Are you passionate about using Data Science techniques to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused and data-rich world of online travel?
Our Data Science team is growing! We are looking for a Principal Data Scientist to use Machine Learning to help optimize hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging communications. This exciting opportunity would allow you to solve high-impact, complex problems using some of the latest technology and approaches.
In addition, you will mentor and provide technical support to more junior members of the team and help ensure the timely delivery of key projects.
If you are an advocate for using Data Science to understand customer point of view and are seeking a high-profile role in which you’ll be able to influence our senior leadership team’s strategic decision-making, this could be the role for you!
What you'll do:
Build, deploy and optimise machine learning models which support improved acquisition and profitability of customers. This will entail working on a broad range of projects, including:
Optimizing our bidding strategies within Acquisition channels (accounting for seasonal trends, spend constraints, auction dynamics…)
Predicting customers long-term value to optimise spend allocation, re-targeting strategies…
Predicting customers intent and preferences to tailor landing pages, online advertising, Email/Push communications…
Mentor and provide technical support to more junior members of the team
Work in close partnership with Global Marketing, Product, Data and Technology teams to identify new opportunities to leverage Data Science and ensure that key projects that are carried out in the team are delivered in a timely fashion.
Develop a deep understanding of our data infrastructure and champion infrastructure development needs which will help the whole team work more effectively.
Be a technical leader on use, adoption and implementation of machine learning.
Who you are
MSc or PhD degree in any of the following fields: machine learning or computer science, statistics, mathematics with strong machine learning component;
Hands on experience in machine learning, building datasets, selecting and engineering features, building and optimizing algorithms;
Experience in several of the following domains: Real-time bidding, Learn-to-Rank, Recommender Systems, NLP, Computer Vision, Deep Learning, Regression, Classification, Clustering
Advanced knowledge of at least one of the following programming languages: Python, Scala;
Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills required including cleaning and managing data;
Good programming practices, ability to write readable, fast code.
Intellectual curiosity and desire to learn new things, techniques and technologies
Nice to have:
Knowledge of test design, implementation and evaluation, with website A/B testing experience a plus;
Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred;
Experience with data visualisation tools and packages
Join us to disrupt and have a look at what could be your career at Expedia
Why join us:
Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.
Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.
If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.
Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
10/05/2019
Full time
Are you passionate about using Data Science techniques to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused and data-rich world of online travel?
Our Data Science team is growing! We are looking for a Principal Data Scientist to use Machine Learning to help optimize hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging communications. This exciting opportunity would allow you to solve high-impact, complex problems using some of the latest technology and approaches.
In addition, you will mentor and provide technical support to more junior members of the team and help ensure the timely delivery of key projects.
If you are an advocate for using Data Science to understand customer point of view and are seeking a high-profile role in which you’ll be able to influence our senior leadership team’s strategic decision-making, this could be the role for you!
What you'll do:
Build, deploy and optimise machine learning models which support improved acquisition and profitability of customers. This will entail working on a broad range of projects, including:
Optimizing our bidding strategies within Acquisition channels (accounting for seasonal trends, spend constraints, auction dynamics…)
Predicting customers long-term value to optimise spend allocation, re-targeting strategies…
Predicting customers intent and preferences to tailor landing pages, online advertising, Email/Push communications…
Mentor and provide technical support to more junior members of the team
Work in close partnership with Global Marketing, Product, Data and Technology teams to identify new opportunities to leverage Data Science and ensure that key projects that are carried out in the team are delivered in a timely fashion.
Develop a deep understanding of our data infrastructure and champion infrastructure development needs which will help the whole team work more effectively.
Be a technical leader on use, adoption and implementation of machine learning.
Who you are
MSc or PhD degree in any of the following fields: machine learning or computer science, statistics, mathematics with strong machine learning component;
Hands on experience in machine learning, building datasets, selecting and engineering features, building and optimizing algorithms;
Experience in several of the following domains: Real-time bidding, Learn-to-Rank, Recommender Systems, NLP, Computer Vision, Deep Learning, Regression, Classification, Clustering
Advanced knowledge of at least one of the following programming languages: Python, Scala;
Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills required including cleaning and managing data;
Good programming practices, ability to write readable, fast code.
