29 jobs found

This is an exciting opportunity for an enthusiastic, curious and intelligent individual to join a fast-growing analytics consultancy. We are one of the UK’s top software businesses. Offering expertise in a wide range of data and analytics competencies - from creating complex planning solutions and automating BI reporting, to data warehousing and predictive analytics – our wide range of challenging opportunities continues to grow and we now need to add a Data Scientist to lead or Advanced Analytics team. What you will do: Scoping and recommending Advanced Analytics solutions for customers Leading and delegating work to the Advanced Analytics team Designing and implementing Predictive Modelling solutions Business Understanding – leading client workshops to capture requirements. Data Understanding – data collection, data review, data quality. Data Preparation – data selection, data transformation, data cleansing. Your experience will include: Good experience in at least some of the following software tools: IBM SPSS, ‘R’ – programming language, Python, IBM Cognos BI, other Business Intelligence tools and Predictive Analytics products. Database Understanding: e.g. Oracle, SQL Server. Knowledge of ETL and data integration would be beneficial. Ability to self-manage and work without direct supervision on customer sites. About Barrachd Barrachd became part of Capita plc in 2015, joining the business’s Digital and Software Solutions division – which makes up the UK’s second largest software firm. Barrachd means ‘more’ in Gaelic and ever since we were founded in 2007 that’s what we’ve tried to deliver; more understanding, more support, more answers. One thing we don’t deliver is more data – nobody needs more information. What’s missing is insight. Joining us, you’ll be part of a team whose job is to piece together the data that’s already there and then reveal what’s about to happen. We span industries, sectors, roles and geographies, but wherever we work, we create bespoke business analytics solutions that allow businesses and organisations to find the information that they need, exactly when they need it. Barrachd are part of Capita Plc, the UK’s leading provider of business process management and integrated professional support service solutions. Through quality solutions, tailored to our customers’ needs, we’ve helped countless organisations unlock value and maximise their potential. With access to our range of unique and diverse opportunities, offering real career advancement and progression, we can unlock your potential too. What’s in it for you? At Capita, we believe an open, transparent working environment that encourages ingenuity and collaboration – with colleagues, customers and clients – is what makes us so effective at what we do. As well as a generous basic salary, we also give you   23   day’s holiday, company matched pension scheme and access to a variety of voluntary benefit options. These include a share save scheme, life assurance, holiday buy and many more designed to suit your own personal lifestyle, such as retail, health & wellbeing and leisure discounts You’ll be joining a network of some of the most experienced, innovative and dedicated people in the country - the opportunities to learn new skills, develop in your career and grow and as we grow are almost endless. Our mission is to help you realise your potential – whatever that means to you. What we hope you will do next Help us find out more about you by completing our short application process –   click apply now . Capita operates as an equal opportunities employer and we welcome all applications regardless of gender, marital status, sexual orientation, pregnancy, race, colour, ethnic origin, nationality, religion or beliefs, disability, age, political opinions or trade union membership. | Become a Change Maker |

Data Scientist Internships The Leeds Institute for Data Analytics (LIDA) is offering a number of internships to help to drive research activity across each of LIDA’s constituent areas: health informatics, urban analytics, statistical and mathematical methods, and visualisation and immersive technologies. The LIDA internship programme provides an outstanding opportunity to develop skills that are in high demand, both nationally and globally, within a growing, state-of-the-art facility. Our offer to interns includes the chance to: Own delivery of 2 data science projects and get hands-on technical experience using real data; Establish links with project partners (internal or external) and work to provide solutions to real-world challenges; Build skills and knowledge in advanced analytics, not only through mentorship and applied research, but also through on-site training opportunities in statistical analysis, visualisation, research methods and computer programming; Work alongside leading scholars as part of the LIDA team and gain valuable work experience. You will be a recent undergraduate, Master’s or PhD student in a relevant field and will have excellent numerical skills that may have been gained in the context of quantitative social science, computing, mathematics/statistics, medical bioinformatics or population studies. To explore the post further or for any queries you may have, please contact: Kylie Norman, Programme Administrator Tel: +44 (0)113 343 0242, email: k.r.norman@leeds.ac.uk Further Information The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies. The University is a charter member of Athena SWAN and holds the Bronze award. The School of Medicine gained the Silver award in 2016.We are committed to being an inclusive medical school that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees.

