Job Information
Janus Henderson Investors Data Scientist in London, United Kingdom
Why work for us?
A career at Janus Henderson is more than a job, it’s about investing in a brighter future together.
Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.
Our Values are key to driving our success, and are at the heart of everything we do:
Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust
If our mission, values, and purpose align with your own, we would love to hear from you!
Your opportunity
The Data Scientist will develop and deliver AI and machine learning solutions that improve operational effectiveness, generate investment insights and enhance client servicing
Build and deploy AI applications using RAG framework, including developing data pipelines to source structured and unstructured data, generate vector embeddings, create search index, and build UI using Streamlit
Leverage advanced Machine Learning techniques, including Random Forest, Gradient Boosting, Clustering etc. to develop predictive models to drive customer engagement, retention, asset growth etc.
Use Natural Language Processing techniques to parse large volumes of unstructured data to generate actionable insights for business stakeholders
Develop and maintain complex data pipelines to extract data from on-prem and cloud data warehouses
Partner with all areas of the Enterprise to identify opportunities to leverage data science capabilities and deliver creative solutions
Participate in cross functional programs and projects to deliver business intelligence through data science
Deliver effective, consistent, and streamlined dashboards for leadership to identify key gaps in performance and coach to stronger business outcomes
Develop relationships with business areas, data operations, technology, and risk to oversee the delivery of data-related services to the organization
Support a culture of analytics and using new technologies to support business expansion
Carry out other duties as assigned
What to expect when you join our firm
Hybrid working and reasonable accommodations
Generous Holiday policies
Excellent Health and Wellbeing benefits including corporate membership to ClassPass
Paid volunteer time to step away from your desk and into the community
Support to grow through professional development courses, tuition/qualification reimbursement and more
Maternal/paternal leave benefits and family services
Complimentary subscription to Headspace – the mindfulness app
All employee events including networking opportunities and social activities
Lunch allowance for use within our subsidized onsite canteen
Must have skills
Masters in Computer Science or Data Science
Experience in data science and analytics, preferably in the asset management industry
Expertise in data science that includes behavioral analytics, statistical analyses, machine learning, deep learning and natural language processing
Experience developing, implementing and maintaining machine learning models
Experience developing Generative AI applications using RAG
Experience optimizing LLM queries using prompt engineering techniques
Have programming skills needed for both the computational aspects of big data as well as working with statistical models (e.g., complex SQL scripts, distributed computing, analysis using Jupyter Notebooks)
Experience programming in Python, R, Java and/or C+
- Proficient with Business Intelligence (BI) tools (e.g., Tableau, PowerBI)
Experience with cloud computing tools such as Data Bricks (or similar) for AI/ML
Familiarity with cloud data stores; both SQL and no-SQL (Hadoop, Hive, Azure SQL, Cosmos, Snowflake)
Experience analyzing large scale datasets across finance, marketing, distribution, and product data
Experience with model governance processes and building documentation to demonstrate model effectiveness to internal and external regulators
Experience partnering and managing offshore analytics and data science teams
Nice to have skills
Self-motivated, driven and solution-oriented mindset, with a proven track record of execution
Proven ability to summarize key information and presenting recommendations to multiple stakeholders to influence senior management and non-technical audiences
Have a demonstrated history of execution excellence and help drive prioritization and negotiation across the user-base to identify and deliver on high impact initiatives
Stay abreast of advances in AI, and data science techniques (e.g., decision trees, linear/ multinomial logistic/ridge regressions, collinearity analysis (VIF), machine learning, string similarity, behavioral analytics, look-a-like models)
Supervisory responsibilities
No
Potential for growth
Mentoring
Leadership development programs
Regular training
Career development services
Continuing education courses
You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.
At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.
#LI-MM1, #LI-Hybrid
Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).
All applicants must be willing to comply with the provisions of Janus Henderson Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position. Janus Henderson is an equal opportunity /Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.