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- Tasks: Design and deliver innovative data-led products using advanced analytics and machine learning.
- Company: Join a forward-thinking company focused on data innovation and collaboration.
- Benefits: Competitive salary, flexible working, and opportunities for personal development.
- Why this job: Make a real impact by transforming data into actionable insights and product features.
- Qualifications: 1-3 years in analytics or data science, with skills in Python or SQL.
- Other info: Dynamic role with opportunities for growth and cross-functional collaboration.
The predicted salary is between 36000 - 60000 £ per year.
To support the design, prototype and delivery of innovative, data-led products by combining market insight, advanced analytics and modern data platforms. Working closely with Product Managers and Data Analysts, this role will convert data assets and models into scalable, commercially viable analytical insights, data visualisations and product features. The Product Innovation Analyst bridges commercial opportunity and technical feasibility, ensuring new products are designed with platform capabilities, data quality, performance and scalability in mind.
Principal responsibilities:
- Identify and define new data product opportunities enabled by advanced analytics, machine learning and large-scale data processing.
- Evaluate and test emerging AI technologies and analytical techniques and their suitability for use within our Customer Intelligence Platform to unlock new product capabilities.
- Drive product innovation from concept to launch, translating business and customer needs into technical product requirements and delivery specifications.
- Lead rapid prototyping and proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product concepts.
- Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration with the Product Team.
- Define and monitor technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs to optimise product performance.
Product Innovation & Technical Design responsibilities:
- Identify new product opportunities enabled by advanced analytics, machine learning and large-scale data processing.
- Identify new usage of existing attributes and products to create more value in existing data.
- Translate business and customer needs into technical product requirements.
- Support rapid prototyping and proof-of-concept development using Databricks notebooks and analytics outputs.
- Define product-level data structures, feature sets, scoring outputs and delivery formats in collaboration with the Product Team.
Product Launch & Performance responsibilities:
- Define technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs.
- Support internal enablement by translating technical product detail into usable sales and client-facing materials.
- Drive continuous optimisation using usage analytics, customer feedback and platform performance insights.
What success looks like in the role:
- Clear, concise and insightful data analytics which enable sound business decisions based on fact.
- Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client, sector, internal product need.
- Cross functional collaboration to enable continued improvement of Sagacity's Product Suite through the delivery of robust data insights.
- Ability to take accountability and ownership for client and internal deliverables.
- Your efforts result in streamlined data analysis, product builds and reduced time to market.
Competencies and Behaviours:
- 1-3 years analytics / data science experience.
- Practical knowledge of Delta Lake architecture and versioned datasets, Data pipelines, orchestration and scheduling concepts.
- Proficiency in analytical programming language such as Python and/or SQL, with the ability to interrogate datasets and validate analytical outputs.
- Experience designing data products using large-scale transactional, behavioural or marketing datasets.
- Understanding of data modelling concepts (fact/dimension models, feature engineering, aggregations).
- Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigation.
- Is curious, sceptical, inquisitive, suggests 'next steps' analysis and translates analytical findings to actionable insight.
- Flexible, self-motivated, good under pressure, has a commitment to personal development.
- Excellent communication skills, both written and verbal, with a willingness to engage and influence others.
- Commercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficial.
- Able to travel throughout the UK.
- Can be based at our London Office (min 2 days per week on site).
- Have the right to work in the UK.
Data Scientist employer: Sagacity
Contact Detail:
Sagacity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving machine learning and analytics. This will give you a leg up when chatting with hiring managers about your experience and capabilities.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in translating complex data insights into actionable business strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist. Highlight your experience with advanced analytics, machine learning, and any relevant projects that showcase your skills in data product design.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've turned data insights into actionable improvements and how you can contribute to our innovative product suite.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any experience with Delta Lake architecture. We want to see how you’ve used these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Sagacity
✨Know Your Data Inside Out
Make sure you’re familiar with the latest trends in data science, especially around advanced analytics and machine learning. Brush up on your knowledge of Delta Lake architecture and data pipelines, as these are crucial for the role. Being able to discuss specific projects where you've applied these concepts will really impress.
✨Showcase Your Prototyping Skills
Be prepared to talk about your experience with rapid prototyping and proof-of-concept development. If you’ve used Databricks notebooks or similar tools, share examples of how you’ve validated product concepts. This shows you can bridge the gap between technical feasibility and commercial opportunity.
✨Communicate Clearly and Effectively
Since this role involves cross-functional collaboration, practice explaining complex data insights in a clear and concise manner. Think about how you would translate technical details into usable materials for sales or clients. Good communication can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle multiple projects. Prepare examples of how you’ve managed deadlines and identified risks in past roles. Showing that you can plan ahead and mitigate issues will demonstrate your proactive approach.