Back to jobs

Data Scientist

Job description

Data Scientist (Mid/Senior)

Salary: £65,000

 

We are partnering with a leading consulting firm that is looking for a Data Scientist to join their team. This role offers the chance to work on innovative AI and data-driven transformation projects, helping businesses harness the power of technology to drive meaningful change.

 

As a Data Scientist, you will be responsible for developing AI models, analysing complex datasets, and optimising machine learning algorithms. You will collaborate with cross-functional teams to deliver high-impact solutions, guiding stakeholders through the data science process from model development to implementation.

 

What You’ll Need:

  • 1 to 7 years of experience in data science, AI, or machine learning.
  • A Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
  • Strong proficiency in machine learning techniques, including model training, testing, and feature selection.
  • Experience with big data tools such as Spark and Hadoop.
  • Hands-on coding experience in Python, Bash, and either Java or Scala.
  • Knowledge of statistical methods and data visualisation techniques.
  • Familiarity with advanced algorithms, including tree-based models (Random Forests, XGBoost, LGBM) and deep learning.
  • An analytical mindset with the ability to extract insights from complex datasets.
  • Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
  • A proactive, customer-focused approach to problem-solving.

 

Preferred Experience:

  • Background in financial services.
  • Exposure to startup environments or agile project methodologies.

 

Key Responsibilities:

  • Develop AI models and machine learning algorithms to solve business challenges.
  • Collect, clean, and preprocess large datasets to ensure accuracy and reliability.
  • Implement and fine-tune machine learning models, optimising performance through feature engineering.
  • Work with programming languages such as Python, Java, or Scala to build and deploy solutions.
  • Analyse and interpret model results, providing insights and recommendations to stakeholders.
  • Collaborate with technical and business teams to align AI solutions with strategic objectives.
  • Support and train clients on AI applications, ensuring smooth adoption and usage.
  • Stay up to date with the latest advancements in data science and contribute to best practices within the team.

Reference: WILL123861/MB

INDIT