (REPG) handles every aspect of commercial real estate, including retail, office, industrial, hospitality and leisure, multifamily, student housing, affordable housing, data centers, leasing transactions, healthcare, timber, natural resources and agribusiness projects. The team has in-depth experience in major regeneration and infrastructure-led projects, premier investment mandates, multi-layered funds and joint ventures structured for tax and regulatory efficiency, alternative real estate assets and portfolio asset management.
This role will form part of the recently formed REPG Legal Technology Team.
21/02/2020
Full time
Region
EMEA
Practice group
Real Estate
Office
London
Position type
Permanent
Summary
Eversheds Sutherland has one of the world’s largest full-service real estate teams. We deliver global coverage through our network of lawyers in key jurisdictions. We take pride in our deal and client coverage and work in partnership with global, regional and local businesses that develop, manage, trade, finance and invest in real estate.
Our Real Estate Practice Group (REPG) handles every aspect of commercial real estate, including retail, office, industrial, hospitality and leisure, multifamily, student housing, affordable housing, data centers, leasing transactions, healthcare, timber, natural resources and agribusiness projects. The team has in-depth experience in major regeneration and infrastructure-led projects, premier investment mandates, multi-layered funds and joint ventures structured for tax and regulatory efficiency, alternative real estate assets and portfolio asset management.
This role will form part of the recently formed REPG Legal Technology Team.
We're looking for a Business Intelligence Lead to join the Product Data Stewardship team in London or Tallinn. As a financial institution moving billions of GBP of customer money in over 70 countries, TransferWise must have bulletproof financials. We need timely, accurate and scalable financial data to be compliant with regulations and make accurate business decisions inside the company. Finance data platform is fundamental to the success of TransferWise mission and ensures, that across our dozens of product teams and hundreds of microservices, we have a single source of truth of product data that is complete, consistent and compliant. You will be leading the BI function within the Product Data Stewardship team within Finance tribe. You will work closely with our product teams on implementing analytics tooling and will own analytical attribution of data in the DWH, controls on the quality of this data and documentation of processes and available analytics. This role is a unique opportunity to build very critical analytical system and find the wise ways of how to make it as simple as possible. This will be the foundation for others to make business decisions, get insights, provide external reporting and stay compliant worldwide. Your mission
Your mission is to build the BI / Data Platform function within Product Data Stewardship team and Finance tribe.
You'll own and drive the vision of the "single source of truth" for our product finances - working closely with core Finance and TransferWise analytics guild.
Establish and maintain close collaboration with upstream and downstream teams
Own the quality of the aggregated data and efficiency of usage of the BI / data platform, including: ensuring agreed data definitions are maintained, documented and communicated, data controls are maintained and reported regularly.
A bit about you
Experience in leading a team (preferably in an agile environment)
You have solid experience working with data in finance domain and fluent in financial terminology
Experience in building BI infrastructure e.g. designing a Data Warehouse, building data pipelines / ETL, implement monitoring
Strong communicator - able to communicate complex ideas effectively, both verbally and in writing
You're hands-on with advanced SQL (PostgreSQL, SnowFlake) and DWH designing experience
You're strategic and organised- you think several steps ahead and ensure decisions and actions your team does contribute into the big picture vision; you're able to make hard decisions independently
Open, communicative, and fun to work with
You are ready to travel and spend time in London, UK / Tallinn, Estonia
This role will give you the opportunity to
Experience and learn how to efficiently operate in an agile environment and autonomous team culture.
Build your own team, which is driving dynamic data collection, transformation and aggregations in semi-real time regime.
Study new technology stack and most advanced features of PostgreSQL, SnowFlake, AWS as well as work side-by-side with Java engineering team.
Innovate on building real time analytics in micro service architecture.
Our People: At TransferWise, you'll be joining a movement of people who believe in a better, fairer, more transparent way of moving money around the world. You'll collaborate to do your best work and take on problems that no one has looked at before. If you're keen to learn, grow, try new things and aren't afraid of a bold plan, you'll fit right in. How we work: At TransferWise our strategy emerges from the collective brainpower of all our people, who are organised in dozens of independent, autonomous teams. Teams stay closest to our customers, so they choose what problems to solve and where to spend the most time. You'll experience radical levels of ownership and empowerment within your role. Plus the opportunity to see the direct impact of your work on our customers
21/02/2020
Full time
We're looking for a Business Intelligence Lead to join the Product Data Stewardship team in London or Tallinn. As a financial institution moving billions of GBP of customer money in over 70 countries, TransferWise must have bulletproof financials. We need timely, accurate and scalable financial data to be compliant with regulations and make accurate business decisions inside the company. Finance data platform is fundamental to the success of TransferWise mission and ensures, that across our dozens of product teams and hundreds of microservices, we have a single source of truth of product data that is complete, consistent and compliant. You will be leading the BI function within the Product Data Stewardship team within Finance tribe. You will work closely with our product teams on implementing analytics tooling and will own analytical attribution of data in the DWH, controls on the quality of this data and documentation of processes and available analytics. This role is a unique opportunity to build very critical analytical system and find the wise ways of how to make it as simple as possible. This will be the foundation for others to make business decisions, get insights, provide external reporting and stay compliant worldwide. Your mission
Your mission is to build the BI / Data Platform function within Product Data Stewardship team and Finance tribe.
You'll own and drive the vision of the "single source of truth" for our product finances - working closely with core Finance and TransferWise analytics guild.
Establish and maintain close collaboration with upstream and downstream teams
Own the quality of the aggregated data and efficiency of usage of the BI / data platform, including: ensuring agreed data definitions are maintained, documented and communicated, data controls are maintained and reported regularly.
A bit about you
Experience in leading a team (preferably in an agile environment)
You have solid experience working with data in finance domain and fluent in financial terminology
Experience in building BI infrastructure e.g. designing a Data Warehouse, building data pipelines / ETL, implement monitoring
Strong communicator - able to communicate complex ideas effectively, both verbally and in writing
You're hands-on with advanced SQL (PostgreSQL, SnowFlake) and DWH designing experience
You're strategic and organised- you think several steps ahead and ensure decisions and actions your team does contribute into the big picture vision; you're able to make hard decisions independently
Open, communicative, and fun to work with
You are ready to travel and spend time in London, UK / Tallinn, Estonia
This role will give you the opportunity to
Experience and learn how to efficiently operate in an agile environment and autonomous team culture.
Build your own team, which is driving dynamic data collection, transformation and aggregations in semi-real time regime.
Study new technology stack and most advanced features of PostgreSQL, SnowFlake, AWS as well as work side-by-side with Java engineering team.
Innovate on building real time analytics in micro service architecture.
Our People: At TransferWise, you'll be joining a movement of people who believe in a better, fairer, more transparent way of moving money around the world. You'll collaborate to do your best work and take on problems that no one has looked at before. If you're keen to learn, grow, try new things and aren't afraid of a bold plan, you'll fit right in. How we work: At TransferWise our strategy emerges from the collective brainpower of all our people, who are organised in dozens of independent, autonomous teams. Teams stay closest to our customers, so they choose what problems to solve and where to spend the most time. You'll experience radical levels of ownership and empowerment within your role. Plus the opportunity to see the direct impact of your work on our customers
We are looking for a Business Intelligence Technical Lead to join our fast paced but friendly head office team in Hatfield. This is a great role that will give an opportunity to steer the direction of database and BI developers to meet the business and technical requirements on various projects within David Lloyd Clubs.
