Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist Engineer, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist Engineer, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong experience and knowledge of computer science, data processing, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: You get things done and inspire your teams to do the same
An Analyst: You LOVE data and think every company should take their decisions with facts
A Pragmatist: You have a hacker mindset and always find the quick wins
A Mentor: Your clients and teams naturally seek for advice
An Adventurer: You’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: Come and build the future of marketing
Progress: Every day offers new challenges and new opportunities to learn
Culture: Join the best team you could ever imagine
Entrepreneurship: You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Come join us!
18/03/2019
Full time
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist Engineer, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist Engineer, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong experience and knowledge of computer science, data processing, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: You get things done and inspire your teams to do the same
An Analyst: You LOVE data and think every company should take their decisions with facts
A Pragmatist: You have a hacker mindset and always find the quick wins
A Mentor: Your clients and teams naturally seek for advice
An Adventurer: You’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: Come and build the future of marketing
Progress: Every day offers new challenges and new opportunities to learn
Culture: Join the best team you could ever imagine
Entrepreneurship: You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Come join us!
Pharmaceutical Sciences at AstraZeneca is developing a digital transformation strategy to drive innovation, optimization of the drug development process and data-driven decision making . We are now recruiting two highly skilled and motivated scientists to specialise in the application of artificial intelligence (AI) and machine learning (ML) in the Early Chemistry Development (ECD) function within the Pharmaceutical Sciences function. One role will focus on synthesis planning and one role will be a data scientist in process design .
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. The Pharmaceutical Sciences’ mission is to transform molecules into investigational medicines, meeting the unmet needs of future patients. Our portfolio of projects covers all AstraZeneca’s therapy areas, spanning traditional small molecules, proteins, oligonucleotides and RNA based therapeutics. The ECD group is a multidisciplinary function comprising chemistry, analytical, biopharmaceutics, solid state and predictive sciences. We provide input into compound design & selection, as well as API route and process design from discovery up to and including Phase II clinical studies.
As a Senior Scientist/Associate Principal Scientist within the Computational Pharmaceutics team, you will lead scientific development in one of following areas.
Synthesis planning: Developing synthesis planning approaches for route selection and process design using AI & ML approaches. This role is focused on reaction optimization and route design to support drug development. The role will exploit internal and external databases to develop route selection workflows optimized for AstraZeneca chemists. The role is placed either in Macclesfield (UK) or in Gothenburg (Sweden).
Data scientist for process design : Working with the Pharmaceutical sciences community to adopt a data-first culture, recognizing opportunities to utilise AI & ML to generate knowledge and innovation and work alongside scientific experts to design projects to optimize underlying data structure. The role will focus on data extraction, analysis and capture strategies to support data-driven decision making. As the lead Data Scientist in ECD you will maintain awareness of state -of-the art applications of AI and engage with AZ leadership to design and influence strategic decisions. The role is placed Gothenburg (Sweden).
Major Duties and Responsibilities
In these roles, you will work across the Global Pharmaceutical Sciences departments along with other senior scientists to pro vide scientific leadership and drive innovation. You will be responsible for engaging with key internal and external stakeholders to identify and validate impactful solutions, through the use of machine leaning, data analysis and statistical techniques. You will be at the forefront of the digital transformation within AstraZeneca and drive the development of the digital transformation Pharmaceutical Sciences strategy. Specific responsibilities include:
You will work in chemical development projects, and platform capability teams to identify opportunities to deliver solutions using machine learning, advanced data mining and predictive modelling.
Develop novel algorithms, techniques and curate datasets to answer relevant drug development challenges.
Impact chemical development projects by efficiently and pro-actively applying machine-learning to route and process design challenges.
Establishing academic collaborations to access and drive the development of machine learning to process chemistry.
Represent Pharmaceutical Sciences modelling and simulation externally to drive scientific excellence and AstraZeneca’s reputation in the field.
The candidate will be expected to plan, write and publish high quality scientific papers.
Act as a role model and mentor to scientists with less experience in machine learning and champion FAIR data practices.
Develop training material and provide training to AstraZeneca user groups.
Requirements
PhD in a relevant area e.g. machine learning, computational chemistry, computer science, data science, mathematics or similar and typically with post-doctoral experience.
Programming proficiency and experience with relevant software tools such as Python, R or similar), version control (Git/Bitbucket) and database tools.
