Data Solution Designer
Listed on 2026-06-01
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IT/Tech
Data Engineer, Data Science Manager, AI Engineer
Job Title: Data Solution Designer
Job Type: Permanent
Hours: 40 hours per week – Full time
Are you looking to apply your expertise in data engineering and analytics to design scalable and enterprise‑grade data solutions?
We have an exciting opportunity for you – Data Solution Designer!
Careers at TCS:
It means more
TCS is a purpose‑led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
- Build scalable data platforms and advanced analytics solutions.
- Work within a collaborative and forward‑thinking data engineering environment.
- Support leading organisations as they transform their data and analytics capabilities.
As a Data Solution Designer, you will design and deliver end‑to‑end data science and advanced analytics solutions that translate complex business challenges into scalable, secure, and high‑performance data products. You will work across business, data engineering, and architecture teams to ensure solutions are production‑ready and aligned to enterprise standards.
Key Responsibilities- Designing end‑to‑end data science and analytics solutions, including data ingestion, feature engineering, model development, deployment, and monitoring.
- Defining logical and physical architectures for analytics platforms, machine learning pipelines, and AI products.
- Ensuring solutions are scalable, reusable, secure, and cost‑effective.
- Selecting appropriate machine learning and AI techniques such as regression, classification, NLP, forecasting, and clustering.
- Defining data models, schemas, data quality rules, and ETL or ELT pipelines in collaboration with data engineering teams.
- Designing feature stores, training datasets, and inference pipelines.
- Providing guidance on model selection, evaluation strategies, experiment tracking, and reproducibility.
- Designing MLOps frameworks including CI/CD pipelines, model versioning, governance, and monitoring for drift and performance.
- Defining standards for programming frameworks, deployment models, and cloud or on‑premise architectures.
- Ensuring compliance with data governance, security, regulatory, and risk management standards.
- Establishing best practices and reusable design patterns across data and AI solutions.
- Background in data science, machine learning, and advanced analytics solutions.
- Proficiency in Python, including libraries such as Num Py, Pandas, and scikit‑learn.
- Working knowledge of relational and No
SQL databases. - Familiarity with big data frameworks such as Spark, Hive, or Databricks.
- Understanding of MLOps practices, including model lifecycle management and CI/CD pipelines.
- Exposure to containerisation and deployment technologies such as Docker or Kubernetes.
- Ability to design and deploy solutions on cloud platforms such as AWS, Azure, or GCP.
- Familiarity with tools such as MLflow, Azure ML, Sage Maker, or Vertex AI.
- Solid analytical and problem‑solving capabilities.
- Ability to communicate complex technical concepts clearly to business stakeholders.
- Comfortable working within Agile or Scrum environments.
- Effective stakeholder engagement and collaboration skills.
- Experience with in the BFSI domain, including areas such as risk, fraud, AML, or customer analytics.
- Experience with regulatory data modelling and explainable AI approaches.
- Exposure to generative AI, large language models, or vector databases.
- Certifications in cloud or enterprise architecture frameworks such as TOGAF.
TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.
We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon.
Diversity, Inclusion and WellbeingTata…
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