The Requirements Join us as a Junior Data Scientist in London You'll be supporting the bank's evolution of its Data Science capability, selecting and developing new techniques for solving complex data related problems The team's remit is to explore new ways to use the banks data, and you'll have the opportunity to work through proofs of concept in an agile environment You'll grow your abilities alongside this team, bringing an innovative and passionate approach to data science to benefit our business What you'll do You'll join Data & Analytics in our Data & Innovation team. You'll evaluate and improve RBS business processes and products using scientific rigor and statistical methods. You'll support and collaborate with multidisciplinary teams of data engineers and analysts on a wide range of business problems including the prevention of financial crime, understanding customer interactions with the bank and the management of credit risk. Your role will also involve: Identifying and working with large, complex data sets from across the banks data estate to solve difficult, non routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification in collaboration with business stakeholders. Work with other data scientists/engineers to interact across RBS functions/franchises to make business recommendations with effective presentations of findings at multiple levels of stakeholders using experimentally verified quantitative information. Being a key member of the team of data scientists exploring and demonstrating how new techniques can be applied to data to drive value across our business Embedding new data techniques in to the business through role modeling, training and design oversight Supporting the processes of pilots and proof of concept delivery to provide opportunities and develop business cases to drive those opportunities The skills you'll need We're looking for a structured thinker with the ability to clarify and simplify complex ideas. You'll also have: Degree in a quantitative discipline or equivalent practical experience in data analysis related field. Experience with statistical software (e.g R, Python, MATLAB, pandas), database languages (e.g SQL), big data technologies (Hadoop, spark) and cloud environments. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Demonstrate self-direction/ motivation and willingness to learn new techniques. Effective written and verbal communication skills How we'll reward you In return, we offer a competitive salary and you'll also join our retirement savings plan. You can also choose from a selection of protection, healthcare or lifestyle extras from RBSelect, our fully flexible reward programme. Visit our reward and benefits page for more information on the benefit packages we offer. Inclusion At RBS, we want everyone to feel welcome, regardless of your background or needs. If you need adjustments making to your working environment, we’ll do everything we can to support you. As part of this commitment, we offer flexible working options for some of our roles - find out more . As a Financial Services organisation we comply with and support the requirements set by our Regulator, the Financial Conduct Authority (FCA), which are designed to protect our customers. This role falls under Conduct Rules of the Individual Accountability Regime (IAR) and is subject to pre-employment screening. This means if your application is successful, you’ll need to satisfy some important background checks before you can start working with us. These will include a full credit check, a criminal record check, residency and right to work checks

We seek a one-year Senior Research Associate (EPSRC Impact Acceleration Account (IAA) Fellow) to work in Lancaster Environment Centre and drive knowledge transfer to Ordnance Survey (the British National Mapping Agency). This EPSRC IAA project will build on previous research undertaken during a PhD project titled: “Deep Learning in Massive Area, Multi-scale Resolution Remotely Sensed Imagery” funded by Ordnance Survey and Lancaster University. In particular, by further generalising the methods to wider geographical areas and demonstrating how to integrate these into the Ordnance Survey image processing pipeline through knowledge transfer. You will work with the Geospatial Data Science Research Group at Lancaster and the Business Change & Innovation (BC&I) team at Ordnance Survey in a collaborative approach to develop highly accurate, robust, and transferable processes for land use mapping. This project will use aerial imagery primarily, and satellite sensor imagery where appropriate, in combination with land use information in vector form provided by Ordnance Survey. The project will train and apply a deep neural network that flexibly uses multivariate/multisource data to identify land use. In addition, the deep neural networks will integrate with an object-based image analysis (OBIA) approach to ensure sharp delineations of relevant objects (notably buildings, roads, waterways). Crucially, you will lead the development of a repository of code for use by Ordnance Survey staff to apply the object-based deep neural network approach to new unseen data. This will prioritise the requirements of the user at Ordnance Survey to ensure the use of the software well beyond the contracted period. We are looking to appoint a researcher with experience in analysing large remotely sensed images (e.g., time-series analysis, image classification), and the development and application of modern spatial data science methods, including machine learning and deep learning algorithms. a desirable candidate would have skills in software engineering to make a usable workflow for Ordnance Survey, which would use industry best practices such as version control and test-driven development. This will involve working directly with Ordnance Survey for part of the year to develop a real business case as part of the business chain, and conduct consultancies with UK government with new information on land use features and their dynamics to support decision-making. For more information on the partner organisation Ordnance Survey, please see the further particulars and the website for OS   https://www.ordnancesurvey.co.uk/ . We offer a highly inclusive and stimulating environment for career development. We are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address gender equality in higher education and research. This is a one-year post in the first instance, subject to funding. Informal enquiries can be addressed to the Dean of the Faculty of Science and Technology, Professor Peter M. Atkinson (tel. 01524 595203,   pma@lancaster.ac.uk We welcome applications from people in all diversity groups

