Data Scientist
We are seeking 2 Data Scientists for a leading retail banking client of ours, to join their finance performance and insights unit.
These roles will be crucial for two major programmes spanning the whole of 2025, this area focuses on forecasting the performance of new banking products in the market, calculating the Return on Investment (RoI), and comparing performance against other banks' products.
The data scientists will build data and forecasting models to provide insights into product performance and support business decision-making.
This will be a 6-month initial contract, with a high likelihood of further extensions.
Mostly remote, with occasional (once or twice a month) travel into Edinburgh.
Responsibilities- Build predictive and forecasting models to analyse the performance of new banking products.
- Develop and maintain data models to support business decisions.
- Collaborate with finance teams to understand requirements and deliver insights.
- Utilise Python and Spark/PySpark for data analysis and model building.
- Support data migration and ensure data integrity.
- Analyse data to calculate Return on Investment (RoI) and compare product performance with competitors.
- 2+ years of experience in data science.
- Background in data engineering.
- Proficiency in Python and Spark/PySpark.
- Experience in building predictive and forecasting models.
- Experience in the banking sector is a plus.
- Strong SQL skills.
- Knowledge of machine learning techniques.
Edinburgh, UK
Rate/Salary.00 GBP Daily
Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No 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 our website.
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 our website.
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 "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Reference: 2853951310
Data Scientist
Posted on Nov 20, 2024 by TEKsystems
We are seeking 2 Data Scientists for a leading retail banking client of ours, to join their finance performance and insights unit.
These roles will be crucial for two major programmes spanning the whole of 2025, this area focuses on forecasting the performance of new banking products in the market, calculating the Return on Investment (RoI), and comparing performance against other banks' products.
The data scientists will build data and forecasting models to provide insights into product performance and support business decision-making.
This will be a 6-month initial contract, with a high likelihood of further extensions.
Mostly remote, with occasional (once or twice a month) travel into Edinburgh.
Responsibilities- Build predictive and forecasting models to analyse the performance of new banking products.
- Develop and maintain data models to support business decisions.
- Collaborate with finance teams to understand requirements and deliver insights.
- Utilise Python and Spark/PySpark for data analysis and model building.
- Support data migration and ensure data integrity.
- Analyse data to calculate Return on Investment (RoI) and compare product performance with competitors.
- 2+ years of experience in data science.
- Background in data engineering.
- Proficiency in Python and Spark/PySpark.
- Experience in building predictive and forecasting models.
- Experience in the banking sector is a plus.
- Strong SQL skills.
- Knowledge of machine learning techniques.
Edinburgh, UK
Rate/Salary.00 GBP Daily
Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No 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 our website.
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 our website.
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 "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Reference: 2853951310
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