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Data Scientist

eTeam Workforce Limited · Glasgow (Hybrid-2/3 days per week), UK · Hybrid · Senior

  • Glasgow (Hybrid-2/3 days per week), UK · Hybrid
  • 31/05/2027

Indexiert (vor 4 Tagen) · laufend aktualisiert

Budget
39 £ / h
Start
ASAP
Laufzeit
31/05/2027
Arbeitsmodell
Hybrid
Vertrag
Freelance / B2B
Erfahrungslevel
Senior
Referenz
JSDATA SCIENTIST

Jobbeschreibung

Project overview

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Role Title: Data Scientist

Project details

Glasgow (Hybrid-2/3 days per week)

31/05/2027

£313 per day all inc. (PAYE through FCSA umbrella)

Role Description:

Role Overview

We are seeking a highly analytical and innovative.Data Scientist to transform complex data into actionable business insights. The ideal candidate will leverage advanced analytics, statistical modeling, machine learning, and data visualization techniques to solve business problems, improve decision-making, and drive data-driven strategies across the organization.

Key Responsibilities

Required Skills & Experience

Preferred Qualifications

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.

  • Analyze large, structured, and unstructured datasets to identify trends, patterns, and business opportunities.
  • Develop, train, validate, and deploy machine learning and predictive models.
  • Perform statistical analysis, hypothesis testing, and data mining to solve business challenges.
  • Partner with business stakeholders, product teams, and technology teams to define analytical requirements and success metrics.
  • Design and implement data science solutions that support forecasting, optimization, customer analytics, and risk assessment.
  • Build dashboards, visualizations, and reports to communicate insights effectively to technical and non-technical audiences.
  • Monitor model performance and continuously refine algorithms to improve accuracy and business value.
  • Ensure data quality, governance, and compliance with organizational standards.
  • Stay updated with emerging trends and advancements in AI, Machine Learning, and Data Science.
  • Strong experience in.Data Science, Machine Learning, and Advanced Analytics
  • Proficiency in Python or R and data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Strong knowledge of. Statistics, Probability, Predictive Modeling, and Feature Engineering
  • Experience with SQL and working with large-scale datasets.
  • Hands-on experience with cloud platforms such as.AWS, Azure, or GCP
  • Experience in data visualization tools such as.Power BI, Tableau, or Looker.
  • Understanding of MLOps practices, model deployment, and monitoring.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Master's or Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Experience with Generative AI, NLP, Deep Learning, or LLM-based solutions.
  • Knowledge of big data technologies such as Spark, Databricks, or Hadoop.
  • Relevant certifications in Data Science, AI, or Cloud technologies are advantageous.
  • Start: ASAP
  • Duration: 31/05/2027
  • Location: Glasgow (Hybrid-2/3 days per week), UK, GB
  • Rate: 39-39 EUR/h

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