Excellent awareness of recent literature within field of expertise and relevant publication record.
Good track record of professional achievement and recognition in own field.
Understanding of pharmaceutical R&D and the wider business.
Able to think beyond boundaries of own job, challenging status quo and seeking opportunities for business improvement.
Capable of making effective decisions, acting courageously and communicating with conviction and inspiration at all levels.
Excellent team working, networking, communication and influencing skills.
Specific technical requirements
Synthesis Planning: (i) Detailed knowledge of a chemoinformatic toolkits, (ii) University level of chemistry will be a minimum requirement.
Data scientist for process Design: (i) Broad experience in data science, statistics, data models/structures, machine learning and AI. (ii) A foundation level knowledge of organic chemistry is desirable.
If you are interested, apply now!
For more information please contact recruiting manager Anders Broo , PhD on +46 722 108177
Welcome with your application no later than April 14, 2019
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
14/03/2019
Full time
Pharmaceutical Sciences at AstraZeneca is developing a digital transformation strategy to drive innovation, optimization of the drug development process and data-driven decision making . We are now recruiting two highly skilled and motivated scientists to specialise in the application of artificial intelligence (AI) and machine learning (ML) in the Early Chemistry Development (ECD) function within the Pharmaceutical Sciences function. One role will focus on synthesis planning and one role will be a data scientist in process design .
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. The Pharmaceutical Sciences’ mission is to transform molecules into investigational medicines, meeting the unmet needs of future patients. Our portfolio of projects covers all AstraZeneca’s therapy areas, spanning traditional small molecules, proteins, oligonucleotides and RNA based therapeutics. The ECD group is a multidisciplinary function comprising chemistry, analytical, biopharmaceutics, solid state and predictive sciences. We provide input into compound design & selection, as well as API route and process design from discovery up to and including Phase II clinical studies.
As a Senior Scientist/Associate Principal Scientist within the Computational Pharmaceutics team, you will lead scientific development in one of following areas.
Synthesis planning: Developing synthesis planning approaches for route selection and process design using AI & ML approaches. This role is focused on reaction optimization and route design to support drug development. The role will exploit internal and external databases to develop route selection workflows optimized for AstraZeneca chemists. The role is placed either in Macclesfield (UK) or in Gothenburg (Sweden).
Data scientist for process design : Working with the Pharmaceutical sciences community to adopt a data-first culture, recognizing opportunities to utilise AI & ML to generate knowledge and innovation and work alongside scientific experts to design projects to optimize underlying data structure. The role will focus on data extraction, analysis and capture strategies to support data-driven decision making. As the lead Data Scientist in ECD you will maintain awareness of state -of-the art applications of AI and engage with AZ leadership to design and influence strategic decisions. The role is placed Gothenburg (Sweden).
Major Duties and Responsibilities
In these roles, you will work across the Global Pharmaceutical Sciences departments along with other senior scientists to pro vide scientific leadership and drive innovation. You will be responsible for engaging with key internal and external stakeholders to identify and validate impactful solutions, through the use of machine leaning, data analysis and statistical techniques. You will be at the forefront of the digital transformation within AstraZeneca and drive the development of the digital transformation Pharmaceutical Sciences strategy. Specific responsibilities include:
You will work in chemical development projects, and platform capability teams to identify opportunities to deliver solutions using machine learning, advanced data mining and predictive modelling.
Develop novel algorithms, techniques and curate datasets to answer relevant drug development challenges.
Impact chemical development projects by efficiently and pro-actively applying machine-learning to route and process design challenges.
Establishing academic collaborations to access and drive the development of machine learning to process chemistry.
Represent Pharmaceutical Sciences modelling and simulation externally to drive scientific excellence and AstraZeneca’s reputation in the field.
The candidate will be expected to plan, write and publish high quality scientific papers.
Act as a role model and mentor to scientists with less experience in machine learning and champion FAIR data practices.
Develop training material and provide training to AstraZeneca user groups.
Requirements
PhD in a relevant area e.g. machine learning, computational chemistry, computer science, data science, mathematics or similar and typically with post-doctoral experience.
Programming proficiency and experience with relevant software tools such as Python, R or similar), version control (Git/Bitbucket) and database tools.
Excellent awareness of recent literature within field of expertise and relevant publication record.
Good track record of professional achievement and recognition in own field.
Understanding of pharmaceutical R&D and the wider business.