We are looking for someone to own the overall architecture, develop and operate the Azure BI platform and support BIC Developers and Reporting Specialists in delivering automated reporting. The successful candidate will also be responsible for managing all major stakeholders and supporting business partners in order to identify and develop data solutions that are in-line with business requirements to derive value from their data.
This role provides an excellent opportunity to help develop and implement strategies for data acquisitions, archive recovery, and data divestment that will improve business performance. As part of the role you will build and maintain complex Data Models, and produce Data Model Reviews.
We are looking for someone who:
Possesses a background in software and/or database development and engineering, data architecture, and managing BI Solutions
Has proven working knowledge of the Azure BI Platform including Azure Data Lake, Azure Data Factory, Azure SQL and Microsoft Power BI
Has experience as a database or ETL developer, preferable on SQL server platform
Has experience of designing conceptual and logical data models
Has extensive working experience of Microsoft BI solutions (SSIS, SSAS, SSRS)
As a Sunday Times Best Big Company, you will enjoy great benefits such as free club memberships, 25 days holiday, a competitive bonus scheme, 50% all of our products and the ability to develop your skills in a great role. You will be joining us during an exciting period of growth as we aim to double the size of the business over the next 3 years.
Key Responsibilities
Data solution architecture
Translate business requirements into technical data solutions
Develop innovative ETL approaches to bring a diverse set of on-prem and cloud-based data sources into the Data Lake
Work alongside Enterprise Architect to define the most optimal cloud-based data architecture and infrastructure model which supports both operational and analytical data management use cases
Provide expert technical advice and guidance to the DLL business, the Business Intelligence Centre and the Digital teams to help scope out and design member facing as well as internally focussed technology solutions
Identify and implement suitable data quality management and meta data management solutions
Azure platform development and management
Develop and operate the Azure BI platform. Design, develop, test, and roll-out effective Azure data repositories, such as databases, data marts, blob storage, and analytics models to support the BIC Developers and Reporting Specialists in delivering automated reporting, Power BI dashboards, and deploy data science capability.
Develop Data Factory, and other data movement processes as required to support reporting, auditing, and other data needs in the business
Where necessary create new formats/processes or methodologies, document and communicate them to the wider BI community as needed to enhance to organisations capabilities
Develop and implement source control, error and exception management processes, ensuring causes of poor data quality are identified and escalated to the business owners
Develop data archiving, purging, and GDPR compliance processes
Ensure the BI environment is proactively monitored, data flows from source systems are robust with adequate fault tolerance, the reporting layer is consistent, and new developments are designed in a modular fashion.
Maintain and performance tune the cloud based data storage solutions to support the operational as well as the BI application environment
Education and Experience
Degree in computer science, information systems, or other related technical field
Possesses a background in software and/or database development and engineering, data architecture, and managing BI Solutions
Experience as a database or ETL developer preferable on SQL server platform
Experience of designing conceptual and logical data models
Extensive working experience of Microsoft BI solutions (SSIS, SSAS, SSRS)
Hands-on experience with developing in BI cloud technologies in Azure including Data Factory, Power BI
Experience in troubleshooting and resolving database issues such as integrity, performance, replication, connectivity, recovery, and security.
Experience of managing a development team
Experience in agile methodologies
Experience in preparing data for data science and Machine Learning
Experience of developing data pipelines using IoT/streaming data
Knowledge/Skills
Design and development of best practice ETL flows, data stores, dimensional models, cubes
Data warehousing and best practice BI Architecture
Data aggregation and dimensional modelling, OLAP
Data preparation (sourcing, acquisition, integration)
Proven ability to solve problems of varied technical backgrounds
Fluency with appropriate tools including Azure DevOps, Visual Studio other SQL Server Management tools
Awareness of best practice, trends, and evolutions in the IT industry and most particularly MS Azure technology stack
21/02/2020
Full time
We are looking for a Business Intelligence Technical Lead to join our fast paced but friendly head office team in Hatfield. This is a great role that will give an opportunity to steer the direction of database and BI developers to meet the business and technical requirements on various projects within David Lloyd Clubs.
We are looking for someone to own the overall architecture, develop and operate the Azure BI platform and support BIC Developers and Reporting Specialists in delivering automated reporting. The successful candidate will also be responsible for managing all major stakeholders and supporting business partners in order to identify and develop data solutions that are in-line with business requirements to derive value from their data.
This role provides an excellent opportunity to help develop and implement strategies for data acquisitions, archive recovery, and data divestment that will improve business performance. As part of the role you will build and maintain complex Data Models, and produce Data Model Reviews.
We are looking for someone who:
Possesses a background in software and/or database development and engineering, data architecture, and managing BI Solutions
Has proven working knowledge of the Azure BI Platform including Azure Data Lake, Azure Data Factory, Azure SQL and Microsoft Power BI
Has experience as a database or ETL developer, preferable on SQL server platform
Has experience of designing conceptual and logical data models
Has extensive working experience of Microsoft BI solutions (SSIS, SSAS, SSRS)
As a Sunday Times Best Big Company, you will enjoy great benefits such as free club memberships, 25 days holiday, a competitive bonus scheme, 50% all of our products and the ability to develop your skills in a great role. You will be joining us during an exciting period of growth as we aim to double the size of the business over the next 3 years.
Key Responsibilities
Data solution architecture
Translate business requirements into technical data solutions
Develop innovative ETL approaches to bring a diverse set of on-prem and cloud-based data sources into the Data Lake
Work alongside Enterprise Architect to define the most optimal cloud-based data architecture and infrastructure model which supports both operational and analytical data management use cases
Provide expert technical advice and guidance to the DLL business, the Business Intelligence Centre and the Digital teams to help scope out and design member facing as well as internally focussed technology solutions
Identify and implement suitable data quality management and meta data management solutions
Azure platform development and management
Develop and operate the Azure BI platform. Design, develop, test, and roll-out effective Azure data repositories, such as databases, data marts, blob storage, and analytics models to support the BIC Developers and Reporting Specialists in delivering automated reporting, Power BI dashboards, and deploy data science capability.
Develop Data Factory, and other data movement processes as required to support reporting, auditing, and other data needs in the business
Where necessary create new formats/processes or methodologies, document and communicate them to the wider BI community as needed to enhance to organisations capabilities
Develop and implement source control, error and exception management processes, ensuring causes of poor data quality are identified and escalated to the business owners
Develop data archiving, purging, and GDPR compliance processes
Ensure the BI environment is proactively monitored, data flows from source systems are robust with adequate fault tolerance, the reporting layer is consistent, and new developments are designed in a modular fashion.
Maintain and performance tune the cloud based data storage solutions to support the operational as well as the BI application environment
Education and Experience
Degree in computer science, information systems, or other related technical field
Possesses a background in software and/or database development and engineering, data architecture, and managing BI Solutions
Experience as a database or ETL developer preferable on SQL server platform
Experience of designing conceptual and logical data models
Extensive working experience of Microsoft BI solutions (SSIS, SSAS, SSRS)
Hands-on experience with developing in BI cloud technologies in Azure including Data Factory, Power BI
Experience in troubleshooting and resolving database issues such as integrity, performance, replication, connectivity, recovery, and security.