Data Scientists at Auto Trader are a bright bunch! They take volumes of data and analyse it to provide greater insight into our customers and our business. They love thinking creatively and using data to uncover new and innovative ways to improve our products. With over 15 million monthly users carrying out over 159 million searches among over 475 000 new and used vehicles there is around 180 million data events every day! Understanding this data, and the opportunities it creates, is central to the future of our company. To do this we use a cutting-edge tech stack incorporating tools such as AWS for hosting and Databricks to lift and process the data. When not in their day job, there’s a good chance you will find our Data Scientists at a data conference or event sharing their expertise and best practice with the wider data science community. This could be externally at organisations such as the Royal Statistics Society or at an in-house event such as one of our tech talks. Follow this link to view some of our recent talks: https://vimeo.com/305928040 We’re looking for the 6th Data Scientist to join our team. Data Scientists at Auto Trader are responsible for driving some of our most important data-driven business opportunities. Team members have developed seasonal forecasting models, price optimisation algorithms, customer segmentation techniques, and recommendation engines. As a member of the Data Science team, you will have a keen interest in applying mathematical models and algorithms to explore and understand our data and the commercial opportunities it presents. You will have hands-on experience either developing novel algorithms or working with data engineering to take models from prototypes to fully productionised systems. You will have a PhD in a numerate subject and have a strong interest in mathematical modeling, statistics or machine learning. You should have good knowledge of at least one high-level programming language and a desire to work with large, real-world data sets. However, it’s not just about the technical skills, people are a big part of this role too! You’ll be working with non-technical teams and it’s key that you’re able to communicate technical findings in a clear and simple way. We work in an agile environment, where things do move quickly, so you will be comfortable working on projects where requirements could change and you will, therefore, need to adapt as needed. You will have gained some experience within a commercial environment, where you have been able to influence decision-making at both strategic and operations levels. So are you the person we’re looking for? If so we’d love to hear from you. The salary banding for this role is between £50,000- £75,000 and we are willing to appoint at a range of levels depending on experience. We offer a flexible benefits package with 25 days holiday, pension and healthcare. We believe in providing more than just salary and benefits. We’ll give you time and support, so you can develop your career. Our Data Scientists attend conferences, we host external meet-ups in our event space and offer masterclasses focusing on communication, team working and leadership. As you can see, it’s not limited to what you learn at your desk. If we sound like the kind of place for you then we would love to hear from you. Everyone is unique in their own way and we are looking for people from all walks of life to become part of our inclusive culture. We’re committed to making Auto Trader a diverse and inclusive environment for everyone. Diversity for us means respect for and appreciation of differences in: gender, age, sexual orientation, disability, race and ethnic origin, religion and faith, marital status, social, educational background and way of thinking. Our commitment is to ensure you get the chance to be the best that you can be, showcase your full potential and make the right choice for you

Contribute to the delivery of the strategic objectives of Close through the provision of business analysis. The current programme of change is designed to deliver major business transformational changes and ongoing BAU enhancements & efficiencies over a multi-year timeframe. Utilise a range of business analysis tools and techniques in order to deliver high quality business analysis artefacts within the Change function and associated projects  Key Responsibilities  The role will involve applying business knowledge to the project environment. The candidate will need to:  Provide conceptual solutions to often complicated business problems and make recommendations for preferred solutions.  Contribute to the development of the business analysis approach and deliverables, and improve the integration with other disciplines across the software delivery lifecycle.  Lead requirements gathering and elicitation using a range of analysis tools and techniques.  Have ownership of traceability of analysis through development, testing, training through to business readiness and acceptance.  Work with Senior Management and up to Executive level to facilitate the sign off / agreement of solutions and recommendations.  Strong team working skills, with an ability to travel around the national office network to complete projects onsite where required.  Strong communication and interpersonal skills including negotiation.  Excellent written and verbal communication skills – must be able to communicate fluently in English both verbally and in writing.  Regulatory Responsibilities  Ability to demonstrate and understand the regulatory framework relevant to the role, whilst practising effective risk management at all times.  Qualifications, Skills and Attributes  Experience of financial services – particularly within financial planning advice firms and the wealth management industry. Front Office experience is an advantage.  Experience across packaged and bespoke systems and infrastructure – particular understanding of Pulse and/or XPLAN, or equivalent Platform, CRM and Document Management Systems.  Experience in implementation of projects to implement or enhance Investment management solutions including discretionary, model portfolios and unitised funds; Operating and Servicing models, CRM, Financial planning tools, Wrappers including SIPP, ISA and JISA.  Experience in understanding and defining ‘as is’ and ‘to be’ states of client journeys, operating models, business processes as well as MI & Reporting. The role will require contribution to the identification and impact assessment of programme and project issues and risks.  The role will be required to provide and manage workload to elapsed time and man day estimates on for analysis work to inform the project plan.  The candidate must have the ability to influence business stakeholders at all organisational levels.  The candidate will support relationships with external suppliers, contractors and/or consultants as required in order to deliver assignments