Able to think beyond boundaries of own job, challenging status quo and seeking opportunities for business improvement.
Capable of making effective decisions, acting courageously and communicating with conviction and inspiration at all levels.
Excellent team working, networking, communication and influencing skills.
Specific technical requirements
Synthesis Planning: (i) Detailed knowledge of a chemoinformatic toolkits, (ii) University level of chemistry will be a minimum requirement.
Data scientist for process Design: (i) Broad experience in data science, statistics, data models/structures, machine learning and AI. (ii) A foundation level knowledge of organic chemistry is desirable.
If you are interested, apply now!
For more information please contact recruiting manager Anders Broo , PhD on +46 722 108177
Welcome with your application no later than April 14, 2019
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
At AstraZeneca when we see an opportunity for change we seize it and make it happen, because an opportunity no matter how small can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential.
The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives. The Oncology Bioinformatics group work within cross-disciplinary drug project teams throughout the discovery and translational pipeline, specializing in NGS and multi-omic data analysis to drive new target discovery, pre-clinical and clinical research.
Excitingly the group is continuing to expand to harness diverse data science within our research, spanning probabilistic and mathematical modelling techniques, machine learning , artificial intelligence (AI), knowledge graphs. We have a fantastic opportunity for a talented and motivated individual to join the team and apply their mathematical skills to drive innovation in our portfolio, working alongside resident domain expertise and the burgeoning data science community across AZ.
Main duties and responsibilities:
Collaborate with drug project bioscience and translational scientists to understand their scientific and technical challenges and identify where data science can best impact.
Collaborate with IT and quantitative science teams to devise innovative data science solutions.
Draw actionable insight by developing and implementing ML/AI and mathematical techniques to big data spanning clinical genomics, pre-clinical assays, and published knowledge.
Build models predicting new drug targets, biomarkers, and drug combination mechanisms.
Publish and engage the AZ and external data science communities.
Proactively engage in knowledge and code sharing and peer support.
Implement and train our bench community in FAIR data practices to augment AI.
Your skills and qualifications will ideally include:
Strong quantitative background with a PhD or equivalent (e.g. Master’s degree plus 2 years’ experience) in mathematics, computational statistics, physics, data science, engineering, or similar.
Strong applied background in one or more of Linear Algebra, Probability Theory (Bayesian, Gaussian logic etc.), and Optimization techniques.
Broad experience in supervised and unsupervised machine learning methods such as random forests, SVMs, penalized regression, KNN, clustering, dimensionality reduction, ensemble methods, Bayesian methods (probabilistic programming, Gaussian processes).
Experience in at least one of the following areas of advanced AI: deep learning, reinforcement learning, natural language processing.
Programming proficiency and experience with relevant software tools such as R, Python or MATLAB), version control (Git/Bitbucket), and databases (SQL as well as NoSQL).
Working in a Linux environment, with experience of cluster or cloud computing (e.g. AWS or Azure).
Excellent communication and presentation skills.
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, gender or gender orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
14/03/2019
Full time
At AstraZeneca when we see an opportunity for change we seize it and make it happen, because an opportunity no matter how small can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential.
The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives. The Oncology Bioinformatics group work within cross-disciplinary drug project teams throughout the discovery and translational pipeline, specializing in NGS and multi-omic data analysis to drive new target discovery, pre-clinical and clinical research.
Excitingly the group is continuing to expand to harness diverse data science within our research, spanning probabilistic and mathematical modelling techniques, machine learning , artificial intelligence (AI), knowledge graphs. We have a fantastic opportunity for a talented and motivated individual to join the team and apply their mathematical skills to drive innovation in our portfolio, working alongside resident domain expertise and the burgeoning data science community across AZ.
Main duties and responsibilities:
Collaborate with drug project bioscience and translational scientists to understand their scientific and technical challenges and identify where data science can best impact.
Collaborate with IT and quantitative science teams to devise innovative data science solutions.
Draw actionable insight by developing and implementing ML/AI and mathematical techniques to big data spanning clinical genomics, pre-clinical assays, and published knowledge.
Build models predicting new drug targets, biomarkers, and drug combination mechanisms.
Publish and engage the AZ and external data science communities.
Proactively engage in knowledge and code sharing and peer support.
Implement and train our bench community in FAIR data practices to augment AI.
