151 jobs found

MagicLab is looking for a Senior Data Scientist to join our team and assist us in using data science to deliver effective results. Together with us you will develop machine learning models to serve a variety of areas within the business; Product, Marketing, Billing teams and so on. With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people to find love all over the world! The ideal candidate combines strong business acumen, extensive experience in machine learning applications along with a passion for tech. KEY ACCOUNTABILITIES Deliver impactful business results through the development and delivery of cutting-edge machine learning models Leverage Big Data tools and techniques in order to build innovative solutions using appropriate modelling techniques Assist in driving improvements to our current prediction modelling infrastructure in terms of process, performance and testing Work with large, complex data sets whilst solving challenging business problems Collaborate with internal business stakeholders, data scientists and engineers in order to identify improvement opportunities from an AI perspective REQUIRED SKILLS AND KNOWLEDGE Demonstrable experience implementing machine learning models; from initial conception right through to the final productionalised model Extremely confident in terms of programming and scripting (strong Python essential) High familiarity with libraries such as scikit-learn, tensorflow, keras, pandas, numpy Strong statistical modelling background Python web development (Tornado, Flask) experience is desirable Ability to combine business intuition with the application of advanced solutions A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities A curious mind, self-starter and endlessly keen to learn and develop themselves professionally

Description Who we are: Faculty is a leader in AI software, skills and strategy. Through our custom algorithms, data-science platform and training fellowship, we bring AI to the real world. We are currently expanding Faculty’s data-science team, whose primary goal is to develop research-grade bespoke software for clients in almost all sectors of the economy. Our recent work has included detecting computer-generated fake imagery, forecasting train delays for a network operator and identifying online terrorist propaganda. We are deeply technical. Our research lab works with Harvard and UCL at the frontier of machine learning, investigating topics such as AI safety. We run Europe's most prestigious data-science fellowship for academics looking to transition into careers in machine learning. Our software platform, a world-class environment for developing and deploying algorithms, has been used to carry out hundreds of data-science projects. Our data-science team believes in learning as a way to achieve excellence. We hold technical seminars on most weeks, and our data scientists spend Friday mornings on self-directed training time. Commercial projects offer numerous opportunities to become familiar with different algorithms, as well as with new business verticals. Lastly, an internal secondment programme enables our data scientists to work alongside the software engineers from Faculty platform or the researchers from the AI lab. Your role: As a data scientist you will be in charge of designing and implementing bespoke algorithms for our clients. You will normally work as part of a project team to build, develop and deploy data pipelines and models within a commercial engagement. Your contribution will not be limited to programming. Using practical and business sense, you will help our excellent commercial team build strong relationships with our clients, shaping the direction of both current and future projects. You will have the opportunity to teach courses on the fellowship about topics that range from basic statistics to reinforcement learning. In addition, you will be able to mentor the fellows through their 6-week project. We consider these activities as an important way to strengthen your technical knowledge and boost your leadership skills. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of this product, you will often collaborate with engineers and designers from our amazing platform team. As we are a growing business, we need people who take initiative. You will receive more responsibility from day one than you would expect in comparable roles elsewhere. Data scientists at Faculty take pride in: Solving problems with the best data-science techniques and in the most scientifically robust fashion Communicating technical content at the right level both internally and to clients Fostering a collaborative work environment, sharing knowledge, and bringing the best out of everyone in the team Seeking out innovative ways to make Faculty grow, for example, by turning project work into reusable code Requirements In order to qualify for the role,   you should have: At least 3 years of experience in either a professional data-science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe A high level of mathematical competence and proficiency in statistics A solid grasp of machine learning with the ability to develop new algorithms when an innovative solution is necessary An excellent command of the standard libraries for data science (NumPy, Pandas, Scikit-Learn, Keras or equivalents in other programming languages) An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Eagerness to work alongside our clients and to learn about the commercial aspects of the job Effective verbal and written communication. You should be comfortable with presenting your work in front of clients Experience composing and following a project plan/sticking to self-imposed deadlines/proactively solving your own problems In addition to the above,   we’d love it if you had: Prior research experience (PhD or Postdoc) as evidenced by academic publications and conference talks Some knowledge of: Deep-learning frameworks such as TensorFlow and PyTorch Probabilistic programming languages such as Stan, PyMC3, Edward or Greta Database programming languages, in particular SQL Distributed-computing frameworks such as Spark and Dask Utilities for the creation of web apps such as Flask, Dash and React.js Contributions to open-source projects Prior commercial experience, particularly if this involved client-facing work or project management Benefits Work alongside exceptional and lovely people Be part of the team helping to deliver the benefits of AI across society Sharpen your technical skills on challenging projects, and through generous learning time Engage in motivating work, and gain experience on a variety of industry verticals Have ownership of your role, and enjoy the impact you create Work in an environment that is extremely supportive for anyone who’s keen to develop and improve Enjoy a competitive salary Have equity in a rapidly growing, funded start-up Have ownership of your time with unlimited holiday and support for flexible working

