The Value of Active Minds
About Jupiter
Jupiter is one of the UK’s leading investment management companies with just over 500 employees and £51.4 billion worth of assets under management (as at 30th June 2023).
Jupiter provides investment services to individual and institutional investors through mutual funds (UK unit trusts, Luxembourg SICAVs and Dublin OEICs), separately managed accounts and sub-advised funds. Jupiter has experienced a period of international growth with offices open in EMEA, APAC and the US.
The majority of our employees are based in our London office located just minutes from Victoria station which provides stair-free access from both the Underground’s Victoria line and National Rail platforms, as well as limited road crossings to the Jupiter office. Our London office was designed to encourage employees to live active, healthy lives with floor-to-ceiling windows that allow for greater natural light and the benefit of a private balcony, table tennis room, cycle storage and on-site shower and locker facilities. The short distance to Green Park and St James' Park also provides employees with a natural space to relax during their lunch break and a healthy alternative to office-based meetings.
We offer our UK employees a 3:2 hybrid working arrangement where Tuesdays, Thursdays and a third day of your choice are worked from the office. The other two days may be worked from home. This facilitates collaboration and allows employees to maximise productivity whilst maintaining a healthy work/life balance.
Background
The new role of Data Scientist – Client Group will be instrumental in driving strategic decision-making and maximising the effectiveness of an insight driven business development approach for Jupiter’s Client Group. The role is part of our established Data Science team, however, will be the first to focus on Client Group, adding to our existing Investment Management capabilities.
The Data Scientist will be responsible for the effective delivery of data driven insights by helping to discover information hidden in vast quantities of data. You will be expected to work closely with Client Group executives and colleagues from day one and should be confident in presenting and supporting any insights or signals generated from your work.
The role will report into the Data Science Lead and sits within the office of the Investment Management Chief Operating Officer. The work executed by the team often involves working with other areas of the business, such as Technology, Risk, and the Stewardship team.
The role offers a high level of exposure and responsibility and would suit someone who is constantly seeking to self-improve, performs best when part of a high-performing team, and takes responsibility for the work they deliver. The team has a start-up culture where all voices are equal, and performance is judged on merit and delivery.
Key Responsibilities
1. Data Analysis and Interpretation:
Assemble, clean, and preprocess large datasets from various sources including sales transactions, client interactions, and marketing campaigns.
Work with data engineers and data scientists to conduct exploratory data analysesto extract meaningful information.
Distil findings into relevant and actionable insights.
2. Predictive Modelling:
Develop, refine, and optimize predictive models to forecast sales trends, client turnover, and campaign outcomes.
Implement machine learning algorithms such as regression, classification, and clustering to build accurate and insightful models.
3. Marketing Optimisation:
Collaborate with marketing teams to design and effectively evaluate marketing campaigns.
Provide recommendations for optimizing marketing spend, targeting, and messaging to maximise impact.
4. Sales Enablement:
Support sales teams by providing insights into client preferences, buying and research behaviour, and product demand.
Identify cross-selling and upselling opportunities based on client segmentation, and predictive channel and client type analytics.
5. Data Visualisation and Reporting:
Create visually engaging dashboards and reports to communicate key findings and insights to stakeholders.
Present findings and recommendations to senior management and other relevant teams in a clear and understandable manner.
Desired Skills / Experience
Knowledge of SQL and R/Python essential. Knowledge of PowerBI and/or Tableau highly desirable.
Knowledge and experience of Data Science Python Libraries including: Pandas, NumPy, SciPy, StatsModels, scikit-learn, Plotly, and Matplotlib.
Previous experience or knowledge of handling large datasets and working with data stored within databases.
Understand the model build lifecycle, including feature selection and optimisation, model selection and validation, and ongoing model maintenance.
Experience working within, or in close collaboration with, sales, marketing, and/or CRM teams. Knowledge and/or interest in the investment management industry essential.
Strong team player, whilst also able to work independently as required and take ownership of projects.
Technology enthusiast, intellectually curious and a problem solver.
Ability to work under time pressure, give realistic estimates, and work to deadlines.
Strong written and verbal communication skills.
Knowledge and experience with Azure, Snowflake, and/or Databricks a plus.
Additional Role Details
Don’t meet every requirement? At Jupiter we are dedicated to building a diverse and inclusive workplace, so if you are interested in this role, but don’t think your experience aligns perfectly with every listed requirement in the job description, we would encourage you to apply. You may be the right person for this role.