Experience of managing a development team
Experience in agile methodologies
Experience in preparing data for data science and Machine Learning
Experience of developing data pipelines using IoT/streaming data
Knowledge/Skills
Design and development of best practice ETL flows, data stores, dimensional models, cubes
Data warehousing and best practice BI Architecture
Data aggregation and dimensional modelling, OLAP
Data preparation (sourcing, acquisition, integration)
Proven ability to solve problems of varied technical backgrounds
Fluency with appropriate tools including Azure DevOps, Visual Studio other SQL Server Management tools
Awareness of best practice, trends, and evolutions in the IT industry and most particularly MS Azure technology stack
Discover Parexel, a premier service provider for the global pharmaceutical industry that can offer you the opportunity to make a profound difference in millions of lives. You'll be immersed in diverse projects that keep you challenged every day, as well as surrounded by colleagues who share your passion and dedication. Bring life-saving treatments to the world with a Data Management job at Parexel. You'll collaborate with a diverse multi-functional team and use an array of technologies on global projects. In addition, our fast-paced environment will give you an opportunity to learn something new every day while you support the accurate collection, organization and analysis of clinical data on small and large studies. Achieve your personal and professional goals with a career in Data Management at Parexel. Our advancement opportunities, individual development and professional growth programs will inspire you to be your best each and every day. If you're a motivated team player, eager to make an impact within Parexel and in the world, join us. Data Management and Clinical Data and Database Programming. The Data Management Lead manages the delivery of all relevant data operations activities from database setup through database lock and data transfers. General areas of responsibility include: coordination of the relevant Data Operations team members and their activities across all geographies, liaising with project leadership, other functional leaders (clinical, biostatistics, medical, medical writing etc.) and the client as a single point of contact to ensure that the contracted data deliverables are being met – specifically in terms of timeliness, financial management and quality. May act as Project Leader for projects involving a small number of services, where no Project Leader is assigned.
Qualifications
Knowledge and Experience:
Substantial experience in clinical research
Proven record of leading project and program teams in a technical/programming or data processing environment
Strong understanding of cross functional activities
Strong customer service focus
Robust knowledge of ICH-GCP Guidelines, local regulatory requirements and PAREXEL SOPs and study specific procedures
Education:
Bachelor’s degree and / or other qualifications in a science or industry related discipline
Competent in written and oral English
21/02/2020
Full time
Discover Parexel, a premier service provider for the global pharmaceutical industry that can offer you the opportunity to make a profound difference in millions of lives. You'll be immersed in diverse projects that keep you challenged every day, as well as surrounded by colleagues who share your passion and dedication. Bring life-saving treatments to the world with a Data Management job at Parexel. You'll collaborate with a diverse multi-functional team and use an array of technologies on global projects. In addition, our fast-paced environment will give you an opportunity to learn something new every day while you support the accurate collection, organization and analysis of clinical data on small and large studies. Achieve your personal and professional goals with a career in Data Management at Parexel. Our advancement opportunities, individual development and professional growth programs will inspire you to be your best each and every day. If you're a motivated team player, eager to make an impact within Parexel and in the world, join us. Data Management and Clinical Data and Database Programming. The Data Management Lead manages the delivery of all relevant data operations activities from database setup through database lock and data transfers. General areas of responsibility include: coordination of the relevant Data Operations team members and their activities across all geographies, liaising with project leadership, other functional leaders (clinical, biostatistics, medical, medical writing etc.) and the client as a single point of contact to ensure that the contracted data deliverables are being met – specifically in terms of timeliness, financial management and quality. May act as Project Leader for projects involving a small number of services, where no Project Leader is assigned.
Qualifications
Knowledge and Experience:
Substantial experience in clinical research
Proven record of leading project and program teams in a technical/programming or data processing environment
Strong understanding of cross functional activities
Strong customer service focus
Robust knowledge of ICH-GCP Guidelines, local regulatory requirements and PAREXEL SOPs and study specific procedures
Education:
Bachelor’s degree and / or other qualifications in a science or industry related discipline
Competent in written and oral English
Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry. We are: Experts in banking and payments, capital markets and wealth and asset management Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focus on maintaining our nimble, agile and entrepreneurial culture Responsibilities As part of our on-going global expansion strategy, Capco is growing its UK Data Practice in our London office. We are currently seeking to recruit a number of management consultants with data management expertise to lead and manage teams to support large scale transformation projects for our leading Financial Services clients. The candidate should:
Have a passion for data and a drive to shift the industry towards forward thinking data management
Be keen to join the team to develop the UK Data Practice capabilities and the broader Global Data Practice to support industry changing topics such as Machine Learning and Artificial Intelligence
Be supremely personally motivated to work in a team where clients become colleagues
Skills and Expertise
Experience within the financial services industry in data management and/or relevant regulations such as CCAR, BCBS 239 or GDPR
Understanding of data management concepts such as Data Governance, Data Lineage, Data Models, Data Quality, Control Frameworks, Data Architecture, Data Analysis
Advising on key data management topics and regulation e.g. CCAR, BCBS 239, IFRS 9
Experience with data management tools such as Collibra, Ab Initio, Informatica etc.
Programme Execution and Change management – proven ability to shape, design and manage the execution of data changes
Desirable experience as a Management Consultant
Professional experience is important. But it’s paramount you share our belief in disruptive innovation that puts clients ahead in a tough market. From Day One, your key skill will be to perceive new and better ways of doing things to give your clients an unfair advantage. You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer:
A work culture focused on innovation and creating lasting value for our clients and employees
Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A diverse, inclusive, meritocratic culture
21/02/2020
Full time
Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry. We are: Experts in banking and payments, capital markets and wealth and asset management Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focus on maintaining our nimble, agile and entrepreneurial culture Responsibilities As part of our on-going global expansion strategy, Capco is growing its UK Data Practice in our London office. We are currently seeking to recruit a number of management consultants with data management expertise to lead and manage teams to support large scale transformation projects for our leading Financial Services clients. The candidate should:
Have a passion for data and a drive to shift the industry towards forward thinking data management
Be keen to join the team to develop the UK Data Practice capabilities and the broader Global Data Practice to support industry changing topics such as Machine Learning and Artificial Intelligence
Be supremely personally motivated to work in a team where clients become colleagues
Skills and Expertise
Experience within the financial services industry in data management and/or relevant regulations such as CCAR, BCBS 239 or GDPR
Understanding of data management concepts such as Data Governance, Data Lineage, Data Models, Data Quality, Control Frameworks, Data Architecture, Data Analysis
Advising on key data management topics and regulation e.g. CCAR, BCBS 239, IFRS 9
Experience with data management tools such as Collibra, Ab Initio, Informatica etc.
Programme Execution and Change management – proven ability to shape, design and manage the execution of data changes
Desirable experience as a Management Consultant
Professional experience is important. But it’s paramount you share our belief in disruptive innovation that puts clients ahead in a tough market. From Day One, your key skill will be to perceive new and better ways of doing things to give your clients an unfair advantage. You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer:
A work culture focused on innovation and creating lasting value for our clients and employees
Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A diverse, inclusive, meritocratic culture
Data Management Coordinator
Description
To be responsible within the Broadcast Operations team for creating and managing global titles, inputting metadata into the Chanel Management System (IBMS\WON) for EMEA content. Until all EMEA territories are live on WON the role includes working with the Data Migration team and the Business Analysts to migrate the remaining territories onto WON. Team expert on WON and liaison for relevant projects.
