Data Scientist ML Engineer

Data Scientist ML Engineer

Posted 1 day ago by Experis UK

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Negotiable
Undetermined
Hybrid
Birmingham, England, United Kingdom
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Advanced Mathematics Algebra Algorithms Apache Pig Calculus Database Queries Data Collection Data Preprocessing Data Visualisation Generic Programming Java (Programming Language) K-Nearest Neighbors Algorithm Linear Algebra Machine Learning Machine Learning Algorithms Maximum Likelihood Multivariable Calculus Naive Bayes Power BI Probability And Statistics Python (Programming Language) Query Languages Scala (Programming Language) Software Development Splunk SQL (Programming Language) Statistical Programming Statistics

Summary: The Data Scientist ML Engineer role involves working on a contract basis until November 28, 2025, with a hybrid working arrangement in Birmingham or Sheffield. The position focuses on data preprocessing, analysis, and the development of machine learning algorithms to address business challenges. Candidates are expected to possess strong programming and statistical skills, along with experience in data visualization tools.

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
  • 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:

  • 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
  • Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
  • 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)
  • Proficiency in handling imperfections in data
  • Experience with Data Visualization Tools like Splunk, PowerBi

Salary (Rate): undetermined

City: Birmingham

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role Title: Data Scientist ML Engineer

Duration: contract to run until 28/11/2025

Location: Birmingham/Sheffield, Hybrid 2-3 days onsite

Rate: TBC

Key Skills/ Requirements

  • 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

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

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