Data Scientist IRC307997

GlobalLogic Latinoamérica; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work model

Private healthcare

Gym discounts

Annual volunteering day

Job summary

GlobalLogic is seeking a Data Scientist to direct design, development and productionization of an enterprise decisioning and optimization platform in London. You will own advanced causal modeling, uplift strategies, and campaign economics within a Databricks-based environment.

Role requires expert Python and SQL, production ML experience, and proficiency with Databricks tools such as Unity Catalog, Delta Lake and MLflow.

Qualifications

• Expert-level Python for end-to-end data science and production ML.
• Advanced SQL for querying complex datasets (customers, transactions, campaigns).
• Production ML on Databricks with notebooks, Delta Lake, and model registry.
• Proficient in Git workflows, CI/CD, unit testing, and reproducible deployments.
• Understanding uplift modeling and constrained optimization.

Responsibilities

• Lead design, experimentation, and deployment of customer decisioning and uplift models.
• Develop optimization models balancing campaign economics and budgets.
• Build production ML pipelines on Databricks with Unity Catalog and scheduled scoring.
• Enforce Git workflows, PR reviews, automated tests, and Azure DevOps releases.
• Implement end-to-end MLOps: monitoring, logging, drift detection, handover.
• Collaborate with engineers and stakeholders to translate economics into rules.

Skills

Python

SQL

PySpark

Databricks

ML in production

Git workflows

Azure DevOps

Unit testing

MLOps

uplift modeling

Tools

Databricks

Unity Catalog

Delta Lake

MLflow

Azure DevOps

Job description

Data Analytics/Warehousing & Business Intelligence

Experience

5-10 years

Location

United Kingdom - London

Skills

• Python & SQL: Advanced Python (PySpark, Data Science, Databricks, SQL

We are looking for a Data Scientist to direct the design, development, and operationalization of our enterprise customer decision-science and optimization platform. In this role, you will take ownership of advanced causal modeling, campaign recommendation engines, offer economics, and budget-constrained decisioning pipelines running in production.

Requirements

• You have expert‑level Python skills for end‑to‑end data science and production machine learning, from feature engineering to inference.
• You possess advanced SQL capabilities for querying complex customer, transaction, campaign, margin, and measurement datasets.
• You bring extensive hands‑on experience delivering production ML on Databricks, leveraging notebooks, modular code, Delta Lake, Unity Catalog, and the model registry.
• You demonstrate proven proficiency in professional software practices, including Git branching strategies, CI/CD with Azure DevOps, unit testing, and reproducible deployments.
• You have a deep understanding of uplift modeling, statistical matching, experimentation design, and operations research or constrained optimization.
• You ideally bring familiarity with interactive front ends (such as Databricks Apps or Streamlit), Databricks Asset Bundles, MLflow, and enterprise CRM platforms like Salesforce Marketing Cloud or Comarch.

Job responsibilities

• Lead the design, experimentation, and production deployment of customer decisioning, causal/uplift models, and recommendation algorithms.
• Develop mathematical optimization frameworks to balance campaign economics, margin constraints, and contact budgets across audiences.
• Build, deploy, and scale robust production ML pipelines on Databricks using Unity Catalog, automated workflows, and scheduled scoring jobs.
• Establish engineering rigor across the team through structured Git workflows, pull request reviews, automated testing, and controlled release cycles in Azure DevOps.
• Implement end‑to‑end MLOps standards, including configuration management, model monitoring, logging, drift detection, and operational handover.
• Partner with engineering and business stakeholders to design analytical decision‑support tools and translate complex campaign economics into operational rules.

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‑[e-mail] .

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.