Job Description -   Data Science Research Scientist   at Callsign (Perm.) We are looking for a Research Scientist who will help build, grow and promote the machine learning capabilities of Callsign's AI-driven identity and authentication solutions. The role will principally involve developing and improving machine learning models which analyse behavioural, biometric, and threat-related data. The role is centred around the research skill set-the ability to devise, implement and evaluate new machine learning models is a strong requirement. Because the role involves the entire research and development cycle from idea to production-ready code we require some experience around good software development practices, including unit testing. Finally, because the role also entails writing technical documentation and whitepapers, strong writing skills are essential. Responsibilities Designing and evaluating machine learning models for analysing behavioural, biometric, and threat-related data Implementing production-ready code based on own research Raising awareness around machine learning innovations by creating whitepapers and submitting patents Skills and Qualifications Essential: Completed PhD/MSc in or involving Machine Learning, Applied Statistics, or Physics Essential: Knowledge of fundamental machine learning techniques and concepts in statistics Desirable: Experience with techniques from deep learning, signal processing, time series analysis, linear algebra, probability theory (especially Bayesian statistics), or information theory, as evidenced by own research publications Essential: Python and Numpy Desirable: Interest in cyber-security or biometrics Please note: successful candidates are subject to a background check for this role.

Job Description Love using technology to solve complex problems? Interested in harnessing the power of data and machine learning in an exciting Investment Banking environment? As a Data Scientist at MThree, you’ll have the chance to advance your skills and carve your best path through the world of work. MThree Alumni helps smart, engaged graduates and big organisations to grow. We bring the two together and plug the gaps with training and support. That makes us a career partner or a strategic talent partner, depending on your viewpoint! (We also offer senior consulting services in technology and finance.) You’ll start with 4-8 weeks of training here at MThree HQ to help you hit the ground running (we pay you a salary from day one). Then you’ll complete a 24-month placement with one of our partner organisations, where you’ll be at the heart of their tech activities (with help from MThree all the way). After that, most of our graduates progress to a permanent position with the organisation. The sky’s the limit. In your role, you will have plenty of room to make an impact. As an MThree graduate Data Scientist you will be at the heart of one of the worlds most respected Investment Banks Data Science capabilities. You’ll be using your technical skills to develop scalable tools for the business, and using Data Science and Machine Learning techniques to solve real-world problems. This role is perfect for you if... You have a 2:1 degree or higher in a STEM subject (science, technology, engineering, maths). Or you’ve delved into these areas as a side project or hobby. You can demonstrate a passion for technology. For example, using languages such as Java, C++, C# or Python… or any others. You have a specific, demonstratable interest in Data Science You’re highly numerate and analytical. You have strong skills in written and verbal communication. It’s a bonus if you already have experience working in teams in a collaborative environment. What you’ll learn at MThree Academy: A range of technical skills cover Data Modelling, Architecture, Big Data and Programming. The ins and outs of Data Science and how it all translates into the day to day at big organisations. Relevant industry knowledge. How to apply your existing skills in the commercial world. Professional skills and interview techniques. What you’ll get: In-depth interactive training in small classes with graduates like you. Our training is created and delivered by industry experts who know your field inside out. A competitive graduate salary (even while you train!), with pre-agreed pay rises every 6 months to reflect your progress. A flexible benefits package (gym membership, Health Shield, Employee Assistance Programme and Perkbox included). Ongoing training, support and social events throughout your 24-month placement. An opportunity to kickstart your career and gain valuable experience in an attractive and competitive industry. Sounds good? We’re ready when you are We have start dates throughout the year and welcome applications anytime. In the next step, you’ll need to submit your CV. It’s as simple as that!

