General Information
Req # WD00088679
Career area: Data Management and Analytics
Country/Region: United Kingdom
State: Renfrewshire
City: Renfrew
Date: Tuesday, October 14, 2025
Working time: Full‑time
Additional Locations: United Kingdom - Renfrewshire - Renfrew
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full‑stack portfolio of AI‑enabled, AI‑ready, and AI‑optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world‑changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
Description and Requirements
This role is open for the Edinburgh, Scotland location only. Candidates must be based there, as the position requires working from the office at least three days per week (3:2 hybrid policy).
Lenovo AI Technology Center (LATC) – Lenovo’s global AI Center of Excellence – is driving our transformation into an AI‑first organization. We are assembling a world‑class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI. Lenovo is one of the world's leading computing companies, delivering products across the entire technology spectrum, spanning wearables, smartphones (Motorola), laptops (ThinkPad, Yoga), PCs, workstations, servers, and services/solutions. This unmatched breadth gives us a unique canvas for AI innovation, including the ability to rapidly deploy cutting‑edge foundation models and to enable flexible, hybrid‑cloud, and agentic computing across our full product portfolio. We are building the next wave of AI core technologies and platforms that leverage and evolve with the fast‑moving AI ecosystem, including novel model and agentic orchestration & collaboration across mobile, edge, and cloud resources. This space is evolving fast and so are we. If you’re ready to shape AI at a truly global scale, with products that touch every corner of life and work, there’s no better time to join us.
Lenovo is seeking a talented and motivated Data Engineer/Scientist to join our growing team. This role is critical to the success of our machine learning initiatives, focusing on the creation, quality control, and governance of the datasets that power our models. You will bridge the gap between raw data and model readiness, working closely with model developers to understand their needs and deliver high‑quality, reliable data. This is a hands‑on role requiring strong technical skills in data engineering, data analysis, and machine learning fundamentals. If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!
Responsibilities
* Data Creation & Annotation: Design, build, and implement processes for creating task‑specific training datasets, including data labeling, annotation, and augmentation techniques.
* Data Pipeline Development: Accelerate dataset creation and improvement using scripting, automation, and data labeling platforms.
* Data Quality & Evaluation: Perform thorough data analysis to assess quality, identify anomalies, and ensure data integrity, using ML tools to evaluate performance.
* Big Data Technologies: Process, transform, and store large datasets with SQL, NoSQL, Spark, Hadoop, and cloud warehouses like Snowflake, Redshift, and BigQuery.
* Data Governance & Lineage: Maintain data governance best practices, tracking lineage, documenting source tracking, and managing licenses while ensuring privacy compliance.
* Collaboration with Model Developers: Work closely with ML engineers and data scientists to understand requirements, provide clean datasets, and iterate based on feedback.
* Documentation: Create concise documentation for pipelines, quality checks, and governance procedures.
* Stay Current: Keep up‑to‑date with advancements in data engineering, ML, and governance.
Qualifications
* Education: Bachelor’s or Master’s in Computer Science, Engineering, Statistics, Mathematics, or related field.
* Experience: 8+ years in data engineering or data science.
* Programming Skills: Proficiency in Python and SQL; Java/Scala experience a plus.
* Database Skills: Strong relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) experience.
* Big Data Tools: Spark, Hadoop, or cloud warehouses (Snowflake, Redshift, BigQuery).
* Data Manipulation: Pandas, NumPy, and other processing libraries.
* ML Fundamentals: Data preprocessing, feature engineering, and model evaluation.
* Data Governance: Lineage, quality, and security principles.
* Communication: Excellent written and verbal skills; ability to explain complex concepts.
* Problem Solving: Strong analytical and analytical skills.
Bonus Points
* Experience with data labeling platforms (Labelbox, Scale AI, Amazon SageMaker Ground Truth).
* MLOps practices and tools (Kubeflow, MLflow).
* Cloud platforms (AWS, Azure, GCP).
* Data visualization tools (Tableau, Power BI).
* Orchestration tools (Airflow, Prefect).
What we offer
* Opportunities for career advancement and personal development.
* Access to a diverse range of training programs.
* Performance‑based rewards that celebrate achievements.
* Flexibility with a hybrid work model (3:2) that blends home and office life.
* Electric car salary sacrifice scheme.
* Life insurance.
Equal Opportunity Employer
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
AI Processing Notice
We use AI‑based tools to support some of our processes (e.g. online interview recordings and transcripts) to achieve better efficiency, accuracy, and documentation. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt‑out or contact us in case of any question.
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