Job Title: Data Scientist- ML Engineer Location: Hybrid – London/Sheffield (2days/week Onsite) Duration: 6months+ Responsibilities: • Carrying out preprocessing of structured and unstructured data • Enhancing data collection procedures to include all relevant information for developing analytic systems • Processing, cleansing, and validating the integrity of data to be used for analysis. • Analyzing large amounts of information to find patterns and solutions. • Developing prediction systems and machine learning algorithms • Presenting results in a clear manner • Propose solutions and strategies to tackle business challenges. • Data mining or extracting usable data from valuable data sources. • Using machine learning tools to select features, create and optimize classifiers Qualifications: • Programming Skills – knowledge of statistical programming languages like python, and database query languages like SQL, Hive/Hadoop, Pig is desirable. Familiarity with Scala and java is an added advantage. • Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. • Machine Learning – good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. • Experience with Data Visualization Tools like Splunk , PowerBi that help to visually encode data Kind Regards -- Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email: psharma@vallumassociates.com