Data Integration Engineer London, England 6 month contract (extendable) The Company A market leading technology. The Role Build the next generation of reporting/ analytical solutions. Build entire ETL processes. Use NoSQL for graph database work. Support all major teams within the business with data insights. Streamline data from numerous sources and perform data modelling. The Individual Very strong scripting knowledge of either Python, Java or Scala Strong knowledge of big data platforms e.g. Hadoop, spark or Hive. Strong SQL and NoSQL column store and schema design experience. Knowledge of Google Analytics platform or Appsflyer. ConSol Partners We are a leading consultancy in the niche IT sector. We work with companies ranging from small start-ups to multinational conglomerates on both permanent and freelance positions. ConSol Partners focus only on niche markets to give unrivalled access to our extensive network of highly skilled candidates so we can delivery only the highest quality to our clients. Founded in 2008, ConSol Partners are one of the world’s leading technology recruitment brands with headquarters in the City of London and international offices in Los Angeles & Boston. ConSol Partners provide permanent and contract recruitment solutions to FTSE & Fortune 500 companies, global brands and start-ups across the internet supply chain of Communications, Cloud and Digital

Data Scientist in Ashford, Kent – Your future position? Do you thrive in delivering maximum value from data to drive development of new research and technologies? As a Data Scientist at Givaudan’s Ashford site, you will assist and support our dynamic Health and Well-being Centre of Excellence by providing data capture and analysis, programming, experimental design and statistical techniques for research projects linked to fragrance benefits. Understanding the effect fragrances have on consumers plays a crucial role in the development of our products. You will need to be self-motivated and both precise and imaginative in your role, developing new methodologies to analyse the ways in which fragrances impact the world around them. Typically, your responsibilities in this role will include: Create and develop   - you will develop new methods and analyses to measure the effects of fragrances on consumers Analysis and support   - you will interrogate data sets and identify statistical patterns to enable technology development and facilitate optimal understanding / knowledge capture Answer business questions -   through the application of data science algorithms, generating predictive and prescriptive outputs and presenting these in a clear and actionable way You?   Are you someone who wants to grow and shape your own world? Who thrives being in a culture where you can express yourself in a creative team environment and where you can learn and expand on your knowledge and experience? Who wants to collaborate and learn together with teams who are as passionate as you are? Then come join us – and impact your world. Your professional profile includes: Extensive knowledge and experience in the application of data science methods and scientific principles Masters or Higher degree in a relevant technical field (Data Science/Analytics, Operations Research, Computer Science, Statistics etc.) Programming Skills e.g. R, Python, XLSTAT, SAS, VBA, MATLAB AI/Machine Learning experience Strong aptitude for research and development of knowledge in relevant scientific literature Knowledge of Chemometrics/Sensometrics is desirable Statistical analyses & interpretation in consumer-relevant way IP development is desirable Self-motivated and able to work under limited supervision

