Senior Data Scientist Job at Amgen (Hyderabad)

Senior Data Scientist

Our Client is Europe’s leading health, sport, and leisure group. The organizatio...

Location

Ukraine; United Kingdom

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science
Experience with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API)
Advanced level of English

Job Responsibility

Lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem for iOS and Android
Ensure scalability, security, and a high-quality user experience in production-ready conversational solutions
Design and optimize conversational flows, personalization features, and integration with client documentation systems
Collaborate with client stakeholders (Product Owners, Digital Director, consultants) to align chatbot strategy with business goals
Mentor and guide junior data scientists within the team
Work closely with cross-functional colleagues (Backend, Mobile, QA, BA, DevOps) in an Agile/Kanban delivery model

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Senior Data Scientist

As a Senior Data Scientist – Offer, you’ll play a key role in transforming how w...

Location

France , Aix-en-Provence

Salary:

Not provided

Voyage PrivÃ©

Expiration Date

Until further notice

Requirements

Master’s degree in Machine Learning or Data Science, with strong foundations in mathematics, statistics, and computer science
7+ years of experience as a Data Scientist or ML Engineer, ideally in a digital/tech environment
Strong expertise in Python and SQL, version control (GitLab/GitHub), and deploying ML models at scale
Advanced experience with cloud platforms (GCP preferred) and A/B testing frameworks
Excellent communication skills and ability to synthesize complex topics for diverse stakeholders
Autonomous, proactive, and eager to innovate and challenge existing approaches
Communicate well in English and French

Job Responsibility

Act as the go-to expert for AI within the “Offer” domain, understanding key business challenges and proposing new opportunities
Conduct research on cutting-edge algorithms, benchmark them, and apply the most suitable approaches to real-world use cases
Design and deploy at scale high-impact forecasting models to anticipate market demand and optimize supplier negotiations
Collaborate with Data Analysts to run and monitor A/B tests, enabling rapid iteration on new high-value features
Ensure models are accessible and reliable by embedding them into web applications and monitoring real-time performance
Contribute as a technical bar-raiser: uphold coding best practices, lead major code reviews, and introduce new workflows or tools
Strengthen team visibility through blog posts, demos, and participation in meetups or open-source projects

What we offer

Access our large on-site fitness center morning, noon, and night
Private padel court
Company Breaks, Carnival, Annual Convention, meetups and talks
Free tickets to every Provence Rugby home match and live music nights at the Dalida Institute
Up to 20% off our exclusive getaway offers
4 fully remote weeks per year

Fulltime

Senior Data Scientist

Location

India , Bengaluru

Salary:

Not provided

ADM

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. Master’s degree or Ph.D. is a plus
7+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes
Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development
Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc
Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark)
Strong understanding of both supervised and unsupervised learning models and techniques
Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs
Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value
Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment

Job Responsibility

Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives
Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes
Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc
Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions
Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration
Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems
Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems
Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks
Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact
Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives

Senior Data Scientist

Join Our Expert Team. We are seeking a skilled Senior Data Scientist to join our...

Location

Austria , Vienna

Salary:

Not provided

Arsenalia

Expiration Date

Until further notice

Requirements

Minimum 3 years of experience as a Data Scientist or in a similar role
Strong skills in programming languages such as Python
Experience in developing and optimizing machine learning models
Knowledge of prompt engineering techniques for natural language models
Ability to analyze large datasets and extract valuable insights
Team-oriented mindset and effective communication with clients
Curiosity and interest in emerging technologies
Good command of English (B2 level)
Flexibility in adapting to new contexts and diverse projects
Availability for short- and medium-term business travel

Job Responsibility

Design and optimize predictive models, machine learning and deep learning algorithms
Collaborate with clients to define needs and deliver data-driven solutions
Implement data-based solutions with Azure Databricks, Microsoft Fabric, and Azure Machine Learning
Contribute to R&D initiatives to advance analytical techniques
Create reports and visualizations to communicate insights effectively
Analyze large datasets to extract valuable information
Use Microsoft tools like SQL Server and Azure SQL Database for data management and analysis
Develop and refine prompts for LLMs/SLMs to enhance AI solution performance
Extract insights from big data using Azure Data Lake and Azure Synapse Analytics
Grow in a dynamic, collaborative environment with skilled and motivated teammates

What we offer

Welfare Package
Worklife Kit
Empowering People
Open Space, Open Mind
Career Path
Learning & Development

Senior Data Scientist

At Zenjob, you’ll work on data products that actually ship and shape how thousan...

