At a Glance
- Tasks: Lead the design of advanced data systems and machine learning platforms.
- Company: Join GlobalLogic, a leader in digital engineering and innovation.
- Benefits: Enjoy health plans, gym discounts, volunteering days, and a competitive pension scheme.
- Other info: Flexible hybrid working options and a vibrant, inclusive culture.
- Why this job: Make a real impact by shaping customer identity architecture with cutting-edge tech.
- Qualifications: 5-10 years in data science, MLOps, and enterprise data management.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a Senior Data Scientist/Engineer to spearhead the evolution of our customer identity architecture and machine learning platform. In this role, you will design advanced entity resolution systems, implement intelligent matching models, and build the foundational data spine that powers our customer master records.
Requirements
- You have deep technical expertise in record linkage, fuzzy matching, graph algorithms, and machine learning techniques for entity resolution.
- You bring hands‑on experience building, operationalizing, and maintaining enterprise Master Data Management (MDM) or Customer 360 platforms.
- You are proficient in modern MLOps practices, including model deployment pipelines, feature stores, and automated model monitoring.
- You know how to define and track objective data quality standards, matching‑confidence scores, and drift metrics in complex data landscapes.
- You ideally bring experience designing governed identity hierarchies and integrating resolved entities into centralized Golden Record layers.
Job responsibilities
- Design and scale a reusable entity‑resolution framework that combines deterministic rules, fuzzy matching, and machine learning.
- Build and refine our core customer‑spine architecture and governed identity hierarchies to eliminate identity drift across source systems.
- Develop, deploy, and monitor probabilistic and model‑based matching algorithms where standard business rules fall short.
- Establish rigorous matching‑quality metrics, evaluation benchmarks, and continuous feedback loops to ensure high precision and recall.
- Seamlessly integrate resolved customer identities and Golden Layer records into enterprise data platforms and operational systems.
- Manage end‑to‑end MLOps workflows, pipeline orchestration, and feature stores to support scalable, production‑grade identity models.
What we offer
Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs.
You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day – so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more.
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long‑term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy.
We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact uki-careers@globallogic.com.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward‑thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
Senior Data Scientist/Engineer IRC307996 employer: GlobalLogic Latinoamérica
GlobalLogic Latinoamérica provides an exciting work environment with opportunities for professional growth in data analytics and engineering. Employees are encouraged to engage in innovative projects that utilize the latest technologies. The company's commitment to collaboration and inclusivity makes it an attractive employer for tech professionals.
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