Data Scientist

Pune, India

Applications have closed

Avaloq

Partner with a premium cloud banking software and service provider. Increase your efficiency and improve client experience.

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Company Description

Writing the future. Together. 

Avaloq is a value driven, fast-paced financial technology and services company and we are committed to developing the banking solutions of tomorrow. 

By joining Avaloq, you’ll become a key part of our effort to power the digital transformation of the financial services industry. Our ambition is big and bold – to provide full end-to-end digital solutions by combining our leading efficiency with a flexible, responsible digital user experience. Headquartered in Zurich, Avaloq has over 2,000 employees globally. More information is available at www.avaloq.com  

Job Description

Your team

In our Domain, we are responsible for collecting large amount of data, their analysis and interpretation, creating dashboard and cockpit development, procedure and modeling using machine learnings . We are responsible for quality and reliability of  data using latest tools and technologies 

Your mission:

  • Design, implement and manage ML based solutions using state of the art models  and deploy them using Kubernetes and DevOps best practices 
  • Produce high quality, maintainable and efficient code and write documentation of implementation 
  • Portal & dashboard creation using low code platform 
  • Correlate event & app logs & trace and analyze them using ML & AI 
  • Prevent incidence by proactive solutioning 
  • Ensure code adheres to security standards

Qualifications

Which skills should you bring to the pitch:

  • University Degree. in a scientific discipline such as mathematics, data science, IT or physics. Ideally, you also hold a master’s degree.
  • Proficiency. Minimum 2 years of experience in Business Intelligence or data analytics. Preferably 3+ years of work experience.
  • Programming Skills. You are an experienced user of Python or Go  and gained experience in Machine Learning.
  • Tools. Proficient with dashboarding tools such as QlikSense, Domo, Tableau, or other enterprise tools.
  • Technical background. Solid technical background with a complete understanding of database design and modelling using Redshift, MySQL, SQL Server, or other relational databases.
  • Analytical Thinker. Passion for analytics and strong analytical abilities.
  • Teamwork. Experience in working closely with a data team or an analytics team.

Who we’re looking for:

  • Agile Mindset. This is about learning and adapting, continuously improving what we do to deliver a valuable product to our customers. You collaborate and communicate leading to team success.
  • Team player. We love learning from each other, great ideas are shaped and inspired by other ideas in order to achieve the simplest, smartest and safest solution.
  • Innovative. We create space for ideas and love to use the newest technologies. To be cutting edge, we need to stay on top and deliver an amazing digital experience.

What you need:

  • University or higher education degree in computer science or engineering or similar.
  • At least 5 years of experiences with Python or Go , RESTful API building
  • Deep knowledge in Data Structure and algorithms
  • Programing experience in structured & non structured data  
  • Cloud native development with containerization 
  • At least 5 years of relevant work experience 
  • Using and deploying ML models in any cloud (AWS / Azure / GCP  )
  • Python and ML frameworks such as TensorFlow, PyTorch etc.  
  • Streaming platforms and message queues (e.g. Kafka) 
  • Microservices, REST APIs, Docker, Kubernetes, OpenShift 
  • SQL, Oracle, Postgres 
  • Elasticsearch, OpenSearch  
  • Solid understanding of software engineering principles and best practices 
  • Effective communication and collaboration skills 
  • Natural Language Processing (NLP) 

Added advantage for 

  • Git, Gradle and Jenkins CICD toolchains
  • Deep learning and predictive analytics 
  • Backend development skills in Java   

Additional Information

    What you can expect:


    It’s all about getting to know our teams and to e-meet with us. We will use video interviews to give you the opportunity to meet your future colleagues and get a first insight into Avaloq’s unique culture.

    What we will offer you

    We have a hybrid work week model, giving colleagues flexibility in how they work, as well as ensuring we create our unique Avaloq culture in our office locations. Our base salaries are competitive and you can be recognised for outstanding effort with an extraordinary achievement reward – the pinnacle of recognition. Avaloq aims to share its success with all its colleagues by paying out “Success Share Units” depending on its performance in a given year.

    At Avaloq we embrace diversity, we embrace difference. We are whole-heartedly committed to equal employment opportunities and we foster an inclusive culture where everyone’s' contributions are valued and their voices are listened to. We hire, compensate and promote regardless of origin, age, sexual orientation, gender identity or any other fascinating characteristics that make us different. Please note that our job descriptions are intended to be written in an inclusive and gender neutral language.


    Don’t be shy – apply!

    Please only apply online, preferably with pdf documents.

    Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.

    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

    Tags: Agile APIs AWS Azure Banking Business Intelligence Computer Science Data Analytics Deep Learning DevOps Docker Elasticsearch Engineering GCP Git Java Kafka Kubernetes Machine Learning Mathematics Microservices ML models MySQL NLP OpenSearch Oracle Physics PostgreSQL Python PyTorch RDBMS Redshift Security SQL Streaming Tableau TensorFlow

    Perks/benefits: Career development Competitive pay Flex hours

    Region: Asia/Pacific
    Country: India
    Job stats:  145  30  0
    Category: Data Science Jobs

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