Application Lead Data Scientist We are looking for a Lead Data Scientist to lead a technical team and help us gain useful insight out of raw data. Lead Data Scientist Responsibilities include managing the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Responsibilities Manage a team of data scientists, machine learning engineers and big data specialists Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Conceive, plan and prioritize data projects Build analytic systems and predictive models Test performance of data-driven products Visualize data and create reports Experiment with new models and techniques Align data projects with organizational goals Requirements Proven experience as a Data Scientist or similar role Solid understanding of machine learning Knowledge of data management and visualization techniques A knack for statistical analysis and predictive modeling Strong organizational and leadership skills Excellent communication skills A business mindset

Disney+ is The Walt Disney Company’s new Direct to Consumer video entertainment service targeted to families. The service will consist of long form and short form video built around five key content brands (Disney, Pixar, Marvel, Star Wars and National Geographic) with an appealing and easy to use interface accessed across multiple platforms (e.g. televisions, mobile devices, PCs). The Disney+ team is responsible for the launch and day to day operation of Disney+ across Europe and Africa, specifically focused on customer acquisition and retention, marketing, partnerships and synergy, content programming, research and analytics. The Analytics Manager (Customer) will provide the deep understanding of customer & usage behaviour needed to drive strategies on customer retention and tenure. They will blend content and product insights with customer acquisition data and through the combination of statistical rigor, data analysis, generate the fast-paced execution of actionable business recommendations. A high degree of autonomy will be granted for what will be a highly visible and operational role. It requires someone with a very inquisitive mind who can blend strong advanced analytical skills with commercial acumen needed to work across a broad range of data sets. Responsibilities: Deep-Dive Analysis:   Analyse commercial & user behavioural data to identify patterns, uncover opportunities, and create common understanding of how to maximise customer life time. Partnership:   Partner closely with regional business stakeholders to identify and unlock opportunities, and with other data teams to improve analytical capabilities around data modelling, testing, data visualization, and data architecture. Forecasting, and Opportunity Sizing:   Both to set goals and help evaluate potential opportunities, this analyst will be tasked with forecasting and opportunity sizing. This will help business stakeholders evaluate trade-offs approaches, and create targets for driving business performance. Goaling and KPIs:   Work “full-stack” to define techniques and benchmarks to measure the business benefit from business strategies. Experimentation:   Develop test plans, define success metrics, and ensure accurate results methodologically, technically, and statistically. Planning:   Establishment and on-going development of analytical roadmaps to support primary stakeholder. Business Performance Reporting, Visualization, and Regression Management:   Be the primary partner for cross-functional stakeholders to understand growth performance. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that helps business performance improve or double-down on success. Qualifications & Experiences: Experience in a leadership analytical role 6+ years’ work experience using SQL; Python/R and other statistical programming language experience preferred. People & team management experience. Have a demonstrated history of translating complex data sets into clear and actionable narratives and communicate opportunities and challenges to stakeholders. Have a background in data visualization and dashboard development. A strong understanding of statistics concepts (e.g., propensity modelling, hypothesis testing, regression analysis). Ability to think strategically, analyse and interpret market and consumer information. Strong communication skills, as well as written and verbal presentation skills. Experience in communicating data insights to large matrix organizations. Experience of working collaboratively across international organisations. Bachelor’s degree in a quantitative field including Marketing, Economics, Business, Mathematics, Statistics, Data Science, Engineering, Physics, Chemistry or Social Science. Graduate degree preferred.