Intellectual curiosity and desire to learn new things, techniques and technologies
Nice to have:
Knowledge of test design, implementation and evaluation, with website A/B testing experience a plus;
Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred;
Experience with data visualisation tools and packages
Join us to disrupt and have a look at what could be your career at Expedia
Why join us:
Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.
Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.
If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.
Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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, 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, 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
Fluent Mandarin and Cantonese language skills
Fluent English language skills
4+ 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)
Considerable experience using R, SQL, Databricks, Snowflake, Git, JIRA & Spotfire
Strong experience and knowledge of data processing, data modeling, 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!
24/04/2019
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, 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, 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
Fluent Mandarin and Cantonese language skills
Fluent English language skills
4+ 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)
Considerable experience using R, SQL, Databricks, Snowflake, Git, JIRA & Spotfire
Strong experience and knowledge of data processing, data modeling, 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!
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 Junior Data Scientist, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with 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
Among your responsibilities as a Junior Data Scientist, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating your work and achievements among the team
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Being a great tech person
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
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 knowledge of data processing, data modeling, algorithms, and data architecture
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!
24/04/2019
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 Junior Data Scientist, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with 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
Among your responsibilities as a Junior Data Scientist, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating your work and achievements among the team
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Being a great tech person
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
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 knowledge of data processing, data modeling, algorithms, and data architecture
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!
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. Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.
We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change. We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine. Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.
Minimum Requirements:
BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar).
Relevant work experience, including full time industry experience or post-doctoral research.
Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning.
Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning.
Programming proficiency with Python or R; version control (Git/Bitbucket).
Experience contributing to the research community through publication and conferences.
Experience working with biological or health data e.g. genomics.
About the job
In AstraZeneca Oncology our data scientists are embedded throughout our research organization. As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning. We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.
Typical research will focus on applying machine intelligence, natural language processing and deep learning for:
Feature engineering/extraction for genomics, CRISPR, and phenotypic assays.
Representation and modeling of multi-modal patient data for precision medicine.
Retrieving and harnessing prior-knowledge to augment machine intelligence.
The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community. You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field. You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries.
You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery. You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.
23/04/2019
Full time
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. Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.
We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change. We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine. Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.
Minimum Requirements:
BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar).
Relevant work experience, including full time industry experience or post-doctoral research.
Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning.
Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning.
Programming proficiency with Python or R; version control (Git/Bitbucket).
Experience contributing to the research community through publication and conferences.
Experience working with biological or health data e.g. genomics.
About the job
In AstraZeneca Oncology our data scientists are embedded throughout our research organization. As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning. We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.
Typical research will focus on applying machine intelligence, natural language processing and deep learning for:
Feature engineering/extraction for genomics, CRISPR, and phenotypic assays.
Representation and modeling of multi-modal patient data for precision medicine.
Retrieving and harnessing prior-knowledge to augment machine intelligence.
The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community. You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field. You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries.
You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery. You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.
Vertex Solutions are working with a banking client who's HQ is based in London. They are working on a key project as part of their digital part of their transformation. (Banking experience is not required but nice to have).
You'll work as part of a new squad, delivering one of the businesses most exciting confidential projects.
We're looking for capable individuals to help this transformation and see the project from the research stage to deployment.
Strong Python skills are the preference, familiar with packages such as: (Pandas, Scikit learn, NumPy, SciPy), SQL, Cloud exposure (Preferably AWS), or strong big data experience (Spark, Hive, Impala, Kafka)
This will be a long-term assignment for the right individual, minimum 6 months with a strong possibility of further extensions.
Flexible budget and quick onboarding process!
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
Data Science | AI / Machine Learning / NLP | Python | SQL |Programming| Big Data | Analytics
15/04/2019
Full time
Vertex Solutions are working with a banking client who's HQ is based in London. They are working on a key project as part of their digital part of their transformation. (Banking experience is not required but nice to have).
You'll work as part of a new squad, delivering one of the businesses most exciting confidential projects.
We're looking for capable individuals to help this transformation and see the project from the research stage to deployment.
Strong Python skills are the preference, familiar with packages such as: (Pandas, Scikit learn, NumPy, SciPy), SQL, Cloud exposure (Preferably AWS), or strong big data experience (Spark, Hive, Impala, Kafka)
This will be a long-term assignment for the right individual, minimum 6 months with a strong possibility of further extensions.
Flexible budget and quick onboarding process!
