Data Scientist - Client Analytics & Predictive Modelling

Harnham; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Harnham, a leading data and analytics consultancy in London, is seeking a Data Scientist to deliver predictive models and data-driven insights for a diverse client base. You will translate business problems into analytical approaches, work with stakeholders and present model outputs to non-technical audiences.

You'll build and refine models, leverage Python and SQL, and explore large datasets, with exposure to Databricks and cloud technologies.

Qualifications

• Strong commercial experience using Python and SQL.
• Experience building, training and improving machine learning or predictive models.
• Ability to analyse complex datasets and translate findings into business insight.
• Strong communication skills with the ability to engage both technical and non-technical audiences.

Responsibilities

• Build and refine predictive models, including propensity and customer behaviour models.
• Work closely with clients to understand business problems and define analytical approaches.
• Lead and contribute to data discovery sessions with business stakeholders and subject matter experts.
• Analyse large datasets to identify trends, patterns and opportunities.
• Present findings, recommendations and model outputs to both technical and non-technical audiences.
• Prototype and test new analytical approaches using modern data science tools and techniques.
• Contribute to the optimisation and ongoing improvement of deployed models.
• Support the development of scalable data products and analytical solutions.

Skills

Python

SQL

Machine learning

Data analysis

Tools

Databricks

Job description

Harnham, a leading data and analytics consultancy in London, is seeking a Data Scientist to deliver predictive models and data-driven insights for a diverse client base. You will translate business problems into analytical approaches, work with stakeholders and present model outputs to non-technical audiences.

You'll build and refine models, leverage Python and SQL, and explore large datasets, with exposure to Databricks and cloud technologies.