Create global seasons, specials and movies in CMS
Manage contracts and rights creation within CMS
Update and manage the metadata content entry for all assets entered into CMS
Work closely with Disney Channels EMEA local Programming and Operation teams on managing pan-EMEA Channels content database and coordinate pan-regional and local content input
Work closely with EMEA CPS team and local programming teams on content launch timelines to ensure timely content input for global content and Multi-Territory Acquisitions in time for the first territory to transmit
As required working with the CMS teams on UAT, development, workflows and hyper care for CMS and any territories involved
Managing various SharePoints and Distribution Lists relating to the role including uploading documents and granting user rights:
IBMS Mirroring SharePoint
IBMS Audit Sign Off
BOLT
SONAR
Communicate with Disney Channels EMEA local planning teams to insure fullest and correct insertion of the information and metadata into IBMS
Work with DCVI to coordinate delivery of translations of Descriptive Metadata for all EMEA languages
Areas of Accountability
Who is the individual accountable to, what are they accountable for and what if any budget responsibility do they have
The role is accountable to the Senior Manager, Client Services, New Business & Broadcast Operations EMEA.
Experience and Professional Qualifications Required
Number of years’ experience, Qualifications and People Management experience
Proficient in following applications: Channel Management Systems preferably IBMS and\or Whats On, Microsoft Excel, SharePoint, Microsoft Word, Microsoft Outlook, Internet Explorer
Working and communicating effectively with satellite teams
Setting up processes for the current systems and any upcoming changes/systems updates
Training
Skills Required
Highlighting the key technical, language and job related skills required
Ability to coordinate a large amount of information accurately and to deadlines
Excellent attention to detail and accuracy
Excellent time management
Ability to multitask
Ability to work towards dead-lines
Great coordinating skills
Great communication and interpersonal skills
Competencies Required
Highlighting the key competencies required for each role:
Builds Relationships
Interacts well with people who have different backgrounds and work styles
Manages the needs of diverse stakeholders
Resolves conflicts effectively
Communicates Effectively
Listens and asks questions to ensure understanding
Conveys relevant information in a candid and timely manner
Tailors messages appropriately to the audience
Thinks Strategically
Examines issues from a broad perspective, considering impact beyond immediate scope
Develops clear and consistent strategies to achieve the vision
Uses knowledge of the company’s products and services to meet customer needs and financial targets
Champions Change
Demonstrates flexibility in response to changes
Remains productive despite uncertainty
Drives Results
Uses technology to facilitate better results
Keeps commitments
21/02/2020
Full time
Data Management Coordinator
Description
To be responsible within the Broadcast Operations team for creating and managing global titles, inputting metadata into the Chanel Management System (IBMS\WON) for EMEA content. Until all EMEA territories are live on WON the role includes working with the Data Migration team and the Business Analysts to migrate the remaining territories onto WON. Team expert on WON and liaison for relevant projects.
Create global seasons, specials and movies in CMS
Manage contracts and rights creation within CMS
Update and manage the metadata content entry for all assets entered into CMS
Work closely with Disney Channels EMEA local Programming and Operation teams on managing pan-EMEA Channels content database and coordinate pan-regional and local content input
Work closely with EMEA CPS team and local programming teams on content launch timelines to ensure timely content input for global content and Multi-Territory Acquisitions in time for the first territory to transmit
As required working with the CMS teams on UAT, development, workflows and hyper care for CMS and any territories involved
Managing various SharePoints and Distribution Lists relating to the role including uploading documents and granting user rights:
IBMS Mirroring SharePoint
IBMS Audit Sign Off
BOLT
SONAR
Communicate with Disney Channels EMEA local planning teams to insure fullest and correct insertion of the information and metadata into IBMS
Work with DCVI to coordinate delivery of translations of Descriptive Metadata for all EMEA languages
Areas of Accountability
Who is the individual accountable to, what are they accountable for and what if any budget responsibility do they have
The role is accountable to the Senior Manager, Client Services, New Business & Broadcast Operations EMEA.
Experience and Professional Qualifications Required
Number of years’ experience, Qualifications and People Management experience
Proficient in following applications: Channel Management Systems preferably IBMS and\or Whats On, Microsoft Excel, SharePoint, Microsoft Word, Microsoft Outlook, Internet Explorer
Working and communicating effectively with satellite teams
Setting up processes for the current systems and any upcoming changes/systems updates
Training
Skills Required
Highlighting the key technical, language and job related skills required
Ability to coordinate a large amount of information accurately and to deadlines
Excellent attention to detail and accuracy
Excellent time management
Ability to multitask
Ability to work towards dead-lines
Great coordinating skills
Great communication and interpersonal skills
Competencies Required
Highlighting the key competencies required for each role:
Builds Relationships
Interacts well with people who have different backgrounds and work styles
Manages the needs of diverse stakeholders
Resolves conflicts effectively
Communicates Effectively
Listens and asks questions to ensure understanding
Conveys relevant information in a candid and timely manner
Tailors messages appropriately to the audience
Thinks Strategically
Examines issues from a broad perspective, considering impact beyond immediate scope
Develops clear and consistent strategies to achieve the vision
Uses knowledge of the company’s products and services to meet customer needs and financial targets
Champions Change
Demonstrates flexibility in response to changes
Remains productive despite uncertainty
Drives Results
Uses technology to facilitate better results
Keeps commitments
Marketing & Data Scientist – Big Data, R, Python, Machine Learning
This global insight business is looking to add to its London-based data science team. This Marketing & Data Scientist position demands both technical ability and commercial acumen. With a strong background in statistics, survey methodology and advanced analytics, you will also have had some exposure to data science methods such as artificial intelligence and machine learning. You will be au fait with a range of statistical techniques such as segmentation, clustering, correspondence analysis, factor analysis and regression and tools such as SPSS, R and SQL.
In this role you will be involved in working with unstructured data, big data, social media, digital and research data using packages like Hive, R and Python
Skills and Experience required will include:
Postgrad degree in Statistics, Data Science or analysis,
Advanced knowledge of R
Experience of SAS or SPSS
Experience of SQL queries
Big data exposure to languages such as Hive, PIG
Experience of integrating and modelling behavioural data, including segmentation and predictive analytics
This opportunity will suit an effective communicator who is adept at proposal writing and presenting to clients too. Fantastic role in a forward-facing team.
19/02/2020
Full time
Marketing & Data Scientist – Big Data, R, Python, Machine Learning
This global insight business is looking to add to its London-based data science team. This Marketing & Data Scientist position demands both technical ability and commercial acumen. With a strong background in statistics, survey methodology and advanced analytics, you will also have had some exposure to data science methods such as artificial intelligence and machine learning. You will be au fait with a range of statistical techniques such as segmentation, clustering, correspondence analysis, factor analysis and regression and tools such as SPSS, R and SQL.
In this role you will be involved in working with unstructured data, big data, social media, digital and research data using packages like Hive, R and Python
Skills and Experience required will include:
Postgrad degree in Statistics, Data Science or analysis,
Advanced knowledge of R
Experience of SAS or SPSS
Experience of SQL queries
Big data exposure to languages such as Hive, PIG
Experience of integrating and modelling behavioural data, including segmentation and predictive analytics
This opportunity will suit an effective communicator who is adept at proposal writing and presenting to clients too. Fantastic role in a forward-facing team.