------------------------------------------------------------------------------------------------------------------- "Ocado Technology, powering the future of retail through sustained disruptive technology innovation..." ------------------------------------------------------------------------------------------------------------------- Ocado Technology is the technological arm of Ocado, the largest online-only grocery retailer in the world. Ocado employs a unique business model based on automated customer fulfilment centres. It has over half a million active shoppers and ships over 200,000 orders per week, delivering within one-hour time slots selected by customers. Here at Ocado Technology we architect and build the ground-breaking, game-changing technology solutions that power Ocado and enable its success in the grocery retail market. An increasingly important part of this success is deriving value from the vast volumes of data generated by the business. Who are Data Science? We are pleased to announce the opening of our new Development Centre in London where you will be part of the Supply Chain, Demand & Forecasting department. The data science group at Ocado consists of 10 data scientists, 3 insight analysts and 2 software engineers across two teams at our head office in Hatfield. It is responsible for designing cutting-edge machine learning and optimisation techniques to convert data into important business insights and efficient operations. We work on machine learning and optimisation problems across Ocado's business - from recommending products to customers on our website to demand forecasting and route optimisation. Our data is stored in Google BigQuery, we work primarily in Python with some Java/Scala and use frameworks such as Spark and TensorFlow. We are looking for a Data Scientist to join the group. And we are interested in both experienced data scientists and those at the beginning of their career. What will you do? As a Data Scientist, you will work closely with the team lead and senior management to scope, plan and manage projects, support the hand-off of prototype systems and algorithms to operational Technology teams, and effectively communicate complex technical issues and findings to a range of technical and non-technical internal audiences. You will work on projects in all the areas touched by data science, dealing with real problems and having a real impact on the operational performance of the company. You will be given a high level of autonomy in how you approach these problems, and will be encouraged to research and seek out innovative solutions. Communication is key; you will be in constant contact with business stakeholders and will need to work with developers both within the team and in other technology teams to ensure that your solutions are properly productionised and can be supported. What we would like you to know: A strong academic record including a postgraduate degree in mathematics, statistics, or the sciences from a top-ranked university. Demonstrated computer programming ability including fluency in two or more of Python, Java (or equivalent), and SQL. Experience conducting analysis on large data sets and providing rigorous interpretations of the results. The ability to model complex problems mathematically and/or computationally, and appropriately apply results obtained using those models. A good understanding of key statistical concepts. Machine learning experience. We would also like to hear from you if you have: Successfully conducted research of significant scope – an M.Phil. or Ph.D. will be looked on favourably. Cluster computing data processing frameworks (e.g. Spark) Common machine learning toolkits (e.g. scikit-learn) Deep learning frameworks (e.g. TensorFlow, Theano, Torch...) What we can offer you Our employee benefits are designed for you, we care about people and we've ensured we have a wealth of benefits that focus on our your well-being. Within our flexible environment we can offer technically stretching work, a competitive salary and share schemes. Benefits include pension scheme, train season ticket loan (interest-free), free shuttle bus from Hatfield train station and of course, healthy Ocado staff discounts across Ocado.com ( http://www.ocado.com ) and Fetch. ( https://fetch.co.uk/ ) We also have regular divisional socials, sports clubs such as badminton, running and table tennis, not to mention the Ocado Technology Academy for a packed schedule of courses, conferences and events such as discussion sessions, conference briefs and external guest speakers. If you think you have what it takes to make a difference, please submit your application below. Due to the energising nature of Ocado's business, our vacancy close dates may be subject to change. Ocado is an equal opportunity employer. ------------------------------------------------------------------------------------------------------------------------------------------- Please note that due to the high volume of applications we will be in contact with shortlisted candidates only. If you have not heard from us within 4 weeks, please assume your application has been unsuccessful on this occasion. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ #LI-ZB1 -------

