Data Scientist jobs at Sony in United Kingdom

You will:

• Lead customer marketing data analysis

• Proactively deliver insights and drive internal customer understanding

• Drive customer data utilisation

• Perform visualisation and in-depth data analysis using BI tools

• Support and drive customer marketing KPIs

You will bring:

• A passion for marketing data and online consumer journeys within B2C marketing.

• Expertise in working with eCommerce platforms, online stores, or communication systems.

• Hands-on experience in analysing large-scale customer data using SQL, Power query, and proficiency with BI tools such as Power BI, Tableau.

• Familiarity with marketing technologies, including CDP, DMP, and marketing automation tools (web analytics).

• Exceptional interpersonal skills with the ability to build trust and communicate to multicultural audiences.

• Advanced proficiency in MS Office Suite (Excel, PowerPoint, Word, Outlook).

Your new office

Based at the Weybridge office, you will enjoy a vibrant and friendly working environment. We have an onsite canteen with a wide range of options available, and a barista style coffee shop. There is a well-provisioned onsite gym run by our own Sony Wellbeing Coordinator, with classes on set days in the mornings, at lunch and after work hours. We have a staff car park which includes electric charging points, an undercover and secure bike rack (useful if you’ve made the most of the Cycle-to-Work scheme), or if you will use public transport we have a shuttle bus service that regularly runs between train station and the office at peak times.

Take a look at our video tour of the Weybridge site here:

or by mail to: Sony Europe Limited, Human Resources Department, the Heights, Brooklands, Surrey, KT13 0XW, UK. When contacting us please indicate the position you are applying for, and the accommodation required.

You’ll work across the global information security team to understand the unique problems and constraints, then dig into the data-rich environment to find the pieces of the puzzle. You’ll write scripts, build predictive analytics, automate processes, apply machine learning techniques, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions.

Job Responsibilities

• Develop a comprehensive knowledge of the business to derive data science project requirements.Gather information, business goals, priorities, and organizational context around the questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

• Design and evaluate models to mathematically express and solve defined problems with limited precedent.

• Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

• Analyze large amounts of data/information to discover and articulate trends and patterns

• Buildpredictive models and machine-learning algorithms

• Develop conclusive insights using statistical methods.

• Make and defend arguments using data and data-based insight.

• Explain solutions in a non-technical manner

• Mentor other team members

Required

• 3+ years of applied work experience in data science, machine learning, or a related field

• Hands-on experience processing and analyzing large datasets

• Proficiency with relational database (SQL) andprogramming/scripting(Python or R)

• Strong applied statistics skills, such as distributions, statistical testing, regression, etc.

• Knowledge of machine learning, statistical modelling, and predictive analytics

• Ability to tackle ambiguous and undefined problems

• Motivated and self-directed, demonstrated ability to innovate

• Ability to communicate and discuss complex topics with technical and non-technical audiences

Preferred

• Bachelor’s degree in Computer Science, Statistics, Data Analysis, Mathematics, or a related field

• Experience in information security or IT

• Experience with data engineering

• Experience with data visualization tools and dashboard development

Qualities of ideal candidate:

• Interested in exploring data and engaging with stakeholders

• Able to adapt to dynamic work environment and prioritize tasks accordingly

• Excellent problem-solving skills

• Strong attention to detail

• Resourceful and able to thrive in a dynamic environment

Develop & Maintain: Design and implement scalable data architectures and pipelines using best-in-class tools and technologies.

Optimize & Manage: Continuously improve and refactor existing solutions to enhance data flow efficiency and long-term sustainability.

: Work with multi-functional teams to understand business requirements and deliver tailored data solutions.

You Will Bring

• Strong understanding of data architecture, engineering principles, and key technologies such as SQL, Python, Git, DevOps, and medallion design.
• Hands-on experience with data transformation and provisioning systems, including Azure, Databricks, and SQL Server.
• Exposure to SAP, Power BI, or Microsoft Fabric (desirable but not essential).
• Degree in a relevant field or equivalent experience with a deep understanding of data design principles.
• Awareness of emerging data lake technologies, such as SAP Datasphere and Apache Iceberg.
• Experience working with consumer sales data (e.g., master data, sales, forecasting) is a plus.
• Strong communication skills, with the ability to convey technical concepts to both technical and non-technical customers.
• Strong documentation skills
• Experience in multinational organizations and multi-functional, multicultural environments.
• Fluency in English.

Your new office

Based at the Weybridge office, you will enjoy a vibrant and friendly working environment. We have an onsite canteen with a wide range of options available, and a barista style coffee shop. There is a well-provisioned onsite gym run by our own Sony Wellbeing Coordinator, with classes on set days in the mornings, at lunch and after work hours. We have a staff car park which includes electric charging points, an undercover and secure bike rack (useful if you’ve made the most of the Cycle-to-Work scheme), or if you will use public transport we have a shuttle bus service that regularly runs between train station and the office at peak times.

Take a look at our video tour of the Weybridge site here:

or by mail to: Sony Europe B.V, Human Resources Department, the Heights, Brooklands, Surrey, KT13 0XW, UK. When contacting us please indicate the position you are applying for, and the accommodation required.