Senior Data Scientist Senior Data Scientist …

in London, United Kingdom
Permanent, Full time
Last application, 11 May 21
in London, United Kingdom
Permanent, Full time
Last application, 11 May 21
Senior Data Scientist
Job Description

Where you'll fit in & what our team goals are....
You will play an integral leadership role in supporting modeling and data analysis and database needs supporting Columbia Threadneedle Investments. You will also manage and/or direct the creation and/or usage of large data sets, providing information-based decision logic and predictive modeling solutions, and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications. You will also provide analytic thought leadership and support in a lead business relationship role. You will need to demonstrate strong technical/problem solving skills.


How you'll spend your time....
  • Identify, develop and implement increasingly complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc.
  • Engage collaboratively with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.
  • Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.
  • Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. May provide technical advice and coaching to business analysts on best practices for usage and application of analytic output.
  • Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.
  • Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance polices and leaders.
  • May lead or provide informal leadership to a team of analytic resources.

Required Qualifications

To be successful in this role you will have....
  • Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.)
  • Strong demonstrable relevant experience
  • Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.
  • Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.
  • Experience with statistical programming (Python, SQL etc.) & data visualization software (Tableau / Power BI) in a data-rich environment.
  • Experience in AWS services such as Redshift, S3, Sagemaker etc.
  • Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.
  • Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
  • Ability to work effectively in a collaborative team environment.

Preferred Qualifications

If you also had this, it would be great....
  • PhD
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