Competitive Salary – Based in Newbury Numbers are a part of data, data forms insight, insight influences recommendations. If you are a whizz with numbers and enjoy discovering solutions hidden in large data sets – come and join us at Saint-Gobain. As a Junior Data Scientist you will join the brand new digital team in our…yes you’ve guessed it, brand new office based in Newbury. There could not be a better time to join, as we prepare to embark on a new digital transformation project. The core of the role will involve working with stakeholders throughout the organisation to identify opportunities for leveraging company data to drive business solutions. You will also be responsible for mining and analysing data to drive optimisation and improvement of product development, marketing techniques and business strategy. In addition to this you will develop custom data models and algorithms to apply to data sets as well as use predictive modelling to increase and optimise customer experiences and revenue generation. So if you have A strong Data Mining experience Experience using / creating algorithms & creating running simulations A strong analytical and reporting ability Commercial acumen A bachelor’s degree in a scientific field (desirable not essential). Let’s speak Benefits include: A Competitive Salary + Bonus (15%) A defined contribution pension scheme. 25 days holiday Flexible working Flexible Holiday buy sell scheme (allowing up to 3 days holiday to be bought or sold). Saint-Gobain Life Assurance Scheme Cover Great staff discounts across high street and leisure activities We look forward to receiving your application – Apply today! Saint-Gobain encourage and welcome diverse applications AND ARE COMMITTED TO SUCCESS THROUGH OUR DIVERSE COLLEAGUE COMMUNITY.  We’re committed to equal employment opportunity regardless of ethnicity, colour, race, religion, national origin, sex, gender identity, sexual orientation, age, citizenship, marital status, disability, neurodiversity, taste in music, fashion sense or any other characteristic that makes you unique. If you have a disability or special need that requires support or adjustments to working or interview arrangements, please let us know. On occasion we need to close advertisements earlier than expected, we therefore strongly encourage you to make your application promptly to avoid disappointment. AGENCY?  Please note that we have our own recruitment marketing and search functions alongside an already agreed set of agency partners and will not accept any third party CV’s/Applications from anyone unless invited to do so. Saint-Gobain accepts no responsibility for any fees related to unsolicited resumes.

Job Introduction As our new Junior Data Scientist, you will be responsible for the effective delivery of data driven investment research by helping to discover information hidden in vast quantities of data. You will report directly to our Head of Data Science and will work closely with other areas of the business, particularly Data Technology and Investment. You will interface frequently with the investment floor so strong communication skills are essential for this position. This role will suit you if you are flexible and creative, enjoy solving complex problems, and like getting things done. The team has a start-up culture where you will be expected to give input from day one. Very few other roles will have this level of exposure and responsibility so early on. Role Responsibility Your key responsibilities in this role will be: Writing time-series and data science solutions in Python to solve various investment focused research questions. Exploratory data analysis, cleansing, feature-engineering and selection using a variety of traditional and machine learning techniques. Creativity in designing ways to visualise and communicate results to analysts and fund managers. Ensuring industry standard tools, techniques, and practices are being adopted and embedded into the research process. Using a combined knowledge of hacking skills, modelling, statistics, analytics and maths to solve problems. Implement models into production by collaborating with developers and data engineers. Propose solutions and strategies to technical challenges as they arise. Proactively sourcing additional external structured and unstructured data sets to enhance services and insights. The Ideal Candidate We are looking for a technology enthusiast who has a strong understanding of machine learning techniques and algorithms. It is critically important that you have knowledge and experience in developing data solutions using Python with notable experience in time-series analysis. Knowledge and experience of the Python Libraries: Pandas, NumPy, SciPy, StatsModels, scikit-learn, Seaborn, and Matplotlib is essential to be successful in this role. We would also require you have the following skills and experience: Advanced SQL knowledge and experience working with both relational and non-relational databases, query authoring as well as working familiarity with a variety of other databases and datasets. Understand the model build lifecycle, including feature selection and optimisation, model selection and validation, and ongoing model maintenance. Familiarity using cloud-based platforms (e.g. Azure, GCP, AWS) Ability to handle multiple research topics simultaneously. Exposure and understanding of alternative datasets. Experience using collaboration tools such as Confluence, Teams, Slack. Strong team player, but able to work independently as required with the ability to work under pressure, give realistic estimates, and work to deadlines. Prior work experience in a professional setting is required and you will hold a technical undergraduate degree and a master’s degree is a distinct advantage. About the Company Jupiter is one of the UK’s leading fund management companies. Jupiter provides investment services to individual and institutional investors through mutual funds (UK unit trusts, Luxembourg SICAVs), separately managed accounts and sub-advised funds. Jupiter has experienced a period of international growth with offices open in Germany, Austria, Switzerland, Singapore, Hong Kong, Sweden, Italy and Spain. Jupiter is committed to a diverse and inclusive work environment and is an equal opportunities employer. Jupiter Asset Management

