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Azure Data Scientist / MLOps Engineer at Simplify. Location Information: Home Based, United Kingdom. . AZURE DATA SCIENTIST / MLOPS ENGINEER. . £50,000.00-55,000.00. . HOME BASED WITH OCCASIONAL TRAVEL. . Are you highly analytical, commercially minded, and passionate about transforming data into actionable insights? Want to play a pivotal role in shaping AI-driven solutions that improve business performance? If you thrive in a fast-paced environment and are excited by strategic use cases such as customer classification, predictive modelling, and operational efficiency, then why not join our growing AI Team here at Simplify as an Azure Data Scientist / . MLOps. Engineer!. . BENEFITS. . Competitive Salary of £50,000.00-55,000.00, Remote Working Options, 25 Days Holiday (Plus 8 Days Public Holiday), Option To Buy Or Sell Holiday, Company Pension, Life Assurance, Enhanced Maternity, Paternity & Adoption Pay, Free Conveyancing Legals, GP 24-hour service, Retail Discounts Plus Many More!. . WHAT YOU’LL BE DOING. . The Azure Data Scientist / MLOps Engineer / Machine Learning Engineer (known internally as Data Scientist) will be joining us as a key member of our highly regarded AI Team, playing a vital role in developing and deploying data science solutions that deliver measurable business value.. . Core responsibilities include:. . . Designing, developing, and implementing statistical models and machine learning algorithms. . Translating complex data into actionable insights for business stakeholders. . Collaborating across teams to identify data-driven solutions. . Communicating findings to both technical and non-technical audiences. . Supporting data preparation and integration for strategic modelling. . Contributing to MLOps . pipelines. and lifecycle model management. . Building scalable pipelines and workflows using tools like Databricks and Azure Synapse. . Conducting A/B testing, model validation, and performance monitoring. . Supporting both predictive and rule-based systems. . Performing root cause and time series analysis to improve processes. . Maintaining data quality, governance, and compliance standards. . . OUR HIRING PROCESS:. . . You’ve checked out our job ad. . It’s gathered your interest and you’ve applied using our easy application process. . If selected, you come meet our lovely team and we discuss the finer details. . In some cases, we might invite you for a second interview. . If successful, we make the offer and get the ball rolling. . Once in post you can recommend your friends come on over and earn a sweet referral bonus – for each one!. . . REQUIREMENTS. . And now for the nitty gritty:. . We’re looking for someone with demonstrated experience in applying data science techniques to real-world problems, along with proficiency in Python, SQL, and . PySpark. . You should be confident working with tools such as Databricks, SQL Server, and Azure AI/ML Services, and have a solid grasp of machine learning, statistical analysis, and predictive modelling.. . You’ll need to be a critical thinker with excellent communication skills and a flair for translating complex data into clear business value. Familiarity with data governance, MLOps, and visualisation tools like Power BI is key.. . OUR PEOPLE. . Simplify believes diversity brings benefits for our clients, our business and our people. This is why we are committed to being an inclusive employer and encourage applications from all suitable applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation.. . ABOUT US. . Simplify is the UK’s leading conveyancing and property services business, comprising nine businesses which include some of the largest conveyancing law firms in the UK, two leading independent property services businesses as well as being the market-leading direct to consumer online conveyancer.. .