Disney+ is The Walt Disney Company’s new Direct to Consumer video entertainment service targeted to families. The service will consist of long form and short form video built around five key content brands (Disney, Pixar, Marvel, Star Wars and National Geographic) with an appealing and easy to use interface accessed across multiple platforms (e.g. televisions, mobile devices, PCs). The Disney+ team is responsible for the launch and day to day operation of Disney+ across Europe and Africa, specifically focused on customer acquisition and retention, marketing, partnerships and synergy, content programming, research and analytics. The Senior Data Analyst will help track and understand shifts in key performance indicators aligned to growth, customer management and audience behaviour. They will generate detailed customer understanding around acquisition behaviour, product & content; usage, adoption, value, loyalty and quantify any impact of product, proposition and service changes. This position will be able to master exploratory analysis, advanced reporting, deploy modelling and hypothesis testing via multivariate experiments, all in close collaboration with partners across the Data team and business groups. This is a permanent opportunity based in the London Hammersmith head office. Responsibilities: Liaise with internal business stakeholders to understand their objectives, challenges and opportunities. Use exploratory analysis to deeply understand customers and their behaviours across platforms. Influence internal stakeholders. Partner with functional dept leads on end-to-end process of test design, implementation and analysis. Influence internal stakeholders at all levels of the organization to take actions based on insights generated to seize business opportunities. Communicate findings and insights to stakeholders across the company in a crystal clear and crisp way that avoids any potential confusion. Improve data fluency across the business to maximise self-sufficiency levels. Qualifications & Experience: Experience in providing analytics to inform customer acquisition, retention, audience behaviour and marketing. Demonstrable work experience using SQL is required (we will assess this in the interview process). Direct experience working in web / digital / mobile/ video analytics or in web-based businesses. Experience in applying multivariate statistics, including logistic regression modelling, to business problems. Experience with defining, implementing and analysing A/B and multivariate experiments. Ability to think strategically, analyse and interpret market and consumer information. Strong communication and presentation skills – written, visual, and verbal presentations. Additional programming languages (e.g. Python/R) are preferred. Degree in an analytical field such as economics, mathematics, or computer science is desired. Advanced degree is a plus. Comfortable working in a fast-paced environment. Ability to work seamlessly with a cross-functional team of analysts, technologists, marketers and product managers.

Please note:   This position is not currently open to remote applications. Unfortunately, we're only able to employ people who already have the right to work in the location they're applying for, and won't be able to consider other applications. Snyk's mission is to help developers use open source code and stay secure. Our service enables developers and enterprise security teams to continuously find and fix vulnerable dependencies without slowing down, seamlessly integrating into Dev & DevOps workflows. The use of open source is booming, but security is a key concern ( https://snyk.io/stateofossecurity/ ) - and we are committed to making it more secure. We have more than 300,000 developers using Snyk globally with great enterprise customers on board (including Google, Netflix and New Relic ). We also recently raised $102M ( https://techcrunch.com/2018/09/25/snyk-raises-22m-on-a-100m-valuation-to-detect-security-vulnerabilities-in-open-source-code ) from top VC firms (including Accel and Google Ventures) - we're experiencing rapid growth and we want you to join us! Your role: You will be working on Snyk's data team which provides data-driven solutions to multiple stakeholders including our engineering, security, and product management teams. Now we are looking for an experienced Data Scientist to join us! You will get access to the richest data sets in the world about code and vulnerabilities, use cutting edge technology, and have the ability to see your insights turned into real products on a regular basis. You will research, guide and implement our statistical methodology, and invent measures to understand the data and build systems that extract insights from it. Your work will impact hundreds of top clients and the millions of people the security of their products affects. You will spend your time: Applying your expertise in quantitative analysis, data mining, and statistics to see beyond the numbers and understand how to effectively direct products to better serve clients Developing and implementing our statistical methodology and building models for vulnerability detection, quality estimation, pattern matching, prediction and inference across multiple metrics and dimensions Partnering with product teams to develop methodologies, tools and systems that will increase their success Informing, influencing, supporting, and executing research projects used throughout Snyk to drive product decisions Inventing and building software systems that utilize state-of-the-art algorithms from AI and ML to solve the hardest problems facing our products You should apply if: You have a passion for research in algorithms, modeling, machine learning, exploratory data analysis, and quantitative analysis of code, software dependency networks and similar technical domains You have a strong background in computer science, math, statistics, or a related technical field You have experience working with statistical modeling, and experience building software You are focused on learning and getting results You have demonstrated success in using your analytical skills to drive the understanding of a product and an entire market You have a BSc. in a quantitative topic such as Math, Statistics, Computer Science, Operations Research, Computational Social Science or another technical field. You're interested in OS and security You're a team player and you have the ability to interact with multiple peers in the company Technical background: You are experienced in Python or R You are experienced in SQL You have 2+ years working experience in training and evaluating machine learning models for regression, classification and clustering problems. Nice to have: Experience in Natural Language Processing Experience in deep-learning for text mining / source-code analysis Experience in Abstract Syntax Tree parsing Experience in cloud databases and technologies (Google BigQuery) Interested? Please apply below! We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. Our team numbers is currently ~180 amazing people in our offices in Tel Aviv, London and Boston.

