Senior Consultant Data Science
- Arcadis
- 3 - 6 years
- Hyderabad
- 2 months ago
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Job Description
Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assetsWe are more than 36,000 people, in over 70 countries, dedicated to improving quality of life
Everyone has an important role to play
With the power of many curious minds, together we can solve the worlds most complex challenges and deliver more impact together
Qualification & Experience:
Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies
Technical Responsibilities
Excellent proficiency in Python, with a strong focus on developing advanced skills
Extensive exposure to NLP and image processing concepts
Proficient in version control systems like Git
In-depth understanding of Azure deployments
Expertise in OCR, ML model training, and transfer learning
Experience working with unstructured data formats such as PDFs, DOCX, and images
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Strong familiarity with data science best practices and the ML lifecycle
Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks
Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery
Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark
Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies
Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP
Data Analysis: Executing complex analyses against business requirements using appropriate tools and technologies
Software Development: Leading the development of reusable, version-controlled code under minimal supervision
Big Data Processing: Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks
Principal Duties & Key Responsibilities:
Leading data extraction from multiple sources, including PDFs, images, databases, and APIs
Driving optical character recognition (OCR) processes to digitize data from images
Applying advanced natural language processing (NLP) techniques to understand complex data
Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance
Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services
Collaborating closely with business domain experts to identify and drive key business value drivers
Documenting model design choices, algorithm selection processes, and dependencies
Effectively collaborating in cross-functional teams within the CoE and across the organization
Proactively seeking opportunities to contribute beyond assigned tasks
Required Competencies:
Exceptional communication and interpersonal skills
Proficiency in Microsoft Office 365 applications
Ability to work independently, demonstrate initiative, and provide strategic guidance
Strong networking, communication, and people skills
Outstanding organizational skills with the ability to work independently and as part of a team
Excellent technical writing skills
Effective problem-solving abilities
Flexibility and adaptability to work flexible hours as required
Key competencies / Values:
Client Focus: Tailoring skills and understanding client needs to deliver exceptional results
Excellence: Striving for excellence defined by clients, delivering high-quality work
Trust: Building and retaining trust with clients, colleagues, and partners
Teamwork: Collaborating effectively to achieve collective success
Responsibility: Taking ownership of performance and safety, ensuring accountability
People: Creating an inclusive environment
Why Arcadis
We can only achieve our goals when everyone is empowered to be their best
We believe everyone's contribution matters
Its why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together
Youll do meaningful work, and no matter what role, youll be helping to deliver sustainable solutions for a more prosperous planet
Make your mark, on your career, your colleagues, your clients, your life and the world around you
Together, we can create a lasting legacy
Join Arcadis
Create a Legacy
Our Commitment to Equality, Diversity, Inclusion & Belonging
We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities
Our ambition is to be an employer of choice and provide a great place to work for all our people
We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply
We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity
Job Classification
Industry: Engineering & ConstructionFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: ArcadisLocation(s): Hyderabad+ View Contact
Keyskills: python git natural language processing data science version control ocr etl process
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