At a Glance
- Tasks: Develop machine learning models to enhance member engagement and retention.
- Company: Join Blue Light Card, the UK's top discount platform for community heroes.
- Benefits: Enjoy a hybrid work model, competitive salary, and a focus on continuous learning.
- Other info: Be part of a diverse team that values innovation and collaboration.
- Why this job: Make a real impact by using data to improve customer experiences and business strategies.
- Qualifications: Experience in data science, marketing analytics, and proficiency in Python and SQL required.
The predicted salary is between 63000 - 77000 £ per year.
Blue Light Card is the UK's leading discount and benefits platform dedicated to supporting the real-life heroes who serve their communities, including healthcare workers, emergency services, teachers, social care professionals, and the armed forces.
Since its launch, the company has grown rapidly by providing exclusive discounts, innovative products, and exceptional member experiences.
Blue Light Card promotes a collaborative, inclusive, and data-driven culture where innovation and continuous improvement are at the heart of everything they do.
About the Role
As a
Data Scientist - Decision Sciences , you will develop and improve machine learning models that enhance member retention, engagement, and lifetime value.
Working closely with CRM Lifecycle, Product, Marketing, and Analytics teams, you will analyze customer behavior, build predictive models, evaluate existing data pipelines, design forecasting models, conduct A/B testing, and provide data-driven recommendations that influence business strategy.
This hybrid position combines technical data science expertise with business collaboration to improve customer experience and organizational decision-making.
Qualifications
- Significant experience as a Data Scientist.
- Background in marketing analytics, e-commerce, loyalty, or membership-based businesses.
- Strong proficiency in Python for machine learning and data analysis.
- Advanced SQL skills with experience using dbt.
- Experience building predictive machine learning models.
- Strong knowledge of statistical analysis, regression, causal inference, and experimental design.
- Experience with A/B testing and holdout experiments.
- Knowledge of MLOps practices and model deployment pipelines.
- Experience collaborating with CRM or lifecycle marketing teams.
- Familiarity with Customer Lifetime Value (CLV) models such as BG/NBD, Pareto/NBD, or similar is desirable.
Skills
- Technical Skills
- Python
- SQL
- dbt
- Predictive Analytics
- Customer Retention Modeling
- Churn Prediction
- Customer Lifetime Value (CLV) Modeling
- Marketing Analytics
- Marketing Mix Modeling
- Statistical Analysis
- Regression Analysis
- A/B Testing
- MLOps
- CRM Analytics
- Soft Skills
- Analytical thinking
- Problem-solving
- Business acumen
- Communication with technical and non-technical stakeholders
- Collaboration and teamwork
- Critical thinking
- Data storytelling
- Decision-making
- Continuous learning
- Equal Opportunity Employer
Blue Light Card is an equal opportunities employer committed to building a diverse and inclusive workplace where everyone feels valued and respected.
Employment decisions are based solely on qualifications, skills, experience, and business needs, without discrimination based on race, ethnicity, gender, age, disability, religion, sexual orientation, gender identity, or any other characteristic protected under applicable law.
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Data Scientist - hybrid in Leicester employer: Torentify
Blue Light Card is an exceptional employer that champions a collaborative and inclusive work culture, making it an ideal place for Data Scientists looking to make a meaningful impact. With a strong focus on innovation and continuous improvement, employees benefit from opportunities for professional growth while working in a hybrid environment that fosters teamwork across various departments. The company's commitment to supporting real-life heroes through exclusive discounts and benefits adds a unique sense of purpose to the role, ensuring that your contributions directly enhance the lives of those who serve our communities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - hybrid in Leicester
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We think you need these skills to ace Data Scientist - hybrid in Leicester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Torentify, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Torentify. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Torentify
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
