Data Scientist - Advanced Analytics
Role Name: Data Scientist We are transforming our client’s operations with automation, analytics and insight provided through Data Science - as a Data Scientist you will join our Advanced Analytics and Data Science Center of Excellence team at Kagool. You will be working on fast paced dynamic projects as part of a large & motivated Data Team. During periods of intense delivery you may be required to support the project & team by working extended hours. This is a fast track programme where your opportunities to succeed are directly linked to the effort you put in. We have an excellent record in attracting, developing & promoting individuals allowing them to achieve their full potential.... Role Summary You will be responsible for the full lifecycle of data science projects, from analytic question definition, through data gathering, modeling, reporting/visualization development, testing, and operational deployment and support iterations in close collaboration with the data science team and broader IT organization. This includes working with business stakeholders to gather objectives and outline project scope, translate into technical designs, finding the right data, and then develop the end user friendly reporting and analytics platform of standard reports and self-service analytics interfaces with agile approach. This role requires a detail oriented, creative data scientist, comfortable working in a collaborative environment and ability to strive in the face of ambiguity and ever-changing priorities. Responsibilities Collaborate on data collection efforts (external API’s, public data sources, etc.) and assist with the data and analytics infrastructure design and maintenance (MS Azure based solutions). Conduct extensive descriptive analytics on the newly collected data, including visualization development (Power BI, Tableau...). Connect the dots and use the data to solve real business problems using the right machine learning or statistical modeling techniques. Maintain and development of existing models into production (error handling, testing, etc.) Share your knowledge with the team, and learn more along the way. Location: Coventry UK Salary Range: £35,000 to £50,000 Application closing date – 30-Oct-18 Skills and Qualifications Degree in a quantitative discipline 3+ relevant professional analytics/data science experience in industry (all verticals welcomed) Deep understanding and practical experience with a wide range of Machine Learning and Statistical Modeling algorithms/techniques. Practical experience delivering exploratory and long term insights leveraging data visualization tools outside of statistical packages. I.E. Tableau, Power BI, D3.js Expertise in writing clean efficient, and reproducible R and/or Python code for data cleansing and modeling Ability and passion to learn any new tool/language/algorithm on the fly (this is what you do for fun anyways). Ability to convey complex solutions\models and the value of the information to all levels of the organization Deep understanding of RDMS and SQL, and meaningful exposure to cloud solutions. Experience with Microsoft Azure cloud solutions preferred. Experience with writing production code and model management concepts preferred. Preferred Skills Exposure to SAP Excellent team working skills and also able to work individually Good prioritisation skills Other Requirements Driving license mandatory Accept travel across the different Midlands sites Kagool is ranked in the Top 10 Data Management Solution Providers 2018 by CIO Insider.