Data Scientist in London

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 for assigned line of business (Asset Management). You will manage or direct the creation and usage of large data sets, providing information-based decision logic and predictive modeling solutions, and translate 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 whilst demonstrating 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 policies and leaders. May lead or provide informal leadership to a team of analytic resources.

To be successful in this role you will have… Knowledge of advanced statistical concepts and techniques, e.g. 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 are must-haves while other programming languages like SAS and R are preferred) & data visualization software in a data‑rich environment. Demonstrated project experience while working with AWS/Azure/Snowflake. Proven executive presence communication skills, with the ability to translate complex digital performance data into clear, actionable insights that influence prioritization and investment; ability to communicate to less technical partners. Strong experience partnering with senior leaders to drive aligned, data‑informed decisions and business outcomes. Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations. Ability to work effectively in a collaborative team environment.

If you also had this, it would be great… Experience with big data technologies, Cloud Computing Environments (including container creation, management & deployment), Spark, etc. MBA or advanced degree in analytics, economics, statistics, or related field. Experience working in regulated industries or highly matrixed, enterprise environments. Experience modernizing or scaling enterprise experimentation programs and attribution frameworks. Track record of leading analytics organizations through significant transformation or maturity shifts.

About Columbia Threadneedle Investments Working at Columbia Threadneedle Investments you’ll find growth and career opportunities across all of our businesses. We’re intentionally built to help you succeed. Our reach is expansive with a global team of 2,500 people working together. Our expertise is diverse with more than 650 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Columbia Threadneedle is a people business and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to providing an inclusive workplace that supports the diversity of our employees and reflects our broader communities and client‑base. We appreciate that work‑life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.