Industries spanning finance, healthcare, e-commerce, and marketing are harnessing the power of data science to boost growth, efficiency, and innovation, making it a lucrative field to be in. As the demand for data scientists continues to soar, this may be the right time for those seeking a profitable career shift. So if you are a budding or a seasoned data scientist looking for a job change, we have got you covered.
JP Morgan & Chase
Role: Associate Sr – Data Science
JP Morgan & Chase is seeking individuals for the position of Associate Sr – Data Science who is passionate about converting data into valuable insights and empowering breakthroughs in business. They will analyse customer behaviours and predict financial needs to optimise sales performance and develop self-serve tools for real-time information and identify potential attrition events for effective counteraction.
Minimum Qualifications:
- Bachelor’s/Master’s Degree in quantitative analytics fields with over seven years of data science experience
- Proficient in SAS/Python programming, data wrangling, and complex SQL scripting
- Skilled in solving business problems with fact-based and scientific analytics
Preferred Qualifications:
- Familiarity with financial services, consulting, or marketing agency insights functions
- Experience in workforce analytics, sales performance analytics, or sales science organisation
- Expertise in big data disciplines, Agile methodologies, and new technologies
Click here to apply.
Read more: Data Science Hiring Process at Pepperfry
Bosch
Role: Data Scientist
As a data scientist in the Bosch global team, you’ll provide AI and ML solutions and collaborate with other departments, enhance existing cloud-based solutions, and explore new use cases.
Minimum Qualifications:
- The ideal candidate must have a bachelor’s or master’s degree in software engineering, computer science, mathematics, or a similar field.
- At least two years of experience in professional data science.
- The candidate must possess extensive knowledge of Python (with knowledge of R being a plus), as well as object-oriented programming languages with a strong emphasis on clean code. They must have a proven track record in areas such as ML, neural networks, pattern analysis, time series forecasting, data analysis, and data-pipeline technologies (e.g., Kubernetes, Docker, NoSQL databases, Workflow-Engine).
- A strong understanding of statistics is necessary, and knowledge of cloud technologies (ideally Microsoft Azure) and SQL would also be needed.
Click here to learn more about it.
PayPal
Role: Manager – Data Science
As a Manager -Decision Science, you will lead and develop a team of skilled decision scientists, providing them with daily guidance to ensure exceptional results and also oversee key metrics and make changes when necessary to improve performance.
Minimum Qualifications:
- Experience as either a manager or Lead Decision Scientist / Lead Data Scientist / Analytics roles
- The ideal candidates must have excellent analytical skills, including expertise in SQL and data visualisation.
- They should also have experience in leading cross-functional collaborations and managing relationships with multiple stakeholders.
- The ability to effectively lead a team and promote teamwork is also essential.
- The company recognises that some candidates may lack confidence due to imposter syndrome and encourages them to apply regardless.
Apply here.
LSEG (London Stock Exchange Group)
Role: Data Scientist
The role of a data scientist involves data handling, programming, and developing automated solutions for sourcing information. It includes analysing content, building models, and using machine learning to improve core processes. Collaboration with various teams is required to tackle large-scale analytics issues and create visualisations and pipeline tools.
Minimum Qualifications:
- Higher education in statistics, mathematics or engineering in computer science with data science certification.
- Proficiency in developing and delivering automation using Python and R. Additionally, they should be skilled in utilising one or more technologies such as VBA, SQL, JAVA, and RPA to drive improvements in business processes.
- Strong understanding of data science principles and have experience managing financial content.
- Adaptable to new technologies and can provide guidance to team members.
Preferred Qualifications:
- The desired skills for this role include data mining, data sourcing, NLP, unsupervised and deep learning, and predictive modelling.
- They should also be experienced in using AWS and other cloud-based tools that facilitate the onboarding of Python codes.
Check out their careers page now.
PwC
Role: Senior Manager – Data Science
The role involves collaborating with US-based consultants and clients, and working closely with the business analytics teams in India. The main responsibilities will include leading high-level analytics consulting projects and providing sound business advice to project teams.
Minimum Qualifications:
- The candidate should be experienced in managing and deploying ML models on cloud environments, with a strong understanding of supervised and unsupervised ML algorithms, statistics, and data analysis.
- The candidate also has extensive experience working with various ML frameworks and tools such as scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, and MLlib.
- They must have advanced-level programming skills in SQL and Python/Pyspark, which enables them to guide teams. In addition, the candidate is proficient in using visualisation tools such as Tableau, PowerBI, and AWS QuickSight to convey information to stakeholders.
Apply here.
Walmart Global Tech
Role: Senior Data Scientist
As a senior data scientist, you’ll solve complex problems by analysing terabytes of data using data science tools and techniques. You’ll also be involved in developing PoCs and presenting them to the product team, then work with ML and software engineering teams to deploy solutions as APIs or pipelines. You’ll stay updated with the latest tech and mentor junior associates in providing robust data science solutions.
Minimum Qualifications:
The candidate either needs to have a bachelor’s degree in a related field such as statistics, economics, analytics, mathematics, computer science, or information technology, along with at least three years of experience in an analytics-related field or have a master’s degree in one of the mentioned fields with at least one year of experience in an analytics-related field or have a minimum of five years of experience in an analytics or related field.
Click here to apply.
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