Location

Germany , Berlin

Salary:

Not provided

FoodLabs & Atlantic Labs

Expiration Date

Until further notice

Requirements

4+ years of applied Data Science experience, ideally in marketplaces or other matching-heavy environments
A curious, proactive, impact-driven mindset with strong business acumen
Enjoy working in environments where things move fast, priorities evolve, and iteration happens quickly
Solid ML expertise in scoring, ranking, and optimization techniques used in matching and allocation systems
Experience building forecasting models using time-series and probabilistic approaches
Strong experimentation skills, including A/B testing and quasi-experimental methods, with the ability to interpret results clearly
Proficiency in SQL and Python with the ability to move from exploration to production
Clear communication and strong product thinking, able to influence decisions and define success metrics

Job Responsibility

Shape product decisions: Data should guide decisions from the start. You will proactively explore our data to identify product opportunities, inefficiencies, and growth levers. You’ll translate complex findings into actionable insights that help PMs and business leaders prioritize what truly matters
Forecast marketplace dynamics: Strong forecasting prevents shortages and overbooking. You will model supply and demand patterns using robust time-series and probabilistic methods that support planning and operational decisions
Improve matching efficiency: Better matching means higher fill rates, happier customers, and less manual work. You will build and refine ranking and allocation models so the right talent reaches the right job quickly and reliably, whether through ML or other data-driven methods
Experiment with confidence: Good experiments beat guesses. You will design and run end-to-end experiments using methods suited for a two-sided marketplace (A/B, quasi-experimental approaches, switchbacks, holdouts) and interpret results with clarity
Ship models that matter: Models only matter when users benefit from them. You will own the process of turning analyses or models into production, working with engineering on monitoring, fallback strategies, and safe rollouts

What we offer

28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days)
1 day of special leave for community service
5 days of paid educational leave
Possibility of unpaid leave
Hybrid working model
Dog-friendly office
Annual training budget of EUR 750
Mentoring opportunities
Constant career development conversations
30 EUR Urban Sports Club grant per month

Senior Data Scientist

Join Atlassian's Data Science team to collaborate with Product Managers, Researc...

Location

United States , San Francisco

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science or related fields
proficiency in SQL and another data manipulation programming language (e.g. Python, R)
expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
ability to craft analysis into well-written and persuasive content

Job Responsibility

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
partner with cross-functional teams to inform, influence, and execute strategy decisions
identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian

What we offer

Health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Scientist

This role has been designed as ‘Onsite’ with an expectation that you will primar...

Location

Israel , Ra'anana

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree preferred or Associate degree holder (technical field) with 5-7 years working experience in related fields desired
Thorough knowledge of company products and services offerings, company organization, competition, third party products and market trends
Broad knowledge of corporate organization, job, and policies
Comprehensive business, technical or functional knowledge at an expert level
Communicate tactfully with diplomacy up to senior management levels within an organization
Active listening skills and ability to adjust messages to audience level
Problem-solving skills (proactive, reactive and creative)
Able to employ exemplary consulting skills by becoming a trusted advisor to the customer and providing clarity to solution determination
Well versed in core technical competencies and peaked in some technical area(s) intermediate skills in project management, communication, analysis and presentation
Provide suggestions for operational efficiencies

Job Responsibility

Apply advanced technical knowledge to operate one or more technology areas (e.g. server administration, technical security management, performance management) or customer groups that are critical or high-risk
Integrate technical knowledge and business understanding to create solutions for customers
Resolve single- and cross- technology incidents independently
Work with team members to resolve unusually complex or cross- technology incidents
Proactively and reactively look for solutions to prevent problems from occurring in team/technology area
Apply company solutions to meet highly complex customer needs
Identify additional services that could lead to future service revenue growth
Provide technical consulting during contract renewal discussions
Build and maintain strong relationship up to senior management level in assigned accounts
Design and deliver support solutions using specific industry knowledge and expertise

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Data Scientist

Senior Data Scientist role in the Technology Enablement Office, playing a pivota...

Location

Greece , Athens

Salary:

Not provided

Metlen Group

Expiration Date

Until further notice

Requirements

5+ years of experience in data science with a strong focus on predictive modeling
Bachelor in Computer Science, Data Science, Statistics, or a related field
Master's or PhD degree is a plus
Proven expertise in designing, deploying, and evaluating machine learning models
Solid background in feature engineering, model selection, hyperparameter tuning, and performance evaluation
Strong programming skills in Python, R, or similar languages
Experience with ML frameworks and understanding of Gen-AI technologies
Hands-on experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch

Job Responsibility

Community Building: Establish and nurture a strong internal data science community across METLEN sectors
Model Evaluation: Assess and validate AI/ML models developed internally or by external vendors
Technology Scouting: Stay updated on the latest AI and Gen-AI advancements and recommend innovative technologies
Cross-functional Collaboration: Partner with business units, IT teams, and external stakeholders to translate complex data challenges into actionable insights
Governance & Best Practices: Contribute to data science standards, model governance frameworks, and responsible AI practices

What we offer

Competitive remuneration package
Ticket Restaurant Card
Group Health Insurance Plan
Preferential household electricity plan
Pension Plan

Fulltime

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