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
Data Science | AI / Machine Learning / NLP | Python | SQL |Programming| Big Data | Analytics
This organisation operates in the insurance arena with a strong focus on their charity commitments, now searching for a Lead BI Analyst to provide high quality analytical expertise to the business. You will be part of larger, dynamic team and have a set of clear objectives aiming to maximise insights from available data sources. You will be expected to learn new skills rapidly - to reach this goal you will be supported with a mix of internal and external training and development sessions as well as self-study and research.
Role & Responsibilities
Optimise and streamline all data and reporting related tasks.
Liaise with business-wide range of stakeholders to promote understanding and usage BI Platform
Develop Advanced Reporting and Analytical Solutions
Maximise the use of Machine Learning and AI algorithms
Provide support, leadership and technical expertise to team of 3 BI Analysts
Explore and implement advanced analytical methodologies
Mentor and coach others.
Experience & Skills Required
Educated to university Degree in a numerical discipline or wide-ranging work-based experience.
Demonstrate experience and broad knowledge in data analysis using advanced methods
Experience in developing BI reporting solutions in Power BI, Tableau or similar
Have advanced SQL or SAS skills alongside advanced Excel and VBA Skills.
Lead change and development of new techniques
Be passionate about new technologies
Experience of managing and prioritising multiple priorities
Possess good verbal and written communication skills, able to explain technical concepts to non-technical stakeholders.
If you fit the above job description, please contact Teresa Cheeseman or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
09/04/2019
Full time
This organisation operates in the insurance arena with a strong focus on their charity commitments, now searching for a Lead BI Analyst to provide high quality analytical expertise to the business. You will be part of larger, dynamic team and have a set of clear objectives aiming to maximise insights from available data sources. You will be expected to learn new skills rapidly - to reach this goal you will be supported with a mix of internal and external training and development sessions as well as self-study and research.
Role & Responsibilities
Optimise and streamline all data and reporting related tasks.
Liaise with business-wide range of stakeholders to promote understanding and usage BI Platform
Develop Advanced Reporting and Analytical Solutions
Maximise the use of Machine Learning and AI algorithms
Provide support, leadership and technical expertise to team of 3 BI Analysts
Explore and implement advanced analytical methodologies
Mentor and coach others.
Experience & Skills Required
Educated to university Degree in a numerical discipline or wide-ranging work-based experience.
Demonstrate experience and broad knowledge in data analysis using advanced methods
Experience in developing BI reporting solutions in Power BI, Tableau or similar
Have advanced SQL or SAS skills alongside advanced Excel and VBA Skills.
Lead change and development of new techniques
Be passionate about new technologies
Experience of managing and prioritising multiple priorities
Possess good verbal and written communication skills, able to explain technical concepts to non-technical stakeholders.
If you fit the above job description, please contact Teresa Cheeseman or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
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.
Data Scientist
Permanent contract
Springer Nature is seeking a highly motivated Data Scientist for the newly created “analytics centre of excellence” serving the Research division that includes Nature, Springer, BioMed Central and Scientific American.
As a Data Scientist, you’ll be analysing big data from very highly trafficed websites and content. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors and users of scientific information as well as general trends in the world of research. Driving change that improves their experience with Spinger Nature 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.)
Demonstrable experience in cleansing and combining data using software and tools like SQL, Big Query, Python/R,Tableau
Statistical and machine learning skills
Excellent communication skills with the ability to tell compelling stories from the data
Experience in identifying patterns and connecting different pieces of information to deliver unobvious insights, drawing information from diverse and varied sources
Excellent analytical problem solving capabilities
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.
05/04/2019
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.
Data Scientist
Permanent contract
Springer Nature is seeking a highly motivated Data Scientist for the newly created “analytics centre of excellence” serving the Research division that includes Nature, Springer, BioMed Central and Scientific American.
As a Data Scientist, you’ll be analysing big data from very highly trafficed websites and content. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors and users of scientific information as well as general trends in the world of research. Driving change that improves their experience with Spinger Nature 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.)
Demonstrable experience in cleansing and combining data using software and tools like SQL, Big Query, Python/R,Tableau
Statistical and machine learning skills
Excellent communication skills with the ability to tell compelling stories from the data
Experience in identifying patterns and connecting different pieces of information to deliver unobvious insights, drawing information from diverse and varied sources
Excellent analytical problem solving capabilities
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.