The data engineering team at Confused.com is committed to providing high-quality data/reporting services to our customers. We’re looking for a Senior Data Engineer , a role that has evolved from the role traditional Senior SQL Developer. Ideally, we’re looking for an experienced cloud engineer, but we would consider taking on someone who is an experienced SQL developer with the capability and drive to fill this role. The role With the rise of the cloud, data has become more important than ever, and this role provides an opportunity for the right person to shine as a data expert. Working closely with colleagues from across the business, you’ll get the chance to expand your knowledge of different data technologies and explore new and exciting capabilities—including big data and artificial intelligence. You’ll be working with a team of data experts tasked with fully automating a new cloud data platform as well as maintaining our existing solution. Within Confused.com, there’s a growing focus on data and data-driven decision-making. As such, we’ll rely on you to generate well-articulated data-oriented test cases and determine the positive, negative and boundary cases. We work in a fast-paced, agile, and continuous delivery release-driven environment. The right candidate for this position will be motivated by this challenge and will help to develop our future ways of working. Coding languages currently used by the team SQL Server 2016 and above, Azure DevOps, C#, Business Intelligence Markup Language (BIML), PowerShell, Azure Resource Manager (ARM), Tableau. Key competencies You’ll work closely with our cross-functional agile product teams to identify and deliver projects that will drive value to customers of Confused.com. Experience of working in highly dynamic teams using agile methodologies Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, including third-party providers and our existing Azure platform. Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. Foster a self-service data culture; working closely with other data engineers, architects, and technologists to share knowledge, evaluate opportunities and proactively recommend improvements in architecture, pipelines, data models, tools and processes. Translates data into valuable insights that inform decisions. Involves teams in analytics and synthesis to increase consensus and challenge assumptions. Must be passionate about DevOps and have a resilient attitude in pushing the DevOps perspective within a Kanban team. Maintaining and creating continuous delivery pipelines in Azure DevOps. Positive outlook and desire to learn and help drive and instil technical excellence within the Confused.com IT department. Deliver projects to time, budget and quality in order to deliver business goals. Essential skills Experience of tools such as VSTS (Azure DevOps). Designs, writes and iterates code from prototype to production-ready. Understands security, accessibility and version control. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools. Strong SQL skills and familiarity with data modelling and relational databases. A passion for data, cloud-based services and customer experience. Knowledge and experience of Kimball design. Ensures risks associated with deployment are adequately understood and documented. Desirable skills Keeping current with new capabilities of and improvements in the services provided by Microsoft. Experience with code versioning systems (e.g. git) and CI/CD tools such as MS Build. Hands-on experience in cloud based services, most notably Database, Compute and Storage Develops fit for purpose, resilient, scalable and future-proof data services to meet user needs. Has a demonstrable understanding of how to expose data from systems (for example, through APIs), link data from multiple systems and deliver streaming services. Experience of cloud-based testing. At Confused.com, we are proud to be a diverse business where we put our people and customers first. We understand that a good work life balance is important, and we want you to have an element of freedom to define a working lifestyle that supports this. We are happy to talk about flexible working. Please contact recruitment@confused.com for more information. Next steps: If you’d like to know any more about the position or Confused.com as an employer, please feel free to drop her an email Recruitment@confused.com If you would like to apply please complete the application form and attach your CV.
19/02/2020
Full time
The data engineering team at Confused.com is committed to providing high-quality data/reporting services to our customers. We’re looking for a Senior Data Engineer , a role that has evolved from the role traditional Senior SQL Developer. Ideally, we’re looking for an experienced cloud engineer, but we would consider taking on someone who is an experienced SQL developer with the capability and drive to fill this role. The role With the rise of the cloud, data has become more important than ever, and this role provides an opportunity for the right person to shine as a data expert. Working closely with colleagues from across the business, you’ll get the chance to expand your knowledge of different data technologies and explore new and exciting capabilities—including big data and artificial intelligence. You’ll be working with a team of data experts tasked with fully automating a new cloud data platform as well as maintaining our existing solution. Within Confused.com, there’s a growing focus on data and data-driven decision-making. As such, we’ll rely on you to generate well-articulated data-oriented test cases and determine the positive, negative and boundary cases. We work in a fast-paced, agile, and continuous delivery release-driven environment. The right candidate for this position will be motivated by this challenge and will help to develop our future ways of working. Coding languages currently used by the team SQL Server 2016 and above, Azure DevOps, C#, Business Intelligence Markup Language (BIML), PowerShell, Azure Resource Manager (ARM), Tableau. Key competencies You’ll work closely with our cross-functional agile product teams to identify and deliver projects that will drive value to customers of Confused.com. Experience of working in highly dynamic teams using agile methodologies Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, including third-party providers and our existing Azure platform. Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. Foster a self-service data culture; working closely with other data engineers, architects, and technologists to share knowledge, evaluate opportunities and proactively recommend improvements in architecture, pipelines, data models, tools and processes. Translates data into valuable insights that inform decisions. Involves teams in analytics and synthesis to increase consensus and challenge assumptions. Must be passionate about DevOps and have a resilient attitude in pushing the DevOps perspective within a Kanban team. Maintaining and creating continuous delivery pipelines in Azure DevOps. Positive outlook and desire to learn and help drive and instil technical excellence within the Confused.com IT department. Deliver projects to time, budget and quality in order to deliver business goals. Essential skills Experience of tools such as VSTS (Azure DevOps). Designs, writes and iterates code from prototype to production-ready. Understands security, accessibility and version control. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools. Strong SQL skills and familiarity with data modelling and relational databases. A passion for data, cloud-based services and customer experience. Knowledge and experience of Kimball design. Ensures risks associated with deployment are adequately understood and documented. Desirable skills Keeping current with new capabilities of and improvements in the services provided by Microsoft. Experience with code versioning systems (e.g. git) and CI/CD tools such as MS Build. Hands-on experience in cloud based services, most notably Database, Compute and Storage Develops fit for purpose, resilient, scalable and future-proof data services to meet user needs. Has a demonstrable understanding of how to expose data from systems (for example, through APIs), link data from multiple systems and deliver streaming services. Experience of cloud-based testing. At Confused.com, we are proud to be a diverse business where we put our people and customers first. We understand that a good work life balance is important, and we want you to have an element of freedom to define a working lifestyle that supports this. We are happy to talk about flexible working. Please contact recruitment@confused.com for more information. Next steps: If you’d like to know any more about the position or Confused.com as an employer, please feel free to drop her an email Recruitment@confused.com If you would like to apply please complete the application form and attach your CV.
Transition Partners Limited
AI / Machine Learning Principal Enterprise Architect – Open Salary + Excellent Benefits
Central London, Bristol or Ipswich
Transition Partners are currently recruiting for a Principle Enterprise Architect (Cognitive Technologies) to join a globally branded organisation who have a number of offices across the UK.
This truly is an exciting time to join our client on a massive, multi-billion pound digital transformation programme.
As the Principle Enterprise Architect you will be working heavily with AI/Machine Learning/ RPA based technologies delivering innovative solutions to help develop, design and implement more intelligent services to create world-class AI driven solutions.
