Data Scientist- ML Engineer
Posted 4 days ago by Vallum
Negotiable
Undetermined
Hybrid
Sheffield, South Yorkshire, UK
Summary: The Data Scientist- ML Engineer role involves preprocessing structured and unstructured data, enhancing data collection procedures, and developing machine learning algorithms. The position requires analyzing large datasets to identify patterns and proposing solutions to business challenges. The role is hybrid, requiring two days a week onsite in either London or Sheffield, and has a duration of over six months.
Key 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 and proposing 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
Key Skills:
- Knowledge of statistical programming languages like Python and database query languages like SQL, Hive/Hadoop, Pig
- Familiarity with Scala and Java is an added advantage
- Good applied statistical skills, including knowledge of statistical tests, distributions, regression, and maximum likelihood estimators
- Knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests
- Strong math skills in Multivariable Calculus and Linear Algebra
- Proficiency in handling imperfections in data (Data Wrangling)
- Experience with Data Visualization Tools like Splunk and PowerBi
Salary (Rate): undetermined
City: Sheffield
Country: UK
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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
Priyanka Sharma
Senior Delivery Consultant
Email: (see below)