Data Scientist
Job details
If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 with the subject line: “Application Support Request”. Role: Data Scientist Job Type: Permanent Location: UK (Stevenage/London - Hybrid) Number of hours: 40 hours per week – full time (standard) Ready to use your skills in Data Mining? Do you have experience with building, testing, and deploying recommendation engines? We have an exciting role for you to work as a Data Scientist. 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.
- Be part of an exciting team where you will be challenged every day.
- Build strong relationships with a diverse range of stakeholders.
- Gain access to endless learning opportunities.
- Data mining or extracting usable data from valuable data sources.
- Using machine learning deep leaning tools to select features, create and optimize classifiers.
- Carrying out the preprocessing of structured and unstructured data.
- Enhancing data collection procedures to include all relevant information for developing analytic systems.
- Processing, cleansing, and validating the integrity of data to be used for analysis.
- Analyzing large amounts of information to find patterns and solutions.
- Developing prediction systems and machine learning algorithms
- Presenting results in a clear manner.
- Propose solutions and strategies to tackle business challenges.
- Must have experience in building, testing, and deploying recommendation engines: collaborative filtering, hybrid approaches combining item/product similarity via Knowledge Graph, or similar methods.
- Must have experience in building AI/ML models: supervised (e.g., regression, classification), unsupervised (e.g., clustering, dimensionality reduction), reinforcement learning, deep learning, and NLP.
- Must have statistical/mathematical modelling expertise.
- Must have experience with ML Ops: deployment, automation, and streamlining of ML models.
- Must possess strong communication skills and domain knowledge in user behavior.
- Must have experience with Azure platform and tool stacks like Databricks, ADF, ADLS. Nice to have knowledge on Knowledge graph, Neo4j/property graph.
- Must have Generative AI experience.
- Must have experience in Data Engineering.
- Nice to have knowledge on Knowledge graph, Neo4j/property graph
- Nice to have knowledge in Azure ML, AI Search, OpenAI, LangChain.
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