The Principle Enterprise Architect will work on Architecture specifically with patterns of Cognitive Technologies, implementing new ideas and redeveloping products to make them more scalable.
Required skills:
Experienced Enterprise Architect demonstrating strong experience of Enterprise Architecture in different sectors.
Experienced in developing strategy across a number of environments design roadmaps and best practice.
You will be an excellent leader showing stakeholder management at senior level.
You will have experience implementing technologies such as Deep learning, Machine Learning, process automation, Visual, Language and Smart Machines.
Proven experience and understanding of Cognitive technologies.
You will have experience with practical implementations and CI/CD approaches
Please APPLY to this opportunity today for more information!
Cognitive technologies, Machine Learning, ML, Visual identification, Language services, Sensor based networks, Smart machines, Optimisation, Robotics, process automation, Artificial Intelligence, AI,
We will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you. We may contact you from time to time about other relevant roles. Your personal information will be securely held
19/02/2020
Full time
Transition Partners Limited
AI / Machine Learning Principal Enterprise Architect – Open Salary + Excellent Benefits
Central London, Bristol or Ipswich
Transition Partners are currently recruiting for a Principle Enterprise Architect (Cognitive Technologies) to join a globally branded organisation who have a number of offices across the UK.
This truly is an exciting time to join our client on a massive, multi-billion pound digital transformation programme.
As the Principle Enterprise Architect you will be working heavily with AI/Machine Learning/ RPA based technologies delivering innovative solutions to help develop, design and implement more intelligent services to create world-class AI driven solutions.
The Principle Enterprise Architect will work on Architecture specifically with patterns of Cognitive Technologies, implementing new ideas and redeveloping products to make them more scalable.
Required skills:
Experienced Enterprise Architect demonstrating strong experience of Enterprise Architecture in different sectors.
Experienced in developing strategy across a number of environments design roadmaps and best practice.
You will be an excellent leader showing stakeholder management at senior level.
You will have experience implementing technologies such as Deep learning, Machine Learning, process automation, Visual, Language and Smart Machines.
Proven experience and understanding of Cognitive technologies.
You will have experience with practical implementations and CI/CD approaches
Please APPLY to this opportunity today for more information!
Cognitive technologies, Machine Learning, ML, Visual identification, Language services, Sensor based networks, Smart machines, Optimisation, Robotics, process automation, Artificial Intelligence, AI,
We will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you. We may contact you from time to time about other relevant roles. Your personal information will be securely held
Smiths Detection in Hemel Hempstead are recruiting a Senior Software Engineer who will lead the design and development of software projects to cost, quality & schedule. For a given project you will lead the planning and design activities then monitor the execution of consequent work packages to completion within the defined scope and budget.
Duties and Responsibilities
Design, Architect, Plan & estimate project work.
Evaluating design options against technical & project criteria.
Lead and report progress of all technical activities against target to stakeholders.
Active participation in design reviews.
Design, simulate, test & record results to verify requirements.
Work with appropriate software development tools for source control, issue and task tracking applications as appropriate.
Keep design records of software development in line with process requirements.
Acquire an in-depth understanding of the product under development.
Follows policies, processes and standards to achieve excellence the discipline.
Organising personal workload including managing multiple tasks.
Seek to improve the software development process
Actively communicate with other members of the local software team, other disciplines and the wider Smiths Detection community.
Responsible for personal health, safety of yourself & others.
Attend training to develop relevant knowledge & skills.
Ensures adherence to business policies, Legal requirements, Ethics.
Required Skills and Experience
Essential Skills
1st or 2:1 degree in a relevant discipline
4+ years industrial experience
Technical team leader experience
Experienced in following formal development processes
Experience of object-oriented development
Experience of test-driven development
Experience of networking technologies
Experience of developing for RTOS, Bare Metal or Linux embedded target environments
Experience of kernel configuration and driver development
Solid C/C++
Understanding of cybersecurity issues
Advantageous Skills :
Experience of developing for Windows or Web applications
Experience of UML
Experience of other programming languages
Knowledge of Artificial Intelligence or Machine Learning
About us
Smiths is always looking for curious minds. For new colleagues who want responsibility and relish a challenge. Those who would like to use their talents to help make the world safer, healthier, more efficient and more connected.
We're proud that we've been helping propel the human world forwards during our 160 year history of innovation. By looking at things differently. By adapting and never standing still. And by always thinking big.
Today we're an aligned global business of five divisions and around 22,000 colleagues,that touches the lives of millions every year across five vibrant global markets.
Smiths Detection is a global authority on the application, management and manufacture of world-class detection and screening technology. We deliver the solutions you need to protect society from the threat and illegal passage of explosives, prohibited weapons, contraband, toxic chemicals and narcotics.
Known for our best-in-class expertise, equipment and support, customers rely on Smiths Detection to help them make the world a more secure place. With over 40 years’ experience, our mission is to use technology to develop innovative solutions and services which uphold the free flow of trade and make the world a safer place.
So whether you're an experienced professional or just starting out on your career, our global scale and focus on growth means great career opportunities for the right colleagues. There's never been a better time to join Smiths. And help us create the future.
Diversity & Inclusion
We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.
19/02/2020
Full time
Smiths Detection in Hemel Hempstead are recruiting a Senior Software Engineer who will lead the design and development of software projects to cost, quality & schedule. For a given project you will lead the planning and design activities then monitor the execution of consequent work packages to completion within the defined scope and budget.
Duties and Responsibilities
Design, Architect, Plan & estimate project work.
Evaluating design options against technical & project criteria.
Lead and report progress of all technical activities against target to stakeholders.
Active participation in design reviews.
Design, simulate, test & record results to verify requirements.
Work with appropriate software development tools for source control, issue and task tracking applications as appropriate.
Keep design records of software development in line with process requirements.
Acquire an in-depth understanding of the product under development.
Follows policies, processes and standards to achieve excellence the discipline.
Organising personal workload including managing multiple tasks.
Seek to improve the software development process
Actively communicate with other members of the local software team, other disciplines and the wider Smiths Detection community.
Responsible for personal health, safety of yourself & others.
Attend training to develop relevant knowledge & skills.
Ensures adherence to business policies, Legal requirements, Ethics.
Required Skills and Experience
Essential Skills
1st or 2:1 degree in a relevant discipline
4+ years industrial experience
Technical team leader experience
Experienced in following formal development processes
Experience of object-oriented development
Experience of test-driven development
Experience of networking technologies
Experience of developing for RTOS, Bare Metal or Linux embedded target environments
Experience of kernel configuration and driver development
Solid C/C++
Understanding of cybersecurity issues
Advantageous Skills :
Experience of developing for Windows or Web applications
Experience of UML
Experience of other programming languages
Knowledge of Artificial Intelligence or Machine Learning
About us
Smiths is always looking for curious minds. For new colleagues who want responsibility and relish a challenge. Those who would like to use their talents to help make the world safer, healthier, more efficient and more connected.
We're proud that we've been helping propel the human world forwards during our 160 year history of innovation. By looking at things differently. By adapting and never standing still. And by always thinking big.
Today we're an aligned global business of five divisions and around 22,000 colleagues,that touches the lives of millions every year across five vibrant global markets.