We are looking for our first Data Scientist to join our small, but growing team in London. At Optiver you will leverage statistical analysis and data mining to assist in developing new trading strategies as well as refine existing ones. You will be responsible for quantitative analysis, research, and tool development. As members of the Trading Team, Data Scientists collaborate with Traders to creatively solve complex problems. What you'll do: Quantitatively analyze trade and market data Use a multitude of mathematical techniques to identify patterns in financial markets Collaborate with Senior Traders and Data Scientists to develop strategies based on identified patterns Rigorously back-test prototyped trading strategies What you'll need: Bachelor's degree in Computer Science, Statistics or STEM related field Proficiency with a programming language, preferably Python Solid understanding of statistics Experience with large data sets The ability to think independently and work collaboratively with Traders and Developers Who we are: Optiver's story began over 30 years ago, when we started business as a single trader on the floor of Amsterdam's options exchange. Today, we are at the forefront of trading and technology as a leading global electronic market maker, focused on pricing, execution and risk management. With over 1,000 employees globally and a growing office in London, our mission to improve the market unites us. When applying for a role with Optiver FX Limited, the recruitment process is run via our Optiver US recruitment team and the personal data you will submit as part of the recruitment process will be processed in the US. More information on how Optiver processes your personal data can be found in our Privacy Policy ( https://lead5194.s3.amazonaws.com/content/uploads/files/document/Privacy-statement-11-2018.pdf?mtime=20181126171936 ).

Job Description Data Scientist wanted to join a fast-growing e-commerce business and one of the UK’s most valuable startups, harnessing the value of the data generated by operations is critical to the future success. The UK data science team are at the forefront of this effort. The Marketing Optimisation group is directed at building systems that enhance the performance marketing activity of the company by using machine learning and advanced statistical methods. This means understanding the customer, and the marketplace to drive new and repeating custom. Critically, they build systems that do this autonomously. As a senior data scientist you’ll be responsible for owning the key projects, working with stakeholders across the business, mentoring more junior members of the team and developing the technology we depend on. Moreover you’ll be an active participant across the whole of the UK data science team, providing your knowledge and expertise in support of all of the companies initiatives. Qualifications You have an MSc or PhD in Statistics, Mathematics, Machine Learning or other quantitative scientific discipline. You don’t just apply out-of-the-box models, you know how they work, when they work and why they work. You experienced in an advanced Analytics or Data Science role, with exposure to digital marketing and adtech. You’re able to provide detailed examples of how you’ve delivered commercial value through your work. You have experience in software development. You’ll be able to contribute to code reviews, help to improve the release process, use TDD and version control is familiar to you. You have a willingness to take on the responsibility of a senior team member by supporting junior colleagues and the wider team, taking complete ownership of project delivery and working with stakeholders. You have an entrepreneurial mindset. Figuring out how to improve business processes and find opportunities to apply data science techniques to real problems is as exciting to you as solving them. You have a keen desire to research, develop and implement world-leading solutions to problems. We want you to go beyond the easy, obvious answers to find the best one possible and then figure out how to make it a reality! You have outstanding communication skills. You’ll be comfortable taking complex ideas and communicating them to different audiences. Additional Information null

