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- Tasks: Design and deliver innovative data products using advanced analytics and machine learning.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working, and opportunities for personal growth.
- Why this job: Make an impact by transforming data into actionable insights and product features.
- Qualifications: 1-3 years in analytics or data science; proficiency in Python or SQL.
- Other info: Collaborative environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Purpose of the role: 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 Data Scientist bridges commercial opportunity and technical feasibility, ensuring new products are designed with platform capabilities, data quality, performance and scalability in mind.
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 mitigations.
- 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).
Data Scientist in London employer: Sagacity
Contact Detail:
Sagacity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data science game. You never know when a casual chat could lead to your next big opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving advanced analytics and machine learning. Use platforms like GitHub to share your code and insights. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your past projects in detail. Remember, it’s not just about what you know, but how you apply it!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us innovate and drive product development. Make sure your application stands out by tailoring it to the specific role and highlighting your relevant experience.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Scientist role. Highlight your experience with data analytics, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our innovative products. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any experience with Delta Lake architecture or data pipelines. We’re keen to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Sagacity
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science concepts relevant to the role. Brush up on Delta Lake architecture, data pipelines, and analytical programming languages like Python and SQL. Being able to discuss these topics confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified data product opportunities or solved complex problems using advanced analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Business Context
Familiarise yourself with the company’s products and how data insights drive their success. Be ready to explain how your analytical skills can translate into actionable improvements for their product suite. This shows you’re not just a techie but also understand the commercial side of things.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, product development processes, and how they measure success. This not only demonstrates your interest in the role but also gives you a chance to assess if the company is the right fit for you.