Your skills and qualifications will ideally include:
Strong quantitative background with a PhD or equivalent (e.g. Master’s degree plus 2 years’ experience) in mathematics, computational statistics, physics, data science, engineering, or similar.
Strong applied background in one or more of Linear Algebra, Probability Theory (Bayesian, Gaussian logic etc.), and Optimization techniques.
Broad experience in supervised and unsupervised machine learning methods such as random forests, SVMs, penalized regression, KNN, clustering, dimensionality reduction, ensemble methods, Bayesian methods (probabilistic programming, Gaussian processes).
Experience in at least one of the following areas of advanced AI: deep learning, reinforcement learning, natural language processing.
Programming proficiency and experience with relevant software tools such as R, Python or MATLAB), version control (Git/Bitbucket), and databases (SQL as well as NoSQL).
Working in a Linux environment, with experience of cluster or cloud computing (e.g. AWS or Azure).
Excellent communication and presentation skills.
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, gender or gender orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
Vertex Solutions are currently working with one of London's most innovative technology companies who are in full hiring mode. They are looking for an outstanding Senior / Lead Data Scientist to join the team and be a part of their exciting journey.
This opportunity is for one of London's most attractive data-driven businesses right now with a fantastic proprietary concept the firm are looking to execute. You will play an instrumental part in delivering the data science function of the business, working closely with a world class team and owning data through the full project lifecycle.
How you'll be innovating!
You'll work on bespoke projects, challenging and improving the way things in the Data world are currently done! You'll have a huge amount of data at your fingertips and will utilise this to build industry leading models and applications. Delivering a project from Research to Deployment, you'll have the chance to identify, construct, validate, and actually see your models go into production.
Ideal requirements for the opportunity
Proven experience of productionising Data Models
Strong Python Programming skills and libraries such as (Pandas, NumPy, Scikit-Learn, Matplotlib)
Experienced with SQL (plus Scala or any other language experience a bonus)
Cloud exposure preferably with AWS (GCP, Azure also works)
Big Data and Visualisation knowledge - (Spark, Kafka, PySpark etc)
Hands-on with the ability to drive a (currently small) team
Machine Learning / NLP experience (various techniques from hypothesis to deployment)
We are looking for candidates who have built, tested and deployed models within a production environment and able to write efficient code.
The business genuinely attracts and retains staff of the highest calibre by driving continuous growth and incentivising. They're based in a vibrant part of London, with a great mixture of individuals to collaborate with both internally and with external social events.
Strong salary and fantastic package on offer.
Lead Data Scientist | Python | Scikit-Learn | Pandas | NumPy | NLP | SQL | AWS | Machine Learning | AI | Programming | Big Data | Analytics
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
26/02/2019
Full time
Vertex Solutions are currently working with one of London's most innovative technology companies who are in full hiring mode. They are looking for an outstanding Senior / Lead Data Scientist to join the team and be a part of their exciting journey.
This opportunity is for one of London's most attractive data-driven businesses right now with a fantastic proprietary concept the firm are looking to execute. You will play an instrumental part in delivering the data science function of the business, working closely with a world class team and owning data through the full project lifecycle.
How you'll be innovating!
You'll work on bespoke projects, challenging and improving the way things in the Data world are currently done! You'll have a huge amount of data at your fingertips and will utilise this to build industry leading models and applications. Delivering a project from Research to Deployment, you'll have the chance to identify, construct, validate, and actually see your models go into production.
Ideal requirements for the opportunity
Proven experience of productionising Data Models
Strong Python Programming skills and libraries such as (Pandas, NumPy, Scikit-Learn, Matplotlib)
Experienced with SQL (plus Scala or any other language experience a bonus)
Cloud exposure preferably with AWS (GCP, Azure also works)
Big Data and Visualisation knowledge - (Spark, Kafka, PySpark etc)
Hands-on with the ability to drive a (currently small) team
Machine Learning / NLP experience (various techniques from hypothesis to deployment)
We are looking for candidates who have built, tested and deployed models within a production environment and able to write efficient code.
The business genuinely attracts and retains staff of the highest calibre by driving continuous growth and incentivising. They're based in a vibrant part of London, with a great mixture of individuals to collaborate with both internally and with external social events.
Strong salary and fantastic package on offer.
Lead Data Scientist | Python | Scikit-Learn | Pandas | NumPy | NLP | SQL | AWS | Machine Learning | AI | Programming | Big Data | Analytics
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
We are looking to hire exceptional scientists to join our reinforcement learning team. You will be contributing to our research work and developing algorithms that are both theoretically rigorous, yet scalable to domains approaching real-world complexity.