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please apply... Job Details Navigating the world of complex consumer behaviour Senior Data Scientist, West London. We have an exciting vacancy for a Senior Data Scientist. The successful candidate will be working on our revolutionary new data capture platform Worldpanel Plus, harnessing the power of our smartphone app, Shoppix. The successful candidate will help to shape the capabilities and processes of this relatively new team, ensuring that you and your colleagues work in a pragmatic and effective way. Excellent coding and analytical skills are essential, but we would also like a creative and imaginative individual, who is able to approach problems in new ways and offer innovative solutions. This is a great job for someone who wants to be able to express their creative side, to develop new capabilities and to apply their work on projects with major client companies. Kantar Worldpanel is the global expert in shoppers’ behaviour. Through continuous monitoring, advanced analytics and tailored solutions, Kantar Worldpanel inspires successful decisions by brand owners, retailers, market analysts and government organisations globally. With over 60 years’ experience, a team of 3,500, and services covering 60 countries directly or through partners, Kantar Worldpanel turns purchase behaviour into competitive advantage in markets as diverse as FMCG, impulse products, fashion, baby, telecommunications and entertainment, among many others. KEY OUTCOMES Help us to develop our technical processes underlying our exciting new data collection product/service. For example, ensuring we use the data efficiently, refining our coding processes, being creative to solve problems Work on client projects, using your analytical skills and our data to answer client briefs. Help us to build new commercial products, by thinking of new analytical techniques, for example new segmentations for our commercial team to sell. Mentor and coach our talented junior Data Scientists. CAPABILITIES A relevant qualification, such as a BSc, MA or PhD in a numerate subject, or the equivalent professional experience. Experience working as an analyst or data scientist in a commercial or academic capacity. The ability to code in base SAS is essential. It would be beneficial if you know R or Python, SQL or VBA also. The ability to communicate technical concepts to non-technical stakeholders. JOIN US At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. Brand Kantar Worldpanel Location London, WestgateUnited Kingdom Kantar Rewards Statement At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. Join our team and you’ll be part of the 30,000 colleagues and 9 world leading research, data and insight brands that make up Kantar. At the heart of WPP, our unique consumer insight inspires clients around the globe to create and flourish in an extraordinary world.

We have an exciting opportunity to join ComparetheMarket.com as a Data Scientist. This role will be pivotal in providing customer data analytics that helps shape our strategic roadmaps and customer propositions and help us continue to be the nation’s favourite brand. You’ll have the opportunity to work with a variety of analytical tools and techniques, using a cloud-based data platform. You’ll use advanced analytics, predictive modelling and segmentation to develop a deep understanding of customer behaviour and performance. You’ll be responsible for the end-to-end delivery of customer analytics initiatives such as; creating new customer segmentations, predicting lifetime value or developing propensity/uplift models. Collaborating with a wide range of teams, you will identify opportunities to add value, shape our approach to personalisation and influence customer strategy by providing actionable, results-orientated Insights. What will it take? Strong communicator that can adapt for audiences of varying technical abilities Ability to gather and interpret business needs and requirements Excellent analytical / problem solving skills Proficient in SQL and at least one analytical tool/ language (R, Python or equivalent) Experience applying statistical methods, predictive analytics and machine learning Experience working with high volume, high dimensional data (cleansing, manipulating, merging, analysing) About Us Founded in 1992, the BGL Group has grown significantly in size and capability. From 30 to 3,000 people, we are a leading digital distributor of insurance and household financial services. We have reached 9.5 million customers through brands including CompareTheMarket.com, LesFurets.com, Beagle Street, Budget Insurance & Dial Direct. We make a difference for our customers, colleagues and communities by working, growing and winning together. We enjoy what we do and have fun doing it! We understand the importance of achieving a healthy lifestyle balance, whether it’s working remotely or flexibly we have an environment where people are empowered to embrace flexible working in a way that works for them and for the business. Diversity and InclusionWe're a diverse community of dedicated, innovative and talented professionals. With an inclusive and open workplace, we encourage our people to create and share ideas – supporting their growth and celebrating their uniqueness.

