Data Scientist
Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Description
At Aberdeen our ambition is to be the UKs leading Wealth & Investments group.
Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industrys best talent.
Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients customers colleagues shareholders and society.
We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service supported by leading technology and talent.
Aberdeen comprises three businesses interactive investor (ii) Investments and Adviser each of which focuses on meeting and adapting to our clients evolving needs:
interactive investor the UKs second largest direct-to-consumer investment platform enables individuals in the UK to plan save and invest in the way that works for them.
Our Adviser business provides financial planning solutions and technology for UK financial advisers enabling them to create value for their customers.
Our Investments business is a specialist asset manager that focuses on areas where we have both strength and scale to capitalise on the key themes shaping the market through either public markets or alternative asset classes.
About the department
At Aberdeen Adviser the Product Insights team helps the business understand how products perform what customers experience and where new opportunities lie. We bring together data engineering analytics and data science to produce insights that drive real decisions.
We work in cross-functional squads alongside product engineering and business colleagues.
Curiosity and experimentation are part of our culture and were embracing automation and new tooling to deliver faster and smarter.
Most data science roles focus on building Product Insights we go further helping shape the platform itself. That means equipping colleagues with the tools to do their best work and helping customers get more value from every interaction.
About the role
As a Data Scientist youll lead how we design test monitor and govern models from classical machine learning to agentic systems powered by large language models. Youll report to the Head of Product Insights with a broad remit to set direction and influence outcomes.
Key Responsibilities
Leading the design development validation and governance of machine learning and agent-based models including large language models and AI agents ensuring safety explainability and alignment with business goals.
Developing and implementing inventive validation approaches and robust monitoring processes for models and agentic systems including tracking behavior post-deployment for drift bias and fairness issues.
Designing and running experiments such as A/B tests quasi-experiments and causal inference studies to test hypotheses measure business impact and optimise decision-making.
Building scalable reusable data pipelines for feature engineering and insight generation automating workflows using Azure ML and Fabric and applying best practices in MLOps for deployment and retraining.
Collaborating cross-functionally with product engineering and business teams to translate complex data science outputs into actionable insights understandable to both technical and non-technical stakeholders.
Mentoring junior colleagues and engaging senior leaders to shape data science strategy promote a strong testing culture support data governance and drive the responsible adoption of emerging AI technologies in financial services.
About the candidate
Proficient in Python and/or R with strong engineering discipline and experience applying machine learning techniques including classical ML NLP and large language models (LLMs).
Solid grounding in statistics causal inference and advanced AI methods such as reinforcement learning and agentic systems with a proven track record in model validation monitoring and governance.
Skilled in designing and running experiments including A/B testing quasi-experiments and causal inference for measuring impact and guiding data-driven decisions.
Familiarity with Azure ML Fabric medallion architecture and MLOps best practices for model deployment scaling monitoring and retraining.
Excellent communication skills capable of bridging technical and business teams explaining complex data science outputs to diverse stakeholders.
Curious open-minded and engaged with emerging trends in data science and AI; able to mentor colleagues and influence senior stakeholders on data strategy and governance.
We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under the Disability Confident Scheme please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process.
Our benefits
Theres more to working life than coming home with a good salary. We have an environment where you can learn get involved and be supported.
When you join us your reward will be one of the best around. This includes 40 days annual leave a 16% employer pension contribution a discretionary performance-based bonus (where applicable) private healthcare and a range of flexible benefits including gym discounts season ticket loans and access to an employee discount portal. You can read more about our benefitshere.
Our business
Enabling our clients to be better investors drives everything we do. Our business is structured around three distinct areas our vectors of growth focused on our clients changing needs. You can find out more about what we dohere.
An inclusive way of working
Whatever way you like to work if you have the talent and commitment to join our team wed like to hear from you.
At Aberdeen weve adopted a blended working approach. This approach combines the benefits of face-to-face collaboration coaching and connecting in our offices with the flexibility of working from home. It enables colleagues to find a balance that works for their roles their teams our clients and our business.
Were committed to providing an inclusive workplace where all forms of difference are valued and which is free from any form of unfair or unlawful treatment. We define diversity in its broadest sense this includes but is not limited to our diversity of educational and professional backgrounds experience cognitive and neurodiversity age gender gender identity sexual orientation disability religion or belief and ethnicity and geographical provenance. We support a culture that values meritocracy fairness and transparency and welcomes enquiries from everyone.
If you need assistance or an adjustment due to a disability please let us know as part of your application and we will assist.
Employment Type
Full-Time
