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- Tasks: Lead data projects, build predictive models, and optimise reporting pipelines.
- Company: Join a forward-thinking team transforming data analytics with cloud technologies.
- Benefits: Enjoy a competitive salary, 10% bonus, 27% pension, and hybrid work flexibility.
- Why this job: Shape the future of data in a cloud-first environment with cutting-edge technologies.
- Qualifications: Strong experience in machine learning, Python/R programming, and SQL required.
- Other info: Exceptional career development opportunities and collaboration with cross-functional teams.
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’re 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.
- 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.
- Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus.
- 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.).
- 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 Search Limited
Contact Detail:
Ignite Digital Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with Azure, Fabric, and Synapse technologies. Since this role involves a significant cloud migration, demonstrating your knowledge and experience with these platforms during interviews will set you apart.
✨Tip Number 2
Showcase your experience in predictive modelling and machine learning by preparing examples of past projects. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
Brush up on your SQL skills and be prepared to discuss your experience with relational databases and data lakes. Being able to articulate how you've integrated data into cloud platforms will demonstrate your technical proficiency.
✨Tip Number 4
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging with our team can provide insights into the company culture and expectations, which can be invaluable during your interview.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, predictive modelling, and cloud technologies like Azure. Use specific examples that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the data transformation journey and how your skills align with the company's goals. Mention your experience with automated reporting pipelines and data integration into Azure Synapse & Fabric.
Showcase Relevant Projects: Include details of any relevant projects you've worked on, especially those involving predictive models, segmentation, or cloud migration. Highlight your role and the impact of your work on the organisation.
Highlight Communication Skills: Since stakeholder management is crucial for this role, emphasise your ability to translate complex data findings into actionable insights. Provide examples of how you've successfully communicated technical information to non-technical stakeholders.
How to prepare for a job interview at Ignite Digital Search Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, predictive modelling, and cloud technologies like Azure, Fabric, and Synapse. Bring examples of projects where you've successfully implemented these skills, as this will demonstrate your expertise.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach building predictive models or optimising data pipelines, and be ready to explain your thought process clearly.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams, share examples of how you've collaborated with others in previous roles. Emphasise your communication skills and ability to translate complex data insights into actionable strategies.
✨Demonstrate Your Passion for Data Science
Express your enthusiasm for data science and cloud transformation. Discuss any recent trends or technologies in the field that excite you, and how you see them impacting the future of analytics. This will show your commitment to continuous learning and innovation.
