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Fidelity International

Marketing Data Scientist / Engineer

location icon Gurgaon Office
Full Time

About the Opportunity

Job Type: Permanent

Application Deadline: 31 December 2023

Title                 Marketing Data Scientist / Engineer

Department      UK Marketing

Location          India, Gurgaon

Reports To       Senior Manager Marketing Data and Insight

Level                Manager - 5

We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Data Innovation team and feel like you’re part of something bigger.

About your team

The team provides a range of solutions for the UK Marketing team.  Through big data, machine learning and other innovative tools and data science techniques, drive complex multi-dimensional reporting and predictive modelling - supporting both campaign briefs and insights with increased automation and speed of delivery focusing on how we get the most out of snowflake.

About your role

There are two roles that we are recruiting for, 1. Data Scientist 2. Data Engineer.  The roles would primarily focus on the relevant remits, however, the roles are hybrid in nature and require candidates to perform other insights and analysis tasks when required.   

Data Scientist

  • Use machine learning tools and statistical techniques to produce solutions to problems
  • Use advances in data science to create forecasting and propensity models to predict the future behaviour of our customers
  • Test data mining models to select the most appropriate ones for use on a project
  • Working closely with the Data Engineer, Data Scientists, Data Architects and Internal stakeholders to drive the data science projects
  • Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance
  • Increase our understanding of our customer bases by ensuring we have greater transparency on our customer base, their demographics and behaviours
  • Support or drive marketing and technology initiatives
  • Actively develop new cloud-productionised prediction models with outputs
  • Manage dashboards and output of models effectively to drive customer insight and campaign targeting

Data Engineer

  • Evaluate business needs and objectives and build data systems and ETL pipelines to support them
  • Combine raw data from different sources like traditional warehouses and big data solutions to support automation, insight requests and faster-paced decision-making
  • Explore ways to enhance data quality and reliability
  • Use your knowledge of different coding languages to query our different data sources to provide new marketing insights
  • Increase our understanding of our customer bases by ensuring we have greater transparency on our customer base, their demographics and behaviours
  • Manage our new Big Data warehouse to provide clean data for business users
  • Actively drive our data migration to cloud strategy

About you

Data Scientist

  • Technical expertise in data models, data mining, and segmentation techniques
  • Proficiency in designing algorithms and using statistical and problem-structuring methods
  • Ability to use linear and non-linear regression, logistic regression, models and classification techniques for data analysis, clustering, dimensionality reduction, k-NN and pipeline

Data Engineer

  • Strong experience in using different languages like SQL to extract raw data from multiple sources
  • Experience with cloud platforms and underlying services e.g. AWS, Microsoft Azure, Google Cloud.
  • Experience with data warehousing tools or other SQL-operated databases e.g. Snowflake, Athena, SQL databases

Commons skills

  • Strong experience in using visualisation tools for large-scale data dashboarding e.g. Power BI, Tableau
  • Strong experience using Python and its libraries specialising in Data Science and Data Engineering capabilities e.g. Pandas, Sklearn, pyspark, matplotlib etc.

Feel rewarded

For starters, we’ll offer you a comprehensive benefits package. We’ll value your well-being and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit

For more about our work, our approach to dynamic working and how you could build your future here, visit

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Publication date: 2023-11-22
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