Your responsibilities
Develop novel reinforcement learning algorithms
Conduct theoretical analysis of proposed algorithmic solutions
Contribute to research work and publications the team is working on
Develop and run large-scale experiments to identify effective solutions
Work closely with other researchers and engineers in an Agile team
Essential skills and experience
PhD in Computer Science, Electrical Engineering, or an equivalent degree in a related field
Strong background in the fields of reinforcement learning, and/or control theory
Strong knowledge of machine learning and artificial intelligence algorithms
Publications at top machine learning and robotics conferences, including but not limited to ICML, NeurIPS, AISTATS, UAI, AAAI, ICRA, RSS, IROS, ICLR, IJCAI
Publications in high-impact machine learning and robotics journals, including but not limited to JMLR, PAMI, JAIR, IJRR
Desired qualifications, skills and experience
Experience with any of the following topics is a big plus:
Model-based reinforcement learning
Variational inference and/or probabilistic modelling
Multi-task and/or lifelong learning
Experience using MuJoCo and/or OpenAI gym environments
Experience with Tensorflow and/or Pytorch libraries
Benefits :
Flexible working hours
Private health-care and dental cover
Company stock options
Relocation costs covered
Friday team lunches
Half-day on the last Friday of the month
Weekly games nights
Gym membership
Cambridge Botanic Garden membership
The location: Cambridge, United Kingdom. Candidates must be authorised to work in the UK
26/02/2019
Full time
We are looking to hire exceptional scientists to join our reinforcement learning team. You will be contributing to our research work and developing algorithms that are both theoretically rigorous, yet scalable to domains approaching real-world complexity.
Your responsibilities
Develop novel reinforcement learning algorithms
Conduct theoretical analysis of proposed algorithmic solutions
Contribute to research work and publications the team is working on
Develop and run large-scale experiments to identify effective solutions
Work closely with other researchers and engineers in an Agile team
Essential skills and experience
PhD in Computer Science, Electrical Engineering, or an equivalent degree in a related field
Strong background in the fields of reinforcement learning, and/or control theory
Strong knowledge of machine learning and artificial intelligence algorithms
Publications at top machine learning and robotics conferences, including but not limited to ICML, NeurIPS, AISTATS, UAI, AAAI, ICRA, RSS, IROS, ICLR, IJCAI
Publications in high-impact machine learning and robotics journals, including but not limited to JMLR, PAMI, JAIR, IJRR
Desired qualifications, skills and experience
Experience with any of the following topics is a big plus:
Model-based reinforcement learning
Variational inference and/or probabilistic modelling
Multi-task and/or lifelong learning
Experience using MuJoCo and/or OpenAI gym environments
Experience with Tensorflow and/or Pytorch libraries
Benefits :
Flexible working hours
Private health-care and dental cover
Company stock options
Relocation costs covered
Friday team lunches
Half-day on the last Friday of the month
Weekly games nights
Gym membership
Cambridge Botanic Garden membership
The location: Cambridge, United Kingdom. Candidates must be authorised to work in the UK
Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries.
Springer Nature is seeking a highly motivated Data Scientist for the Content Acquisition technology domain serving the Digital division that supports Nature, Springer, BioMedCentral and Scientific American.
As a Data Scientist, you’ll be analysing big data from very highly trafficked websites and content workflows. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors, editors and reviewers and as users of scientific information as well as general trends in the world of research. You will be driving change that improves the researcher’s experience with SpringerNature and supports our purpose to advance discovery.
Role responsibilities will include:
Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Nature’s products, services and platforms
Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business
Increase the adoption of data science, standardise analytics tools across the organization, improve data management and reporting, and make data led insight accessible to the business
Being an advocate for a data-driven culture, share thought leadership on tools and best practices,
Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner
Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI
Role requirements:
University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)
Ability to extract, cleanse and combine data and make sense of it using software and tools like SQL, Big Query, Python/R, Tableau
Strong statistical and machine learning skills with some experience in NLP and the desire to learn more.
Excellent communication skills with the ability to tell compelling stories from the data
Strong ability to influence, with highly effective negotiation and presentation skills
Experience in identifying patterns and connecting different pieces of information to deliver unobvious insights drawing information from diverse and varied sources.