About the Analysis and Insights department Analysis and Insights provides high quality research and analytical services to underpin the business and meet the needs of external customers, using data to help students connect to the right opportunities for them. Over the past six years, we’ve strengthened our data and analysis capability to help applicants’ decision-making, made admissions more effective for universities and schools, and enabled the UK to have the highest public understanding of the process of university admissions. Behind the scenes, we use our research capability to make important decisions on running our admissions services, and help universities, and schools achieve their objectives. We’re now investing further in data and analysis – take a look at our vacancies to see how you can get involved. About the role Key accountabilities: Work with the UCAS Technology function on the adoption of data warehousing technologies, and facilitate integration of existing data and processes to maintain existing reporting outputs. Re-implementation of UCAS analytical reporting code in the cloud, using open source languages (R / Python), including automated testing, quality assurance, and maintaining consistency with previous outputs. Work with colleagues in the directorate to develop best practice, and see that this is adopted. Act as a role model to the department and organisation, upholding Analysis and Insights’ culture and standards, and demonstrating UCAS’ values. Work to develop and maintain a close relationship between Analysis and Insights and the UCAS Technology function, to ensure our data can be used in a collaborative way across the business. Accountable for ensuring the continuity and integrity of UCAS analytical reporting, as part of a small team of data scientists. Authority to represent the Analysis and Insights business unit at internal and external meetings, where required. Authority to deputise for senior management at internal and external engagements. Package Up to £60,000 with 30 days annual leave, voluntary flexible benefits, paid volunteering days, and a contributory stakeholder pension. It’s not just about the financial benefits that UCAS offers – on-site you can also benefit from our restaurant, affordable gym membership, free parking, unlimited tea and coffee, and many other perks. You’ll enjoy an exciting, agile working environment, with a vibrant culture and flexible approach to work, all of which reflects our teamwork and innovative spirit.

Salary: Competitive Location: Cambridge Are you an analytical thinker, who can turn data into insights into an engaging story which will drive action? As a   Workforce Analytics Partner   for AstraZeneca based in   Cambridge,   you’ll have the rare opportunity to use your expertise to influence the strategy of a global biopharmaceutical FTSE 100 company. It’s a time of rapid change at AstraZeneca as we pursue market leadership in our core therapeutic areas. You can expect considerable visibility, as you partner with senior leaders to ensure that data and analytics drive workforce decisions and workforce planning. With a mix of business partnering, technical leadership and the delivery of high-quality global analytical outputs, the role also offers a firm platform for career development. Main duties and responsibilities You’ll partner with senior leaders on all aspects of workforce analytics and workforce planning, as well as working with business areas to identify and predict future people and business needs. You’ll be developing analytical models to address critical strategic challenges, continually improving our core processes and using your understanding of technical solutions to enhance analytics. Supporting and challenging the wider AstraZeneca community to enhance their analytical capability will also form part of your role. Essential requirements An analytical thinker with a strong ability to manipulate and interpret complex data An agile learner with strong problem-solving and system-thinking skills An ability to use data and analytics to drive workforce planning Technical ability to continuously improve our tools and technologies, to support our journey towards predictive analytics Comfortable working with different teams, across both HR and the business Strong business acumen, articulate, able to influence at senior levels Be able to tell a story with data, through both compelling narrative and impactful visuals Although data science skills are not essential, the ability to work with and guide data scientists to reach a business-relevant outcome is key Supporting and challenging the wider AstraZeneca community as we move towards a more data-driven culture Ability to demonstrate initiative and a strong customer orientation A prior understanding of how the people agenda, and specifically organisational design can drive business performance is desirable but not essential. 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.