Data Scientist

Harnham
London, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£60,000.0 - £65,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Python (Programming Language) Machine Learning Standard Sql Feature Engineering

Job description

This is an excellent opportunity for a Data Scientist to join a growing product and analytics team, helping to develop innovative data-driven products powered by advanced analytics and AI. You’ll have the chance to combine technical expertise with commercial impact, working closely with both internal stakeholders and clients to deliver meaningful insights and solutions., You will work across product, analytics, and client teams to develop and enhance data-led products and services., * Identifying opportunities for new analytics and AI-driven products

  • Translating business and client requirements into technical solutions
  • Building and testing analytical models and proof-of-concepts
  • Developing data products, scoring methodologies, and insight-driven solutions
  • Presenting findings and recommendations to both internal stakeholders and clients
  • Monitoring product performance and driving continuous improvement

Requirements

  • Strong commercial experience in Data Science, Analytics, or a related field
  • Proficiency in Python and SQL
  • Experience working with large-scale customer, transactional, behavioural, or marketing datasets
  • Understanding of machine learning techniques and analytical product development
  • Knowledge of data modelling and feature engineering principles
  • Ability to communicate complex analytical concepts to non-technical audiences
  • Experience working directly with clients or customer-facing stakeholders
  • Strong problem-solving and stakeholder management skills

About the company

They are a data-focused organisation that develops advanced analytics and customer intelligence solutions for a broad range of businesses. Through the use of modern data technologies, machine learning, and market insight, they help clients make better decisions and unlock greater value from their data. Innovation and product development sit at the heart of their strategy, creating a collaborative and forward-thinking environment.

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