Data Engineer - once weekly commutes to Durham

Job Description

Are you a brilliant problem solver who loves diving into data analysis, statistical modelling, and machine learning Were on the lookout for an exceptional Data Engineer to join our dynamic data team.As a global leader in the chemical and hazardous goods industry, were committed to harnessing data-driven solutions to propel our business performance and foster innovation.Our data team drive substantial growth in our organisation by leveraging your expertise in data analysis, statistical modelling, and machine learning. As a Data Engineer, youll collaborate with diverse teams and spearhead innovation in the chemical andhazardous goods industry. Dont miss out on this exciting opportunity! Apply now and embark on our exhilarating journey toward data-driven excellence.Key Responsibilities:* Unveil captivating patterns, trends, and correlations within vast, intricate datasets through comprehensive data analysis.* Apply statistical techniques to cleanse, preprocess, and transform raw data into a format suitable for analysis.* Develop and implement cutting-edge machine learning algorithms and statistical models to conquer complex business challenges.* Construct predictive models to forecast key metrics, identify anomalies, and optimize decision-making processes.* Evaluate and refine models to ensure exceptional accuracy, efficiency, and scalability.* Craft visually stunning and intuitive dashboards, reports, and presentations to convey insights and findings effectively to stakeholders.* Present complex analytical concepts with clarity and brevity to both technical and non-technical audiences.* Work closely with data engineers, business analysts, and product managers to identify data requirements and align project objectives.* Offer guidance and mentorship to junior team members, sharing expertise and best practices in data analysis, modelling, and machine learning.* Stay at the forefront of advancements in data science, machine learning, and artificial intelligence, driving innovation within our team and organization.Qualifications and Requirements:* Proven experience as a Data Engineer, Scientist or similar role, with a remarkable track record of successfully applying data science techniques to real-world problems.* Proficiency in programming languages like Python, R, or Scala, along with hands-on experience with data manipulation and analysis libraries (e.g., pandas, NumPy).* Solid grasp of statistical modelling techniques, machine learning algorithms, and data visualization tools (e.g., TensorFlow, sci-kit-learn, Tableau).* Exceptional problem-solving skills and the ability to translate business requirements into analytical solutions.* Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a definite advantage.* Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of database systems (SQL, NoSQL) is desirable.On offer is a fantastic benefits package and working culture, including:* Pension contributions and annually paid bonus* Subsidised healthcare plan* 25 days annual leave plus bank holidays* Flexi time - core hours of 10-4, make up the rest when you like* Paired project environment - youll have the opportunity to team up with another like-minded professional on projects, as part of this innovative approach to workingTo apply, action your interest by submitting your CV today.