MAG: Do you want to join the largest UK owned airport operator? A position is now available in our IT team based at Manchester Airport. Manchester Airport Group serves circa 48 million passengers and handles almost 500,000 tonnes of freight per year via our airports; Manchester, Stansted and East Midlands. This is your opportunity to join this exciting and ambitious business at a time of growth. Our overall vision as a group is to be the premier airport management and services company and we are striving towards this within every element of our business. The Role: The Junior Data Scientist will work on large scale data sets, and help provide recommendations and solutions to business problems, across Manchester, Stanstead and East Midlands Airports. With an audience of over 10 million customers, together with expanding operations internationally. Duties include – Work with large data sets from multiple sources to shape the underlying data required to address business problems. Manage raw data effectively: importing, cleansing, transforming and organising for onward analytical purposes. Help ensure that all data acquisition, handling, and analyses are conducted in accordance with MAG data policies. Identify and explain where additional data, or new data sources, are needed to help solve identified problems. Provide detailed data analysis for senior team members, helping the team work towards robust solutions. Develop your ability to work with stakeholders, gathering information on business problems, and working with them to identify and promote solutions. Use and develop visualisation skills to help the Data Analytics team explain and educate wider stakeholders on the solutions to business problems that have been found in the data. Work with more senior team members to expand your knowledge and understanding. Maintain an eagerness and openness to learning. Seek responsibility where opportunities arise. You: Degree or equivalent in a quantitative field (Computer Science, Mathematics, Engineering, AI etc). Strong analytical knowledge of a wide range of machine learning techniques, including such methods as Regression, Decision Trees, Random Forests, Naïve Bayes, and Support Vector Machines. Ability to take a problem and be naturally inquisitive, investigating approaches to unlocking new potential through insight. Experience working with data through R and Python and preparing reports with R Markdown or Jupyter. Commercial experience working with data through R and Python, preparing reports with R Markdown or Jupyter, and experience of architectures suitable for large data set manipulation and utilisation. Strong communication skills with positive solution approach Strong communication skills with Data Science/Business Intelligence colleagues, internal and external stakeholders Ability to plan and organise well, to ensure time is effectively used and delivery timescales are met. Working with non-technical colleagues and explaining findings in a simple way. Be self-motivated and show high levels of commitment. A love of working in an Agile development environment. Keenness to develop a technical ability to write code and implement high quality algorithms. Desirable Some experience working with data in a commercial setting. Experience of using visualisation to help get concepts across, particularly to non-technical people. Technical Data Management – Good understanding of the principles and implementation of data quality, segmentation and protection. Data Scientist - Good data extraction and transformation skills with equally strong analytical and statistical skills developing univariate and multivariate analysis. What we offer: We are offering a competitive salary of up to £30k (dependent upon experience) plus bonus and benefits package. Equal Opportunities MAG are a values led organisation and we are committed to providing equal opportunities in all areas of work and business. We want people to achieve their best, which will in turn positively impact on our customers and the communities in which we live and work. At MAG we empower people to be themselves within an inclusive and supportive environment, enabling everyone to achieve their full potential in line with their abilities and career aspirations. Reasonable Adjustments As an inclusive employer, MAG wants to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore encourage you to inform us of any reasonable adjustments you might need to enable this to happen.

Role Overview - Data Scientist The Data Scientist role will work within SEGA’s HARDlight studio with a focus on mobile games. You’ll work closely with the game teams to produce actionable insights from data and machine learning models, provide ongoing analyses to assist live-ops and game leads, and ensure that the direction of ongoing development is backed up by metrics and behavioural data. You’ll be encouraged to take the initiative with analyses or Data Science products, to collaborate with other Data Scientists within SEGA of Europe’s studios, and to challenge assumptions and test hypotheses to help create the best experience for our players. Responsibilities Actively own your relationships with the analytics team, game teams, and management, to frame better questions and track the right metrics Build, improve, interpret, and deploy predictive models to production using data from live games to identify players likely to spend, churn, or exhibit other behaviours of interest Design tests to be run on live games to provide data that can help validate and improve your models, and work with the live-ops and development teams to implement them Identify anomalies and trends in performance data that could warrant further analysis, and feed back to the game teams and the studio management as necessary Knowledge, Skills & Experience Essential Strong analytical and problem-solving skills Good knowledge of SQL, and proficient with either R or Python Experience with metrics-driven decision making and A/B testing Solid understanding and practical experience of using machine learning algorithms for interpretive and predictive modelling Excellent data reporting, visualisation and presentation skills (Tableau, Power Point, etc.) Passionate about videogames, and mobile games in particular A self-motivated individual with good organisational skills Able to work well in a fast-moving, creative development environment with members of all disciplines and manage multiple priorities simultaneously Desirable An understanding of cloud platforms, such as AWS A clear understanding and experience of troubleshooting different types of data pipeline Free to Play / Paymium game design experience Why work at HARDlight? You'll have access to a comprehensive benefits package that includes life assurance, income protection, private healthcare & dental insurance schemes and an enhanced contributory pension scheme We offer competitive salaries and a fantastic bonus scheme so that you can stay motivated and focused on making HARDlight the best it can be For gaming buffs, we offer free SEGA games on Steam and a home technology scheme, or if you’re more of a foodie, you can take advantage of fresh fruit, cereal & toast every day Fitness fanatics will love our discounted gym membership and ride to work scheme. You can find your zen with weekly yoga classes as well as in-house massage therapy We pride ourselves on having flexible working hours to ensure that you have a life outside of the office The opportunity to be a large part of a small team, developing innovative titles with a huge SEGA back catalogue Based in the ‘Heart of England' in stunning historic Royal Leamington Spa, with great connections to London & Birmingham We want people of all backgrounds to see themselves represented and included in our work, so we actively seek to diversify our team and bring more voices to the table. All applicants are welcome!