Demonstrable experience of using data insights and analytics to add tangible value in achieving the wider goals and strategy of the business
Excellent analytical problem solving capabilities coupled with business acumen
Well organized and accurate with good time management
Good networker, able to build up effective relations with internal business partners
To apply please upload a copy of your CV and covering letter, stating your salary expectations.
At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.
Visit the Springer Nature Editorial and Publishing website at www.springernature.com/editorial-and-publishing-jobs for more information about our Research E&P career opportunities.
12/02/2019
Full time
Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries.
Springer Nature is seeking a highly motivated Data Scientist for the Content Acquisition technology domain serving the Digital division that supports Nature, Springer, BioMedCentral and Scientific American.
As a Data Scientist, you’ll be analysing big data from very highly trafficked websites and content workflows. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors, editors and reviewers and as users of scientific information as well as general trends in the world of research. You will be driving change that improves the researcher’s experience with SpringerNature and supports our purpose to advance discovery.
Role responsibilities will include:
Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Nature’s products, services and platforms
Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business
Increase the adoption of data science, standardise analytics tools across the organization, improve data management and reporting, and make data led insight accessible to the business
Being an advocate for a data-driven culture, share thought leadership on tools and best practices,
Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner
Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI
Role requirements:
University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)
Ability to extract, cleanse and combine data and make sense of it using software and tools like SQL, Big Query, Python/R, Tableau
Strong statistical and machine learning skills with some experience in NLP and the desire to learn more.
Excellent communication skills with the ability to tell compelling stories from the data
Strong ability to influence, with highly effective negotiation and presentation skills
Experience in identifying patterns and connecting different pieces of information to deliver unobvious insights drawing information from diverse and varied sources.
Demonstrable experience of using data insights and analytics to add tangible value in achieving the wider goals and strategy of the business
Excellent analytical problem solving capabilities coupled with business acumen
Well organized and accurate with good time management
Good networker, able to build up effective relations with internal business partners
To apply please upload a copy of your CV and covering letter, stating your salary expectations.
At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.
Visit the Springer Nature Editorial and Publishing website at www.springernature.com/editorial-and-publishing-jobs for more information about our Research E&P career opportunities.
We are looking to hire exceptional scientists to join our reinforcement learning team. You will be contributing to our research work and developing algorithms that are both theoretically rigorous, yet scalable to domains approaching real-world complexity.
Your responsibilities
Develop novel reinforcement learning algorithms
Conduct theoretical analysis of proposed algorithmic solutions
Contribute to research work and publications the team is working on
Develop and run large-scale experiments to identify effective solutions
Work closely with other researchers and engineers in an Agile team
Essential skills and experience
PhD in Computer Science, Electrical Engineering, or an equivalent degree in a related field
Strong background in the fields of reinforcement learning, and/or control theory
Strong knowledge of machine learning and artificial intelligence algorithms
Publications at top machine learning and robotics conferences, including but not limited to ICML, NeurIPS, AISTATS, UAI, AAAI, ICRA, RSS, IROS, ICLR, IJCAI
Publications in high-impact machine learning and robotics journals, including but not limited to JMLR, PAMI, JAIR, IJRR
Desired qualifications, skills and experience
Experience with any of the following topics is a big plus:
Model-based reinforcement learning
Variational inference and/or probabilistic modelling
Multi-task and/or lifelong learning
Experience using MuJoCo and/or OpenAI gym environments
Experience with Tensorflow and/or Pytorch libraries
What we offe
Competitive package to match experience consisting of salary and employee stock options, an energetic and fun start-up environment, a team of exceptionally talented colleagues, a position to shape the future of AI.
Job type: full-time
Location : Cambridge, United Kingdom - Candidates must be authorised to work in the UK
11/02/2019
Full time
We are looking to hire exceptional scientists to join our reinforcement learning team. You will be contributing to our research work and developing algorithms that are both theoretically rigorous, yet scalable to domains approaching real-world complexity.
