Data Scientist

Teksystems; London; On-site; GBP 50,000 - 70,000; Part time

Job summary

A global technology solutions firm in London is seeking a Data Scientist to join a new product team focused on innovative data-driven solutions. This role involves manipulating large datasets, developing machine learning models, and communicating insights to stakeholders. The ideal candidate should have strong experience with Python, big data tools, and cloud-based ML deployments.

Qualifications

• Experience deploying ML models in cloud-based production environments.
• Hands-on experience with Databricks.
• Strong foundation in software engineering, with a focus on testing and version control.

Responsibilities

• Combine, interrogate, and manipulate large datasets using big data tools.
• Develop and deploy machine learning models using Python.
• Evaluate model performance using relevant metrics.
• Communicate insights to business stakeholders.
• Optimize ETL pipelines for big data environments.
• Create dashboards and visualizations.

Skills

Python

Hadoop

Spark

scikit-learn

PySpark

Pandas

Tableau

Power BI

Domo

Databricks

Git

Job description

Overview

Data Scientist - New Product Team

We're building a brand-new team focused on developing innovative products in a high-impact area of the business. This is an exciting opportunity to join a founding team of 8 and shape the future of data-driven solutions at scale.

Responsibilities

• Combine, interrogate, and manipulate large datasets using big data tools such as Hadoop and Spark
• Develop and deploy machine learning models using Python and libraries like Pandas, scikit-learn, and PySpark
• Evaluate model performance using metrics such as AUC, recall, and others to align with business objectives
• Communicate directly with business stakeholders to translate statistical findings into actionable insights
• Build and optimize ETL pipelines for big data environments
• Create compelling dashboards and visualizations using tools like Tableau, Power BI, or Domo
• Apply software engineering best practices including version control (Git) and code quality

Preferred Qualifications

• Experience deploying ML models in cloud-based production environments
• Hands-on experience with Databricks
• Exposure to Generative AI applications in commercial settings
• Background in the financial industry
• Strong foundation in software engineering, with a focus on testing, version control, and robust code development

Skills

• Programming: Python
• Big Data: Hadoop, Spark
• ML Libraries: scikit-learn, PySpark, Pandas
• BI Tools: Tableau, Power BI, Domo
• Cloud & MLOps: Databricks, cloud deployment
• Version Control: Git
• Strong communication and stakeholder engagement

Job Details

Job Title: Data Scientist

Location: London, UK

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed). To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed). We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Privacy Notice" section of our Online Privacy Notice. We may take steps to verify your identity before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request in accordance with our commitments under applicable data protection laws.