Smiths Detection is a global authority on the application, management and manufacture of world-class detection and screening technology. We deliver the solutions you need to protect society from the threat and illegal passage of explosives, prohibited weapons, contraband, toxic chemicals and narcotics.
Known for our best-in-class expertise, equipment and support, customers rely on Smiths Detection to help them make the world a more secure place. With over 40 years’ experience, our mission is to use technology to develop innovative solutions and services which uphold the free flow of trade and make the world a safer place.
So whether you're an experienced professional or just starting out on your career, our global scale and focus on growth means great career opportunities for the right colleagues. There's never been a better time to join Smiths. And help us create the future.
Diversity & Inclusion
We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.
Real World Science, Data Scientist Cambridge, UK
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. We’re focused on the potential of science to address the unmet needs of patients around the world. We commit to those areas where we think we can really change the course of medicine and bring big new ideas to life.
The Role
The Real World Science & Digital team is a growing group within AstraZeneca’s global Evidence function which is driving the scientific use of Real World Data to accelerate the way patients access innovative medicines. The Real World Science and Digital team comprises of a core quantitative group, Digital Platform leads and Data Strategy experts providing AstraZeneca with an enterprise hub for Real World Science. AstraZeneca has a rich history in Real World Evidence, having developed a coherent strategy to develop and internalize data assets the group is now amplifying those investments through a dedicated Real World Data Science capability. Real World Data Scientists who are successful in this role will work on challenging problems, using innovative approaches to accelerate the delivery of Real World Insights and Evidence for key internal and external stakeholders.
The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected data from healthcare settings to provide health analytics and insights in a range of contexts including Public Health, Pharmaceutical Research and Development and Commercial/ Payer.
They will collaborate with colleagues in Epidemiology, Statistics and Payer, giving scientific and technical guidance on study design, RW data selection and best practice in RW data utilization.
In addition, they will assist in advancing and shaping AZ’s Real World Science data strategy through the due diligence on new data providers/vendors, informatics support for data acquisitions in a range of Therapeutic Areas.
The role will promote best practice in Real World Data Science across multiple domains, and/or stakeholder groups.
Typical Accountabilities
Collaborate with Payer and Epidemiology teams to maximise the value derived from large observational research data
Deliver analyses of data from EMR, claims and primary observational data required by TA RWE strategies
Support the development of IVS strategies and selection of optimised contact models for prioritised markets through analysis of RWD
Provide scientific guidance on the application of Real World Evidence and observational research data to address issues across the Oncology and Biopharmaceuticals business units
Provide technical input, options and directions to strategic decisions made by AZ observational study teams on study design, data partner selection and best practices in RWE data utilization
Support technical teams to provide access to analytical tools and develop visual analytics to enable self-serving applications for end customers
Provide clear technical input, options, and direction to strategic decisions on RWE platform and capability build
Provide support for strategic decisions on AZ Medical Evidence and Observational Research external collaborations in the US and other markets
Assist in building a capability that becomes a source of sustained competitive advantage for AZ in identifying, acquiring, integrating and mining diverse RW data from multiple geographic and healthcare system sources to support evidence generation and real-world studies
Evaluate and assess strengths and weaknesses of external RW data sources, and potential partners for advancing the data strategy for specific therapeutic areas
Maintain a strong insight into the capabilities of potential external partners in RWE, especially for US and emerging markets.
Education, Qualifications, Skills and Experience
Essential
PhD or MS in data science or other advanced degree in life sciences with post doctoral or other training/work in Medical/Health Informatics or related field
Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modelling
Expertise in EMR/Health IT, disease registries, and insurance claims databases
Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
Experience in supporting pharmacoepidemiology studies with proven track record of advancing approaches with data science
Experience in Statistical Analysis Plan (SAP) generation and execution for observational studies
Expertise in methods development and application using statistical languages such as R/Matlab/SAS/SQL/Hadoop/Python
Experience in advanced visualisation and visual analytics of routinely collected healthcare data
Desirable
Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data
A history of patient care or equivalent background of working at a patient care setting that allows the candidate to bring medical perspective into real-world evidence generation and observational studies
Demonstrated ability to build long-term relationships with stakeholders at senior levels, understand relevant scientific/business challenges at a deep level and translate into a programme of informatics activities to deliver defined value
Ability to lead & manage multi-disciplinary data science projects
Strong track record of delivering large, cross functional projects
Experience working in a global organization and delivering global solutions
Use of Machine Learning and Artificial Intelligence in the generation of hypotheses within Real World Data
19/02/2020
Full time
Real World Science, Data Scientist Cambridge, UK
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. We’re focused on the potential of science to address the unmet needs of patients around the world. We commit to those areas where we think we can really change the course of medicine and bring big new ideas to life.
The Role
The Real World Science & Digital team is a growing group within AstraZeneca’s global Evidence function which is driving the scientific use of Real World Data to accelerate the way patients access innovative medicines. The Real World Science and Digital team comprises of a core quantitative group, Digital Platform leads and Data Strategy experts providing AstraZeneca with an enterprise hub for Real World Science. AstraZeneca has a rich history in Real World Evidence, having developed a coherent strategy to develop and internalize data assets the group is now amplifying those investments through a dedicated Real World Data Science capability. Real World Data Scientists who are successful in this role will work on challenging problems, using innovative approaches to accelerate the delivery of Real World Insights and Evidence for key internal and external stakeholders.
The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected data from healthcare settings to provide health analytics and insights in a range of contexts including Public Health, Pharmaceutical Research and Development and Commercial/ Payer.
They will collaborate with colleagues in Epidemiology, Statistics and Payer, giving scientific and technical guidance on study design, RW data selection and best practice in RW data utilization.
In addition, they will assist in advancing and shaping AZ’s Real World Science data strategy through the due diligence on new data providers/vendors, informatics support for data acquisitions in a range of Therapeutic Areas.
The role will promote best practice in Real World Data Science across multiple domains, and/or stakeholder groups.
Typical Accountabilities
Collaborate with Payer and Epidemiology teams to maximise the value derived from large observational research data
Deliver analyses of data from EMR, claims and primary observational data required by TA RWE strategies
Support the development of IVS strategies and selection of optimised contact models for prioritised markets through analysis of RWD
Provide scientific guidance on the application of Real World Evidence and observational research data to address issues across the Oncology and Biopharmaceuticals business units
Provide technical input, options and directions to strategic decisions made by AZ observational study teams on study design, data partner selection and best practices in RWE data utilization
Support technical teams to provide access to analytical tools and develop visual analytics to enable self-serving applications for end customers
Provide clear technical input, options, and direction to strategic decisions on RWE platform and capability build
Provide support for strategic decisions on AZ Medical Evidence and Observational Research external collaborations in the US and other markets
Assist in building a capability that becomes a source of sustained competitive advantage for AZ in identifying, acquiring, integrating and mining diverse RW data from multiple geographic and healthcare system sources to support evidence generation and real-world studies
Evaluate and assess strengths and weaknesses of external RW data sources, and potential partners for advancing the data strategy for specific therapeutic areas
Maintain a strong insight into the capabilities of potential external partners in RWE, especially for US and emerging markets.
