Country/Region:  GB
Requisition ID:  30267
Work Model:  Hybrid
Position Type:  Permanent
Salary Range: 
Location:  ROW -LONDON-CLIENT SITE

Title:  Sr Data Analyst

Description: 

Area(s) of responsibility

Role: Data Scientist/ML Engineer

Location – London

 

Job Overview:

We are seeking a highly skilled and motivated Data Scientist/ML Engineer to join our team. The successful candidate will be responsible for developing and implementing machine learning models, conducting complex data analysis, and creating sophisticated algorithms to assist in decision-making. You will be working closely with stakeholders to understand their business objectives, designing and implementing models to support strategic initiatives, and presenting findings to the wider business team. This role requires a combination of data engineering, machine learning, and statistical skills along with a strong business acumen.

Responsibilities:

  • Develop, implement, and validate predictive models using machine learning algorithms.
  • Analyze large, complex datasets to extract insights and decide on the appropriate techniques for data analysis.
  • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
  • Stay updated with the latest technological trends in data science and machine learning to incorporate new techniques into existing operations.

Required Skills

  • Proficiency in Python or R for developing data science and machine learning models.
  • Strong knowledge of machine learning algorithms and principles.
  • Experience with SQL and database management.
  • The candidate must have a master’s degree in computer science, Statistics, Mathematics, or a related field, with a strong focus on data science and machine learning.

Preferred Skills

  • Familiarity with big data platforms like Hadoop or Spark.
  • Experience with data visualization tools such as Tableau or PowerBI.
  • Knowledge of deep learning frameworks like TensorFlow or PyTorch.
  • Understanding cloud platforms like AWS, Google Cloud, or Azure.
  • Proficiency in Java or C++.
  • Experience with natural language processing.
  • Knowledge of statistical analysis and experimental design.
  • Familiarity with data cleaning and preprocessing.
  • Experience with version control systems like Git.
  • Understanding of Agile/Scrum methodologies.

Required Experience

3-6 yrs