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BT Data Science Analyst in Gurugram, India

Our mission is to break down the barriers of today to release the potential of tomorrow. Join us today and release yours.

Why this role matters

This role exists to help BT in identifying and executing key AI and ML use-cases, successfully delivering data-driven value-add benefits to GBA, GBS and to our CFUs.

What you'll be doing

  • Apply advanced analytics techniques to solve complex business problems for internal customers in BT

  • Data mining , machine learning and statistical analyses ; building high quality prediction and recommendation systems to be integrated with our products

  • Discover information hidden in large and complex datasets to garner insights and influence business decisions

  • Identify and develop use-cases and work with the Data Science Lead to bring them to maturity

  • Enable experiments and models by extracting data from multiple sources and aggregating into consumption-ready feeds

  • Suggest the correct variables to be used for analyses, being aware of the data architecture and dictionary to recommend efficient use of data

  • Work with technology teams to test, monitor and productionise Data Science solutions

  • Find right answers around data infrastructure –identifying and recommending the right hardware, security layers, etc.

Connected Leaders Behaviours

  • Change Agent

  • Commercial Thinker

  • Solution focussed achiever

Key Decisions

  • Process optimisation

  • Correct solutions for the given situation and not force-fitting of data science modelsDevelopment and In Life operations approach to deliver Assurance/Analytics & Insight requirements

We'll also need to see these on your CV

  • Advanced Analytics and Data Science: Experience in supervised and unsupervised ML models , including but not limiting to KNN, DBSCAN, Naïve Bayes, SVM, SVD, Decision Trees, Bagging and Boosting Algorithms, Liner and Logistic regression and its variants. Deep learning is a plus.

  • Tools like R / Python / Julia / D3.js

  • Evidence of having led/worked on multimillion-pound analytics projects

  • Critical thinking & Problem Solving: Ability to break-down complex business problems into data science projects and work with unstructured information, environment and data. Strong analytical skills to collect and analyse information efficiently to solve the problem drawing upon key skills such as attention to detail, critical thinking ability, decision making, and researching skills.

  • Business acumen: Knowledgeable in business strategy and the drivers of organisational performance, including people drivers of performance and financial literacy (e.g. business KPIs, business cases)

  • Ability to work well under pressure

  • Communication & Presentation: Eloquent and confident communication skills to deliver clear and concise message to the audience, drawing on impactful presentation techniques.

  • Creativity & Innovation: Creative thinking and continuous innovation benefitting the customers with the ability to turn those ideas and goals into tangible results.

  • Education: Master’s Degree Preferred. Bachelor’s Degree in Computer Engineering, Statistics or related field required.


  • Mandatory :

  • Significant experience with research, consulting or product-development teams , delivering solutions and insights using advanced and predictive analytics, resulting in measurable outcomes for business and customers.

  • Evidence and ability to deliver multimillion-pound transformative business value add through cost optimization, additional revenue generation, or both.

  • Experience with common data science toolkits such as R, Python, Weka, Scikit-Learn, NumPy, SciPy, Pandas, etc. Excellence in at least one of these is highly desirable

  • Ability to assess cost and benefits of the proposed solutions and prioritize ones which could drive business growth or optimization.

  • An analytics translator who can bridge the gap between technical and operational managers.

  • Good applied statistics skills , such as distributions, statistical testing, regression, etc.

  • Experience with data visualisation tools, such as Qlik, Tableau, ggplot, etc . Preferred :

  • Suitable experiencein data engineering , ETL andsoftware development

  • Experience with Deep learning and NeuralNetworks ( PyTorch, Keras, TensorFlow,NLP, computer vision, etc.)

  • Good understandingof data warehouse principles along with knowledge of industrybest-practices.

  • Knowledge of hardware, storage and dataprocessing at scale

  • Technical background within the Telecom industry

  • Expertise in understanding data governancepolicies and EUGDPR privacy regulations to ensure GBS remains compliant.

Why choose us?

We value different perspectives, skills and experiences. We’re creating an inclusive working culture where people from all backgrounds can succeed. That’s why we welcome applications from all parts of the community.

Any Graduate

Job: Service Client Relationship/ Account Management

Title: Data Science Analyst

Location: India-India-Gurugram-Gurugram

Requisition ID: 131585

Other Locations: India-India-Kolkata-Kolkata