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- Tasks: Lead data model development and analyse user behaviour to enhance product engagement.
- Company: Join a leading insurance client focused on workplace pensions and financial wellbeing.
- Benefits: Enjoy hybrid work options and the chance to mentor junior team members.
- Why this job: Make a real impact in financial services while collaborating with diverse teams.
- Qualifications: Strong SQL skills, experience with Python or R, and a background in data analytics required.
- Other info: 6-month contract inside IR35 with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
We are currently recruiting for a Senior Data Scientist with workplace pension experience to join one of our Insurance clients on a 6-month contract.
Inside IR35 Hybrid
Responsibilities:
- Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform.
- Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies.
- Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities.
- Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement.
- Collaborate closely with product managers, designers, and engineering to define KPIs, track product performance, and identify growth opportunities.
- Create dashboards and self-serve analytics tools to empower internal teams with real-time insights.
- Mentor and coach junior data team members, fostering their growth in analytics, modeling, and communication.
- Contribute to and uphold best practices in data quality, governance, and compliance, especially within the financial services sector.
Skills:
- Strong SQL skills and experience working with large, complex data sets.
- Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis.
- Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools.
- Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau).
- Solid grasp of statistics, experimentation design, and causal inference techniques.
- Excellent communication and stakeholder management skills—able to influence and align diverse teams.
- Demonstrated team leadership or people management experience.
- Experience working with multi-tenant platforms or white-labelled products.
- Understanding of workplace pensions, retirement planning, or financial wellbeing solutions.
- Familiarity with event tracking and user behavior tools (e.g., Amplitude, Mixpanel, Segment).
- Knowledge of privacy regulations and data handling best practices in financial services.
Senior Data Scientist employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to highlight your experience with workplace pensions and financial services during networking events or conversations. This will help you connect with industry professionals who can provide insights or referrals.
✨Tip Number 2
Engage with online communities or forums related to data science and pensions. Sharing your knowledge and asking questions can help you build a network that may lead to job opportunities.
✨Tip Number 3
Attend industry conferences or webinars focused on data science in the financial sector. These events are great for meeting potential employers and learning about the latest trends in data analytics.
✨Tip Number 4
Consider reaching out directly to current employees at StudySmarter or similar companies via LinkedIn. A friendly message expressing your interest in the Senior Data Scientist role can sometimes open doors to informal chats or insider tips.
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 workplace pensions and financial services. Emphasise your skills in SQL, Python or R, and any experience with product analytics platforms.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your background aligns with the responsibilities listed. Mention specific projects where you've developed data models or conducted A/B testing.
Showcase Your Technical Skills: In your application, provide examples of your proficiency in machine learning, predictive modelling, and statistical analysis. Highlight any experience with data visualisation tools like Tableau or Power BI.
Demonstrate Leadership Experience: If you have team leadership or mentoring experience, make sure to include this in your application. Discuss how you've contributed to the growth of junior team members and upheld best practices in data governance.
How to prepare for a job interview at Lorien
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL, Python, or R. Bring examples of past projects where you've implemented machine learning or predictive modelling, as this will demonstrate your hands-on experience and technical expertise.
✨Understand the Business Context
Familiarise yourself with workplace pensions and financial wellbeing solutions. Showing that you understand the industry will help you connect your technical skills to the specific needs of the company.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially around data analysis and experimentation design. Think of scenarios where you've successfully used A/B testing or cohort studies to drive product improvements.
✨Demonstrate Leadership and Mentoring Experience
Since the role involves mentoring junior team members, be ready to share examples of how you've led teams or coached others in analytics and communication. This will highlight your leadership capabilities and fit for the role.