Network Management is responsible for the performance and management of the road network and has statutory duties as the Highway Authority and Traffic Manager to ensure the effective operation of our on-street assets, the coordination of road works and an effective multi-modal response to incidents and events. We are now seeking a  Data Scientist  to join our team of dedicated professionals, shaping the Surface Intelligent Transport Systems (SITS), which will provide TfL with 21st Century technology to manage London’s roads. You will monitor performance management activities across Transport for London (TfL) Surface Transport, analysing results and comparing performance to objectives. You will undertake research and analysis programmes, in line with policy objectives. You will also develop new tools and methods to improve performance indicator reporting and cause effect analyses. Your timely and accurate reports will enable decision making on network interventions. You will be collaborating across our business so will have the opportunity to build and maintain a network of internal and external relationships with a wide range of stakeholders and customers. Key Accountabilities Create new tools and algorithms based on sophisticated analyses of London roads operational data and prepare reports for publication to provide timely insight into emerging multi modal trends in the utilisation of London’s road space, for a variety of audiences, including Directors and other key stakeholders Integrate datasets and perform analyses spanning two or more of these existing data sets to generate new insights into our data. Using a data analytics approach, develop a set of data analysis methods and algorithms which can be implemented by Outcomes Analysis and subsequently offered to key managers within TfL and external partner organisations on a managed-service basis Maintain systems to ensure that relevant performance of the Surface Transport network is monitored through the appropriate mechanisms Undertake research and analysis programmes to help develop TfL policy objectives and provide support for operational decisions for London’s roads Create and contribute to proposals for research and analysis programmes, to keep up to date with relevant research and analysis, and maintain TfL at the forefront in the fields of performance monitoring, research and analysis Undertake economic evaluation including cost benefit analysis of schemes and projects for preparation of business cases and for benefits realisation Manage consultants, including evaluation of tenders, and collaborate with academic institutions carrying out projects to the value of up to £250K annually, including large-scale surveys and research and analysis projects To promote Operational Analysis and develop and maintain a network of internal and external stakeholders, including contractors and data suppliers Present clear and accurate outputs of analysis to both technical and non-technical audiences, including TfL senior management, providing insightful interpretation by leveraging explanatory commentary, and visual aids to answer the business question Support the development of advanced analytical skills within the team through coaching and collaborative working Undertake any other duties or projects as part of the Operational Analysis team, and in line with the purpose of the job Skills, Knowledge & Experience Skills Advanced analytical skills including statistics, mathematics, predictive modelling, quantitative analytics, and machine learning (Essential) Very good problem solving skills (Essential) Advanced ability to analyse and interpret technical data consisting of millions of rows and draw conclusions using new analytical approaches to business questions (Essential) Ability to demonstrate innovative thinking (Essential) Very good written communication and presentation skills that can be understood by technical and non-technical people (Essential) Well-developed influencing, negotiating, networking, collaboration and cross functional working skills (Desirable) Ability to manage projects to budget and within time scale (Desirable) Knowledge Proven knowledge of data analytical methodologies (Essential): Data mining techniques for very large data sets Predictive data modelling and statistical analysis Quantitative and qualitative analysis tools Simulation tools and machine learning How to use data to answer business questions that drive insight How to scope solutions that support data science exploration Degree qualified or significant appropriate demonstrable experience (Essential) Excellent working knowledge of spreadsheet, database, GIS techniques and statistical analysis tools such as STATA, SPSS or R (Essential) A thorough understanding of transport related issues, including transport policy issues in London (Desirable) Strong working knowledge of transport related research techniques (Desirable) Experience Strong experience in working with very large datasets to provide complex quantitative analyses (Essential) Experience of representing / promoting the organisation externally (Essential) Strong experience of gathering, collating, analysing and publishing data in multi-media formats, for both technical and non-technical audiences (Essential) Experience of preparation and presentation of reports relating to transport monitoring, research and analysis (Essential) Experience of successfully managing projects (Essential) Equality and Diversity We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, ethnicity, gend er, sexual orientation, age or disability status. Application Process Please apply using your CV and a two page covering letter. Think carefully about the skills, knowledge and experience in the advert and cover this in your CV and cover letter. The closing date for applications is 09 June 2019 @ 23:59 Benefits In return for your commitment and expertise, you will enjoy excellent benefits and scope to grow. Rewards vary according to the business area but mostly include: Final salary pension scheme Free travel for you on the TfL network A 75% discount on National Rail Season Ticket and interest free loan 30 days annual leave plus public and bank holidays Private healthcare discounted scheme (optional) Tax-efficient cycle-to-work programme Retail, health, leisure and travel offers Discounted Eurostar travel

