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For Companies At a Glance
- Tasks: Lead data transformation projects and optimise automated reporting pipelines.
- Company: Join a forward-thinking organisation embracing cloud and AI-driven analytics.
- Benefits: Competitive salary, 10% bonus, 27% pension, and hybrid working model.
- Why this job: Shape the future of data in a cloud-first environment with cutting-edge technologies.
- Qualifications: Strong experience in machine learning, Python or R programming, and SQL.
- Other info: Exciting career development opportunities and collaboration with cross-functional teams.
The predicted salary is between 36000 - 60000 £ per year.
This is a fantastic opportunity to join at the start of a major data transformation journey, as we move to the cloud with Microsoft Azure, Fabric, and Synapse technologies. We are investing in cutting-edge Cloud and AI-driven analytics, making this an exciting time to be part of our data science team. If you are a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you!
Key Responsibilities
- Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance.
- Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights.
- Maintain and further develop pricing analytics models and web applications for internal stakeholders.
- Drive segmentation modelling projects, improving customer targeting and personalization strategies.
- Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric.
- Play a key role in cloud migration projects, supporting the organization's transition to Azure-based analytics.
- Lead data discovery projects to onboard and analyze new data sources, helping shape our future data landscape.
- Champion coding best practices, version control, and testing within the data science team.
- Collaborate with internal teams and external partners, ensuring alignment with business goals.
What We're Looking For
- Strong experience in machine learning, statistical methods, and predictive modelling.
- Expertise in programming with Python or R, including optimization, modularization, and best practices.
- Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms.
- Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable.
- Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI.
- Knowledge of Generative AI and experience using LLMs in data workflows.
- Strong stakeholder management and communication skills, translating complex findings into actionable insights.
- Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.).
Why Join Us?
- Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem.
- Work with leading-edge cloud and data science technologies, including Azure, Fabric, and Synapse.
- Competitive salary + 10% discretionary bonus.
- Exceptional pension benefits with a 27% Civil Service pension scheme.
- Hybrid working model with flexibility.
- Collaborate with cross-functional teams and external data partners.
- Excellent career development opportunities with continuous learning and leadership potential.
This is an exceptional opportunity to play a key role in driving AI and cloud-based analytics innovation. If you're passionate about data science, cloud transformation, and predictive modelling, we'd love to hear from you! Apply today and be part of our exciting data journey!
Senior Data Scientist employer: Ignite Digital
Contact Detail:
Ignite Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 3
Show your passion for data! During interviews, share your thoughts on the latest trends in AI and cloud technologies. This will demonstrate your enthusiasm and keep the conversation engaging.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your expertise in predictive modelling, cloud technologies, and any relevant projects you've worked on. We want to see how you can contribute to our data transformation journey!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background aligns with our goals. Be sure to mention your experience with Azure and any innovative projects you've led. We love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your programming skills in Python or R, as well as your experience with SQL and data visualisation tools. We’re looking for someone who can hit the ground running, so make sure we see your technical prowess right from the start!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Ignite Digital
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure, Fabric, and Synapse. Brush up on your Python or R skills, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Predictive Modelling Skills
Prepare specific examples of predictive models you've built and how they impacted business decisions. Be ready to explain your thought process and the statistical methods you employed, as this will demonstrate your expertise.
✨Understand the Business Context
Research the company’s goals and how their data transformation journey aligns with them. This will help you tailor your answers to show how your skills can directly contribute to their objectives, particularly in customer behaviour forecasting and segmentation.
✨Prepare for Collaboration Questions
Since collaboration is key, think of examples where you’ve worked with cross-functional teams. Be ready to discuss how you communicated complex data insights to non-technical stakeholders, showcasing your strong communication skills.
