At a Glance
- Tasks: Design AI-powered analytics solutions and transform complex data into clear insights.
- Company: Leading global organisation focused on innovation and responsible AI.
- Benefits: Hybrid work, professional development, and exposure to executive stakeholders.
- Other info: Collaborative environment with opportunities for career growth and influence.
- Why this job: Shape the future of enterprise analytics and make a real impact with AI.
- Qualifications: Experience in Data Science, Machine Learning, and business intelligence platforms.
The predicted salary is between 60000 - 80000 £ per year.
A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability.
Key Responsibilities
- Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms.
- Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.
- Partner with data, BI, and technology teams to optimise semantic models for AI readiness.
- Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.
- Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership.
- Establish best practices, standards, and governance frameworks for responsible AI adoption.
- Coach and support analytics teams in developing AI-ready modelling and insight capabilities.
About You
- Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field.
- Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.
- Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).
- Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.
- Deep understanding of data governance, data quality, statistical validation, and AI risk management.
- Comfortable operating in evolving environments where you can shape direction and define solutions.
Desirable Experience
- Microsoft Copilot, Azure OpenAI, or similar AI platforms.
- Retrieval-Augmented Generation (RAG) and semantic grounding techniques.
- Executive-level analytics solutions and trusted AI implementations.
- Highly regulated or data-governed environments.
What We Offer
- Opportunity to influence enterprise-wide AI and analytics strategy.
- Exposure to executive stakeholders and high-impact business initiatives.
- A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption.
- Hybrid working with flexibility and a strong commitment to professional development.
Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount. Apply now to avoid disappointment!
Data Scientist (AI & Conversational Analytics) in West Bromwich employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (AI & Conversational Analytics) in West Bromwich
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like All The Top Bananas!
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like All The Top Bananas.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Scientist (AI & Conversational Analytics) in West Bromwich
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at All The Top Bananas, 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 All The Top Bananas. 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 All The Top Bananas
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at All The Top Bananas!
✨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.
