Junior Associate - Data Scientist

Our Culture & Values: -

We’d describe our culture as human, friendly, engaging, supportive, agile, and super collaborative.

At Kainskep Solutions, our five values underpin everything we do; from how we work, to how we delight and deliver to our customers.

Our values are: -

#TeamMember #Ownership #Innovation #Challenge and #Colloboration

What makes a great team? A Diverse Team!

Don’t be put off if you don’t tick all boxes; we know from research that candidates may not apply if they don’t feel they are 100% there yet; the essential experience we need is the ability to engage clients and build strong, effective relationships. If you don’t tick the rest, we would still love to talk.

We’re committed to creating a diverse and inclusive.

What you’ll bring:

• Use programming languages like Python, R, and SQL for data manipulation, statistical analysis, and machine learning tasks.
• Apply fundamental statistical concepts such as mean, median, variance, probability distributions, and hypothesis testing to analyze data.
• Develop supervised and unsupervised machine learning models, including classification, regression, clustering, and dimensionality reduction techniques.
• Evaluate model performance using metrics such as accuracy, precision, recall, and F1-score, implementing cross-validation techniques to ensure reliability.
• Conduct data manipulation and visualization using libraries such as Pandas, Matplotlib, Seaborn, and ggplot2, implementing data cleaning techniques to handle missing values and outliers.
• Perform exploratory data analysis, feature engineering, and data mining tasks, including text mining, natural language processing (NLP), and web scraping.
• Familiarize yourself with big data technologies such as Apache Spark and Hadoop, understanding distributed computing concepts to handle large-scale datasets effectively.
• Manage relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) for data storage and retrieval.
• Use version control systems like Git and GitHub/GitLab for collaborative development, understanding branching, merging, and versioning workflows.
• Demonstrate basic knowledge of the software development lifecycle, Agile methodologies, algorithms, and data structures.

Requirements:

• Proficiency in programming languages such as Python, R, and SQL.
• Strong analytical skills and a passion for working with data.
• Proven experience with

  generative models

  like

  GPT, BERT, DALL·E, Midjourney, GANs, VAEs, etc.

• Proficiency in

  Python

  and deep learning frameworks such as

  TensorFlow, PyTorch, or JAX

  .
• Strong understanding of

  NLP, computer vision, and transformer architectures

  .
• Hands-on experience with

  Hugging Face Transformers, LangChain, OpenAI API, or similar tools

  .
• Prior experience with data analysis, machine learning, or related fields is a plus

  .

Good To Have:

• Experience in Computer Vision, including Image Processing and Video Processing.
• Familiarity with Generative AI techniques, such as Generative Adversarial Networks (GANs), and their applications in image, text, and other data generation tasks. Knowledge of Large Language Models (LLMs) is a plus.
• Experience with Microsoft AI technologies, including Azure AI Studio and Azure Copilot Studio.