Data Science Consultant

Key Skills

Agile methodologies, Apache Hadoop, Apache Kafka, Azure, Data science techniques, Natural Language Processing (NLP), PySpark, Python Programming, R Programming, SPARK Programming, SQL, Tableau

Job Description

ProCogia has experienced considerable growth over the last two years & core to our culture is maintaining a high-level of gender equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.

Our Mission

We enable our customers to make intelligent and agile decisions through strategically tailored data solutions. We attract, develop and retain diverse, motivated and collaborative team players who love what they do. 

Our Values

TRUST We build trust in all of our relationships, internally and externally

GROWTH We believe in life-long learning; both personally and professionally

INNOVATION Our technology-agnostic & innovative approach enables cutting-edge data solutions

EXCELLENCE We are committed to delivering excellence in everything we do

ProCogia Overview

At ProCogia we’re passionate about developing data-driven solutions that provide highly informed answers to our clients’ most critical challenges. Our projects are varied, from Data Warehouse builds, deploying Cloud Data Solutions, Dashboarding, & building predictive models.

We work with industry leading clients from various sectors including Pharmaceuticals, Telecommunications, Technology, Financial Services & Retail. Our work environment ensures opportunities to gain valuable experience in various industries enhancing your personal & career development. 

ProCogia has doubled in size over the last two years & core to ProCogia’s culture is ensuring we maintain a balanced gender ratio. Our diversity, and differences allow us to create innovative and effective solutions for our clients. 

Job Description

The Senior Data Science Consultant has the following responsibilities and duties: 

• Maintain client and partner relationships and demonstrate a deep understanding of handling Data Science/Advanced Analytics projects to ensure successful engagements.
• Contribute to internal meetings and process improvement projects to drive operational efficiency.
• Develop and deploy ML models in a production environment.
• Create and support business presentations based on analytic and reporting findings.
• Effectively communicate with all levels of the client team to support analytic knowledge, issues, and questions.
• Analyze big data to support device technology development, network planning and customer experience optimization.
• Stay abreast of industry technology innovations, new business practices, and third-party technology solutions.

Requirements 

As a Senior Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models at our company, you'll be a key player in shaping and refining our data-driven AI products. We're looking for an individual with a deep understanding of the latest trends in NLP, large language models, and transformer architectures. Experience with generative AI is a considerable advantage.

The Senior Data Science Consultant should have the following skills, education and experience: 

Skills

Required:

• Experience developing, implementing, and optimizing cutting-edge NLP algorithms and large language models to drive valuable insights and improve our products.
• Hands-on experience using transformer-based models (BERT, GPT, T5, etc.) to solve complex business problems.
• Demonstrated success in managing the execution of multiple analytic initiatives simultaneously.
• Hands-on analytic skills to include data manipulation and extraction (Strong SQL, R and/or Python skills).
• Experience designing data science workflows, reports and advanced visualizations using various tools like Python, SQL, Power BI and Tableau.
• Familiar with Azure tools and technologies.
• Actively stay up-to-date with industry trends and advancements in data science, NLP, and AI.
• 4-5 years working as part of a technical team.

Preferred:

• Familiarity or experience with generative AI models.
• Experience delivering products using Agile methodologies.
• Experience with Big Data Technologies (Hadoop, Kafka, etc).
• Experience handling complex data sources or streaming data in Spark (Spark, PySpark, SparkR, etc).
• Experience delivering products with Agile methodologies.
• Azure certifications a plus.

Education

Required:

• Bachelors in a quantitative field such as statistics, mathematics, engineering, computer science or other related disciplines

Preferred:

• Masters or PhD in a quantitative field such as statistics, mathematics, engineering, computer science or other related disciplines 

Experience:

• An experienced professional will have at least 5 years of professional experience in a data related role with a Masters Degree or 6 years of experience in a data related role with a Bachelors degree