Data Scientist - Customer & Operational Analytics

Leading Professional Services organisation require a Data Scientist to join their Customer & Operational Analytics team to continue their transformation into a truly insight and data driven organisation. Over the last 2 years they have merged three businesses together and are now moving on to the next phase of their journey using the power of the combined data to transform how they do business.

Client Details

Leading Professional Services organisation

Description

Leading Professional Services organisation require a Data Scientist to join their Customer & Operational Analytics team to continue their transformation into a truly insight and data driven organisation. Over the last 2 years they have merged three businesses together and are now moving on to the next phase of their journey using the power of the combined data to transform how they do business.

They are looking for an individual who is passionate for insight from data and using statistical models to drive business performance, make business impact through this and support the building of a data driven organisation both technically and culturally.

Key Responsibilities:

• Supporting the insight and data team and the wider business in understanding the information they have and driving the right measures that will lead to improved business performance.
• Feed insights, analysis and recommendations into operational discussions, regular reporting, and post implementation reviews
• Developing a modelling and machine learning approach supporting the transition to data driving decisions
• Provide regular reporting to enable data led measurement of commercial activity and initiatives.
• Supporting the delivery of a business wide operational change programme using data to improve business performance and identify new opportunities.
• Develop explain and implement statistical and machine learning models to drive key business decisions.
• Develop insights and recommendations rather than just data facts feeding into strategic initiatives to providing understanding of performance versus targets and controls - A/B & multivariant testing.
• Maintain an important level of awareness of key operational metrics required and how these are changing.
• Interrogate CRM data to analyse customer behaviour and glean actionable insights to feed into business decisions.
• Document and present analytics to senior audiences in a way which easily understood by those who are non-technical.
• Support in the structural development of data and reporting helping to guide how these can aid the business in faster and better design making.

Key Skills:

• High numeric capability evidenced degree or equivalent qualification.
• Essential: SQL or Python, Advanced Excel
• Essential: Experience in developing and using statistical models and machine learning in a business setting
• Desirable: PowerBI, Tableau, Databricks, Synapse, Alteryx
• Experience data wrangling within Microsoft Azure and Alteryx an advantage
• Ability to manage multiple partners, prioritise and deliver to tight deadlines.
• Ability to clearly communicate actionable insights and complex findings to key business partners.
• Ability to work both independently as well as part of a Team.

Profile

• High numeric capability evidenced degree or equivalent qualification.
• Essential: SQL or Python, Advanced Excel
• Essential: Experience in developing and using statistical models and machine learning in a business setting
• Desirable: PowerBI, Tableau, Databricks, Synapse, Alteryx
• Experience data wrangling within Microsoft Azure and Alteryx an advantage
• Ability to manage multiple partners, prioritise and deliver to tight deadlines.
• Ability to clearly communicate actionable insights and complex findings to key business partners.
• Ability to work both independently as well as part of a Team.

Job Offer

Opportunity to join a rapidly expanding organisation

Opportunity to drive the adoption of Data Science and advanced analytics

Desired Skills and Experience

Leading Professional Services organisation require a Data Scientist to join their Customer & Operational Analytics team to continue their transformation into a truly insight and data driven organisation. Over the last 2 years they have merged three businesses together and are now moving on to the next phase of their journey using the power of the combined data to transform how they do business.

They are looking for an individual who is passionate for insight from data and using statistical models to drive business performance, make business impact through this and support the building of a data driven organisation both technically and culturally.

Key Responsibilities:

* Supporting the insight and data team and the wider business in understanding the information they have and driving the right measures that will lead to improved business performance.
* Feed insights, analysis and recommendations into operational discussions, regular reporting, and post implementation reviews
* Developing a modelling and machine learning approach supporting the transition to data driving decisions
* Provide regular reporting to enable data led measurement of commercial activity and initiatives.
* Supporting the delivery of a business wide operational change programme using data to improve business performance and identify new opportunities.
* Develop explain and implement statistical and machine learning models to drive key business decisions.
* Develop insights and recommendations rather than just data facts feeding into strategic initiatives to providing understanding of performance versus targets and controls - A/B & multivariant testing.
* Maintain an important level of awareness of key operational metrics required and how these are changing.
* Interrogate CRM data to analyse customer behaviour and glean actionable insights to feed into business decisions.
* Document and present analytics to senior audiences in a way which easily understood by those who are non-technical.
* Support in the structural development of data and reporting helping to guide how these can aid the business in faster and better design making.

Key Skills:

* High numeric capability evidenced degree or equivalent qualification.
* Essential: SQL or Python, Advanced Excel
* Essential: Experience in developing and using statical models and machine learning in a business setting
* Desirable: PowerBI, Tableau, Databricks, Synapse, Alteryx
* Experience data wrangling within Microsoft Azure and Alteryx an advantage
* Ability to manage multiple partners, prioritise and deliver to tight deadlines.
* Ability to clearly communicate actionable insights and complex findings to key business partners.
* Ability to work both independently as well as part of a Team.