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- Tasks: As a Senior Data Scientist, you'll build predictive models and enhance customer communication strategies.
- Company: Wealthify is an award-winning online investment company based in Penarth, Wales, focused on accessible investing.
- Benefits: Enjoy a competitive salary, 24+ days holiday, private medical insurance, and a vibrant office culture.
- Why this job: Join a diverse team dedicated to transforming customer experiences and making investing easy and affordable.
- Qualifications: Experience in Data Science, SQL, Python, and stakeholder management is preferred; innovation is key!
- Other info: Work in a fun environment with a gym, games room, and plenty of social activities.
The predicted salary is between 43200 - 84000 £ per year.
Company Overview: Wealthify is an ambitious, multi-award-winning online investment company located in Penarth, Wales. We’re here to inspire anyone to build their future wealth, and we do this by making investing easy, affordable, and accessible. We’re hiring talented people who are purpose driven and want to use and develop their skills to deliver an awesome experience to our customers. Our team is engaging, inquisitive, and inclusive, reflecting many different beliefs and backgrounds. We welcome people who can bring diversity to our team, and work towards a shared goal to deliver an exceptional investment experience.
What your job will be: The Data and Analytics team are playing an important role in Wealthify’s growth ambitions. We want to transform the way we communicate with our customers. To gain deeper understanding of their relationship with us including their digital journeys. To use insight and analytics to help design new products and propositions that support our customers and help them to grow their wealth. To provide intelligence to the business that enables them to make the right strategic decisions to drive business performance and improve customer experience.
In your role as Senior Data Scientist you’ll:
- Utilise our data science capability to predict likelihood to convert.
- Build logistic regression and machine learning models.
- Help deliver a data driven omni-channel communication strategy, systemic comms sent to the right customers, for the right reasons at the right time to convert more prospects, cross-sell and better retain our customers.
- Build timely triggers based on indicators of customer need.
- Create insight to inform messaging and how we segment our customers.
- Measure the incremental impact of our customer communications.
- Help to deliver programmes of test and learn across customer communications, set up to be measurable.
- Take technical information and translate effectively into comprehensive, relevant and useful presentation/communication.
What we’re looking for: We value simplicity, communication, teamwork, trust, and confidence. These core values are what make us tick and keep us all on the same page - not just with how we work individually, but how we engage with each other and the service we offer. We don’t need you to tick all these boxes (in fact we’d encourage you to apply even if you don’t!), but this gives you an idea of what we are looking for:
- Proven experience in Data Science, preferably in a start-up or fast-paced environment and/or within Financial Services.
- Build new propensity models (regression / machine learning) to enable us to grow the number of products our customers have with us, increase their balance and to retain more customers.
- Enhance our 600-attribute modelling dataset as new source of data become available.
- Help identify and utilise data science techniques and developments in AI.
- Evidence of having influenced programmes of omni channel customer contact to generate income.
- Experience in the following or similar: SQL and Python programming languages, Google Analytics, Google Tag Manager, Google Big Query - not essential but useful, Power BI (or similar), Working in Public Cloud environment, preferably Azure.
- Excellent communication skills and stakeholder management; the ability to consult and provide insights and recommendation to senior stakeholders.
- Proven ability to take the initiative and be innovative.
What we give you in return:
- Competitive salary up to £60,000.
- 24 days holiday a year – plus bank holidays (you will earn an extra day holiday for each full year you’re with us, up to 28 days).
- Annual bonus between 0-20% of your annual salary which is linked to both the company and individual performance.
- Private Medical Insurance.
- Death in Service Cover (X3 your annual salary).
- Income Protection Insurance.
- Company Pension Plan.
- Healthify – a team to support the health and wellbeing of all staff at Wealthify.
- Ministry of Fun – providing plenty of social activities and events throughout the year.
- Brand new offices in the picturesque Penarth Marina.
- Free office gym.
- Free parking nearby.
- A collaboration space and games room.
We’re a responsible company and are constantly working to improve our culture, ethics, impact on the environment, and our contribution to charitable causes.
Senior Data Scientist employer: Wealthify
Contact Detail:
Wealthify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with Wealthify's mission and values. Understanding their focus on making investing accessible and their commitment to diversity will help you align your responses during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Brush up on your technical skills, especially in SQL and Python, as well as machine learning techniques. Being able to discuss specific projects where you've applied these skills will demonstrate your hands-on experience and readiness for the role.
✨Tip Number 3
Prepare examples of how you've used data science to influence customer communication strategies in previous roles. This will show your ability to contribute to Wealthify's goal of enhancing customer engagement through data-driven insights.
✨Tip Number 4
Network with current or former employees of Wealthify on platforms like LinkedIn. Gaining insights from their experiences can provide you with valuable information about the company culture and expectations, which you can leverage during your application process.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in building models and working with SQL and Python. Emphasise any experience in fast-paced environments or financial services, as this aligns with what Wealthify is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can transform customer experiences. Mention specific projects where you've successfully used data to drive decisions or improve outcomes, showcasing your ability to communicate insights effectively.
Showcase Your Technical Skills: Be sure to include any relevant technical skills in your application, such as experience with Google Analytics, Power BI, or working in a public cloud environment like Azure. Highlighting these skills will demonstrate your fit for the role.
Demonstrate Cultural Fit: Wealthify values simplicity, communication, and teamwork. Use your application to illustrate how you embody these values. Share examples of how you've worked collaboratively in diverse teams and contributed to a positive work culture.
How to prepare for a job interview at Wealthify
✨Showcase Your Data Science Skills
Be prepared to discuss your experience with data science techniques, especially in building propensity models. Highlight specific projects where you've successfully implemented machine learning or regression models, and be ready to explain the impact of your work.
✨Communicate Clearly
Since excellent communication skills are crucial for this role, practice explaining complex technical concepts in simple terms. Think about how you can present your insights and recommendations effectively to non-technical stakeholders.
✨Demonstrate Your Initiative
Wealthify values innovation and proactivity. Prepare examples of situations where you've taken the initiative to solve a problem or improve a process. This will show that you're not just a follower but a leader in your field.
✨Understand Their Values
Familiarise yourself with Wealthify's core values: simplicity, communication, teamwork, trust, and confidence. Be ready to discuss how your personal values align with theirs and how you can contribute to their team culture.