Graduate Data Scientist Job Overview Crowder Consulting are a professional business of consulting engineers, software developers and data analysts. As an SME we are positioned in a niche area of the water industry being able to offer our leading Water Network Management System, Netbase, to water operators in the UK and internationally, along with our engineering consultancy and data analysis services. Our services focus on the planning, monitoring, analysis, performance, modelling and operational aspects of water and sewer networks. We’re based in Central Birkenhead (Merseyside), easily accessible with great transport links. We’re looking for graduates to progress from Data Scientists, where a solid technical basis will be established, through to future leaders and managers within our organisation. To start this journey, as a Graduate Data Scientist, you’ll join our specialist team working on a wide range of analytical and digital services projects for major water utilities across the UK and overseas. You’ll be responsible for streaming and processing data to aid detailed analysis and reporting, and you’ll provide a statistical analysis of representative samples of data to produce cohorts of results for extrapolation. You’ll be involved in assessing the impacts of data improvements on regulatory reporting which will inform key business stakeholders and drive data improvement activities. You’ll also produce project reports and contribute to presentations for clients. As a Graduate Data Scientist, you’ll receive a salary of £20,000 to £25,000, level dependent on experience and qualifications, along with additional benefits including; employer contributory pension scheme, annual leave entitlement that increases with length of service, and the option for flexible working days. You’ll be employed on a permanent contract ,  working full time Monday to Friday, 7.5 hours a day with flexible start times available between 8am and 10am, and finish times between 4:30pm and 6:30pm. To be considered for this role, you will need: A mathematics or related discipline degree Detailed knowledge of statistical analysis and mathematical modelling A highly analytical mindset In addition, you’ll also need superb communication and organisational skills ,  an eagerness to learn and be highly driven with a proactiveapproach to work. Although not essential, you will ideally have experience and the desire to develop skills in programming using open source software and NoSQL databases such as R, Python and Mongo. Who we are? Established in 1985, the growing team of over 110 employees are at the heart of what Crowder does, which is why the business is proud to have been Investors in People accredited since 2004, a testament to the company’s commitment to developing all personnel. Crowder benefits from a longstanding dedicated workforce, and continued growth plans provide superb career opportunities within the business, making this a great time to join as a Graduate Data Scientist. All applications for this Graduate Data Scientist vacancy are to be submitted via email, and strictly no agency calls or agency CV submissions . Ref:  04/2019

An award winning startup is revolutionising the events industry one step at a time and they want you to be part of the journey. This will be their first dedicated data role and so it is an amazing opportunity to design and implement YOUR data science vision from day one. You can expect to: Take ownership of a wide array of data tasks and remits, including: data science, data infrastructure, data engineering, and data analytics. Work closely with the rest of the business and use machine learning to automate both internal and external processes. Educate and advise the business on data best practices and establish a framework to build for the future. Define the structure of your own complete data science team and hire the right people to help you. You should be: Passionate about using data to drive the business and can form the foundation of data science knowledge and best practice going forward. A problem solver who uses their analytical skillset to find innovative solutions to business problems. Excellent in both Python and SQL, and constantly striving to keep up with new and relevant data science trends and tools. Benefits: Highly competitive salary True autonomy and freedom in your role All of the best available technology to succeed in your role Fantastic office environment: relaxed, creative, fun, social Many other perks, including regular free meals and coffee etc. Please note you will receive an automated response advising you that we have received your CV. Morgan Philips Group and is a leading provider of recruitment, contract professionals and talent management solutions worldwide. We are committed to ensuring that all job applicants are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, 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!

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!