At a Glance
- Tasks: Lead data science and AI projects, ensuring smooth execution and clear communication.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy flexible working, private medical insurance, and discounts on Sony products.
- Other info: Great career growth opportunities in a dynamic environment.
- Why this job: Make a real impact in the tech world while developing your project management skills.
- Qualifications: Experience with technical teams and strong organisational skills are essential.
The predicted salary is between 50000 - 60000 £ per year.
As the Technical Project Manager within Data Science Enablement you will support the planning, coordination, and execution of data science and AI initiatives that help the Decision Science organization deliver measurable data science, machine learning and AI impacts more effectively. This is a hands‑on individual contributor role focused on programme planning, dependency management, stakeholder coordination, reporting and delivery execution. You will work closely with Data Scientists, ML Engineers, Data Engineers, Enablement Specialists and business stakeholders to help ensure projects are well‑defined, dependencies are understood and delivery progresses smoothly. Partnering with the D2C Data Solutions team, you will support the development and maintenance of operational dashboards and reporting that provide visibility into programme delivery, adoption and business outcomes.
Responsibilities
- Support planning & execution of data science and AI initiatives, ensuring timelines, milestones and dependencies are clearly defined and tracked.
- Maintain program plans, delivery artefacts and status reporting to support transparency and predictable execution.
- Coordinate across Business, Product, Data Science and Engineering teams to help unblock issues and keep initiatives moving forward.
- Track risks, issues and decisions, escalating appropriately and proposing mitigation options.
- Create dashboards and reporting to monitor delivery progress, operational health and adoption.
- Perform ad-hoc and recurring data analysis & visualisations to support prioritisation, in‑life monitoring and performance reviews.
- Partner with technical teams to understand solution scope, dependencies and constraints.
- Help translate initiative goals into actionable workstreams and execution plans.
- Support technical readiness activities including data availability, tooling access and process prerequisites.
- Support team operating cadences including intake, prioritisation, planning and review processes.
- Contribute to rollout, adoption and readiness activities for new solutions.
- Build and maintain operational dashboards, primarily using Domo.
- Support the availability and governance of reporting data sources.
- Partner with stakeholders to define metrics and establish trusted reporting views.
- Translate business questions into clear metrics, dashboards and visualisations.
- Provide day‑to‑day programme coordination and communication across stakeholders.
- Prepare concise updates and materials for planning sessions, reviews and retrospectives.
- Support senior team members in driving alignment across technical and business teams.
Benefits
- Private medical insurance.
- Private dental insurance.
- Flexible working policy (remote working, flexible hours).
- Free fruit every day in our offices.
- On‑site free gym (London & Liverpool).
- On‑site subsidised cafés.
- Employee Assistance Programme.
- Eye care assistance.
- 2 volunteering days each year.
- Group pension plan.
- Discretionary bonus scheme.
- Season ticket loans.
- Life assurance.
- Income protection.
- 25 days holiday, plus Bank Holidays.
- Discretionary days off over Christmas and summer.
- Free giveaways of select first‑party products and services.
- Discounts on PlayStation products.
- Discounts on Sony products.
- Access to other corporate discounts.
Qualifications
- Experience working with technical teams – Data Science, Engineering, Analytics, or similar.
- Degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field (or equivalent practical experience).
- Hands‑on experience building and maintaining dashboards and data visualisations, with a focus on clarity, usability and business relevance.
- Clear written & verbal communication, ability to convey technical concepts at an appropriate level.
- Strong organisational skills with the ability to manage multiple workstreams simultaneously.
- Comfort working with technical artefacts such as requirements, delivery plans, backlogs and analytical outputs.
- The role is ideal for someone who enjoys bringing structure to complex initiatives, working with technical teams and using data to support decision‑making.
- Strategic mindset with a passion for technology enablement and organisational impact.
- 5+ years (or equivalent) experience in a technical project, programme and/or delivery coordination role.
- Strong working knowledge of data analysis using SQL – including ability to write, debug and optimise queries across large datasets.
Technical Project Manager (Data Science Enablement) in London employer: PlayStation
As a Technical Project Manager within Data Science Enablement, you will thrive in a dynamic work culture that prioritises innovation and collaboration. Our commitment to employee growth is evident through our flexible working policies, comprehensive benefits including private medical and dental insurance, and opportunities for professional development. Located in vibrant cities like London and Liverpool, we offer unique advantages such as on-site gyms, subsidised cafés, and a supportive environment that encourages work-life balance and community engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Project Manager (Data Science Enablement) in London
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We think you need these skills to ace Technical Project Manager (Data Science Enablement) in London
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PlayStation. 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 PlayStation
✨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!
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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
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✨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.
