2 jobs found in Manchester

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

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.