Your responsibilities
Develop novel reinforcement learning algorithms
Conduct theoretical analysis of proposed algorithmic solutions
Contribute to research work and publications the team is working on
Develop and run large-scale experiments to identify effective solutions
Work closely with other researchers and engineers in an Agile team
Essential skills and experience
PhD in Computer Science, Electrical Engineering, or an equivalent degree in a related field
Strong background in the fields of reinforcement learning, and/or control theory
Strong knowledge of machine learning and artificial intelligence algorithms
Publications at top machine learning and robotics conferences, including but not limited to ICML, NeurIPS, AISTATS, UAI, AAAI, ICRA, RSS, IROS, ICLR, IJCAI
Publications in high-impact machine learning and robotics journals, including but not limited to JMLR, PAMI, JAIR, IJRR
Desired qualifications, skills and experience
Experience with any of the following topics is a big plus:
Model-based reinforcement learning
Variational inference and/or probabilistic modelling
Multi-task and/or lifelong learning
Experience using MuJoCo and/or OpenAI gym environments
Experience with Tensorflow and/or Pytorch libraries
What we offe
Competitive package to match experience consisting of salary and employee stock options, an energetic and fun start-up environment, a team of exceptionally talented colleagues, a position to shape the future of AI.
Job type: full-time
Location : Cambridge, United Kingdom - Candidates must be authorised to work in the UK
Vertex Solutions are currently working with one of London's most innovative technology companies who are in full hiring mode. They are looking for an outstanding Senior / Lead Data Scientist to join the team and be a part of their exciting journey.
This opportunity is for one of London's most attractive data-driven businesses right now with a fantastic proprietary concept the firm are looking to execute. You will play an instrumental part in delivering the data science function of the business, working closely with a world class team and owning data through the full project lifecycle.
How you'll be innovating!
You'll work on bespoke projects, challenging and improving the way things in the Data world are currently done! You'll have a huge amount of data at your fingertips and will utilise this to build industry leading models and applications. Delivering a project from Research to Deployment, you'll have the chance to identify, construct, validate, and actually see your models go into production.
Ideal requirements for the opportunity
Proven experience of productionising Data Models
Strong Python Programming skills and libraries such as (Pandas, NumPy, Scikit-Learn, Matplotlib)
Experienced with SQL (plus Scala or any other language experience a bonus)
Cloud exposure preferably with AWS (GCP, Azure also works)
Big Data and Visualisation knowledge - (Spark, Kafka, PySpark etc)
Hands-on with the ability to drive a (currently small) team
Machine Learning / NLP experience (various techniques from hypothesis to deployment)
We are looking for candidates who have built, tested and deployed models within a production environment and able to write efficient code.
The business genuinely attracts and retains staff of the highest calibre by driving continuous growth and incentivising. They're based in a vibrant part of London, with a great mixture of individuals to collaborate with both internally and with external social events.
Strong salary and fantastic package on offer.
Lead Data Scientist | Python | Scikit-Learn | Pandas | NumPy | NLP | SQL | AWS | Machine Learning | AI | Programming | Big Data | Analytics
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
08/02/2019
Full time
Vertex Solutions are currently working with one of London's most innovative technology companies who are in full hiring mode. They are looking for an outstanding Senior / Lead Data Scientist to join the team and be a part of their exciting journey.
This opportunity is for one of London's most attractive data-driven businesses right now with a fantastic proprietary concept the firm are looking to execute. You will play an instrumental part in delivering the data science function of the business, working closely with a world class team and owning data through the full project lifecycle.
How you'll be innovating!
You'll work on bespoke projects, challenging and improving the way things in the Data world are currently done! You'll have a huge amount of data at your fingertips and will utilise this to build industry leading models and applications. Delivering a project from Research to Deployment, you'll have the chance to identify, construct, validate, and actually see your models go into production.
Ideal requirements for the opportunity
Proven experience of productionising Data Models
Strong Python Programming skills and libraries such as (Pandas, NumPy, Scikit-Learn, Matplotlib)
Experienced with SQL (plus Scala or any other language experience a bonus)
Cloud exposure preferably with AWS (GCP, Azure also works)
Big Data and Visualisation knowledge - (Spark, Kafka, PySpark etc)
Hands-on with the ability to drive a (currently small) team
Machine Learning / NLP experience (various techniques from hypothesis to deployment)
We are looking for candidates who have built, tested and deployed models within a production environment and able to write efficient code.
The business genuinely attracts and retains staff of the highest calibre by driving continuous growth and incentivising. They're based in a vibrant part of London, with a great mixture of individuals to collaborate with both internally and with external social events.
Strong salary and fantastic package on offer.
Lead Data Scientist | Python | Scikit-Learn | Pandas | NumPy | NLP | SQL | AWS | Machine Learning | AI | Programming | Big Data | Analytics
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
