Data Scientist - Financial Analytics

Our client is an innovation focussed financial analytics and business intelligence firm. It specialises in democratising data science and machine learning in corporate analytics.

Founded in 2018 by a team with IIT/ IIM background, this Mumbai based startup has helped solve some of the most complex business problems by leveraging big data, cloud computing and AI/ ML. It has successfully partnered with Fortune 1000 businesses worldwide, particularly in the CPG and automotive sectors.

After establishing its base in India and the UK, it has recently started its operations in Singapore. It has already helped over 50 clients globally, with its business impact reaching more than $2 billion.

As a Data Scientist, you will be responsible for analysing large amounts of data to derive actionable insights.

What you will do:

- Collaborating and influencing senior leaders, business partners across time zones

- Working with a global team and demonstrating a strong sense of ownership

Desired Candidate Profile :

What you need to have:

- Degree in statistics, mathematics, operations research, economics, engineering or information science

- 3+ years in an analytics role, preferably with direct experience in big data solutions & approaches

- SME in statistics, analytics, big data, data science, machine learning, deep learning, cloud, mobile, and full stack technologies

- Database background (SQL, Hadoop, Apache Spark or other Big Data platforms) will be a distinct advantage

- Broad Machine Learning experience - Algorithm Evaluation, Preparation, Analysis, Modelling and Execution

- Working knowledge on traditional statistical model building( Example: Regression, Classification, Time series, Segmentation etc.), machine learning( Random forest, Boosting algos, SVM, KNN etc), deep learning(CNN,RNN,LSTM,Transfer learning) and NLP( Stemming, Lemitization,Named entity extraction, Latent semantic analysis etc)

- Hands on experience in Python & R with good proficiency level

- Experience in building analytical/data science solution proposals

- Good communication skills and partnerships with technology, product strategy, and data office

- A strong portfolio of GitHub, Kaggle, IP contributions