Education, Qualifications, Skills and Experience
Essential
PhD or MS in data science or other advanced degree in life sciences with post doctoral or other training/work in Medical/Health Informatics or related field
Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modelling
Expertise in EMR/Health IT, disease registries, and insurance claims databases
Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
Experience in supporting pharmacoepidemiology studies with proven track record of advancing approaches with data science
Experience in Statistical Analysis Plan (SAP) generation and execution for observational studies
Expertise in methods development and application using statistical languages such as R/Matlab/SAS/SQL/Hadoop/Python
Experience in advanced visualisation and visual analytics of routinely collected healthcare data
Desirable
Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data
A history of patient care or equivalent background of working at a patient care setting that allows the candidate to bring medical perspective into real-world evidence generation and observational studies
Demonstrated ability to build long-term relationships with stakeholders at senior levels, understand relevant scientific/business challenges at a deep level and translate into a programme of informatics activities to deliver defined value
Ability to lead & manage multi-disciplinary data science projects
Strong track record of delivering large, cross functional projects
Experience working in a global organization and delivering global solutions
Use of Machine Learning and Artificial Intelligence in the generation of hypotheses within Real World Data
The School of Engineering, Computing and Mathematics offers a wide range of degree programmes related to Technology in the areas of Robotics, Electronics, Computer Science and Mathematics. Providing a stimulating teaching and research environment with strong connections to business and industry, we offer excellent employment prospects for our graduates. We have a well-established interdisciplinary research base which covers: Centre for Robotics and Neural Systems (CRNS); Security, Communications & Networks; Nanotechnology & Electronics Research and Development.
We have a vacancy for an enthusiastic, innovative and dynamic individual to join our vibrant School to support Robotics, Artificial Intelligence and Machine Learning, especially applied to solving real-world problems by building systems that can operate near people. Areas of interest include (but are not limited to) Robotic System Design, Mobile and Industrial Manipulation, Machine Learning for Control and Recognition, Human Motor Control, Kinematics and Dynamics of robotics systems.
Applications are invited from experienced academics and/or professional engineers, who can demonstrate a commitment and enthusiasm for innovation in higher education and to the development of the next generation of Engineers. You must have undergraduate and postgraduate degrees in relevant disciplines (such as Engineering/Maths/Physics/Computer Science), together with an international profile and reputation for research excellence.
As well as carrying out cutting edge research, you will supervise and contribute to training of Research Assistants (RAs) and PhD students, as well as undergraduate and graduate teaching within the School. The Electronics and Robotics subject groups are renowned for excellence in producing high quality practical engineers and you should be able to support hardware and software projects.
This is a full-time position working 37 hours per week on a permanent basis.
Informal enquiries regarding the post can be made to Dr Toby Whitley: toby.whitley@plymouth.ac.uk
Further information about the school and its courses is available at https://www.plymouth.ac.uk/schools/school-of-engineering-computing-and-mathematics with details of our research centre available at https://www.plymouth.ac.uk/research/robotics-neural-systems
The University of Plymouth is committed to equality of opportunity, promoting a diverse and inclusive culture, demonstrated through our commitment to the gender equality Athena SWAN Charter and as a Stonewall diversity champion. All applications will be judged solely on merit, however, we particularly welcome applications from groups currently under-represented in the workforce, for example black and minority ethnic groups.
University of Plymouth holds a TEF (Teaching Excellence and Student Outcomes Framework) Silver by the Office for Students
19/02/2020
Full time
The School of Engineering, Computing and Mathematics offers a wide range of degree programmes related to Technology in the areas of Robotics, Electronics, Computer Science and Mathematics. Providing a stimulating teaching and research environment with strong connections to business and industry, we offer excellent employment prospects for our graduates. We have a well-established interdisciplinary research base which covers: Centre for Robotics and Neural Systems (CRNS); Security, Communications & Networks; Nanotechnology & Electronics Research and Development.
We have a vacancy for an enthusiastic, innovative and dynamic individual to join our vibrant School to support Robotics, Artificial Intelligence and Machine Learning, especially applied to solving real-world problems by building systems that can operate near people. Areas of interest include (but are not limited to) Robotic System Design, Mobile and Industrial Manipulation, Machine Learning for Control and Recognition, Human Motor Control, Kinematics and Dynamics of robotics systems.
Applications are invited from experienced academics and/or professional engineers, who can demonstrate a commitment and enthusiasm for innovation in higher education and to the development of the next generation of Engineers. You must have undergraduate and postgraduate degrees in relevant disciplines (such as Engineering/Maths/Physics/Computer Science), together with an international profile and reputation for research excellence.
As well as carrying out cutting edge research, you will supervise and contribute to training of Research Assistants (RAs) and PhD students, as well as undergraduate and graduate teaching within the School. The Electronics and Robotics subject groups are renowned for excellence in producing high quality practical engineers and you should be able to support hardware and software projects.
This is a full-time position working 37 hours per week on a permanent basis.
Informal enquiries regarding the post can be made to Dr Toby Whitley: toby.whitley@plymouth.ac.uk
Further information about the school and its courses is available at https://www.plymouth.ac.uk/schools/school-of-engineering-computing-and-mathematics with details of our research centre available at https://www.plymouth.ac.uk/research/robotics-neural-systems
The University of Plymouth is committed to equality of opportunity, promoting a diverse and inclusive culture, demonstrated through our commitment to the gender equality Athena SWAN Charter and as a Stonewall diversity champion. All applications will be judged solely on merit, however, we particularly welcome applications from groups currently under-represented in the workforce, for example black and minority ethnic groups.
University of Plymouth holds a TEF (Teaching Excellence and Student Outcomes Framework) Silver by the Office for Students
Ever wondered what thinking goes behind driverless cars? Want to work on very real problems impacting on the success and future of Artificial Intelligence? As a Software Engineer, you'll be working on complex problems Silicon Valley haven't even attempted to solve. You'll contribute to solving the urban driving problem, teaching a computer to train its own algorithms. Alongside the smartest engineers in the country, you will work on mathematical algorithms with C++ and Python. Joining an international team of engineers committed contributing to the aspirational lengths of Artificial Intelligence. You're someone who is excited by puzzles, problems and making your brain really tick. You will work on real software, training AI agents in datasets contributing to eliminating the risks and therefore the success of driverless cars. If you have an excellent academic background in Maths, Science or Physics, then you'll be working alongside similar individuals. Not only will you join an industry everyone is talking about, you'll also work for a startup with huge opportunity and value in shares, rewarded for your hard work. Pretty cool, right? To be in for a chance of being considered for this position, please get in touch.
19/02/2020
Full time
Ever wondered what thinking goes behind driverless cars? Want to work on very real problems impacting on the success and future of Artificial Intelligence? As a Software Engineer, you'll be working on complex problems Silicon Valley haven't even attempted to solve. You'll contribute to solving the urban driving problem, teaching a computer to train its own algorithms. Alongside the smartest engineers in the country, you will work on mathematical algorithms with C++ and Python. Joining an international team of engineers committed contributing to the aspirational lengths of Artificial Intelligence. You're someone who is excited by puzzles, problems and making your brain really tick. You will work on real software, training AI agents in datasets contributing to eliminating the risks and therefore the success of driverless cars. If you have an excellent academic background in Maths, Science or Physics, then you'll be working alongside similar individuals. Not only will you join an industry everyone is talking about, you'll also work for a startup with huge opportunity and value in shares, rewarded for your hard work. Pretty cool, right? To be in for a chance of being considered for this position, please get in touch.
