ai/ml specialist

International Turnkey Systems - ITS

<div>
 
 For a
 
 well-known Islamic Bank in Bahrain
 
 , we are looking for an experienced
 
 AI/ML Specialist (Engineer &ndash; Data Platform)
 
 . This role is focused on designing, developing, and deploying advanced machine learning solutions to support digital transformation initiatives in the banking sector. The successful candidate will bring deep expertise in ML, NLP, cloud AI platforms, and MLOps, with a strong background in financial services.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 <ul>
 <li>
 Design and develop ML models for banking use cases (fraud detection, credit scoring, churn prediction, personalization).
 </li>
 <li>
 Collaborate with data engineers to prepare and preprocess data.
 </li>
 <li>
 Evaluate and optimize models for accuracy, precision, and recall.
 </li>
 <li>
 Deploy models using MLOps frameworks and CI/CD pipelines.
 </li>
 <li>
 Ensure explainability, compliance, and auditability of models.
 </li>
 </ul>
 
 
 
 
 
 Core AI/NLP Engineering
 
 
 <ul>
 <li>
 Work with Python frameworks (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude).
 </li>
 <li>
 Fine-tune LLMs (LoRA, PEFT, prompt tuning).
 </li>
 <li>
 Implement RAG pipelines and vector databases (Pinecone, FAISS, Weaviate, Chroma).
 </li>
 <li>
 Apply prompt engineering and orchestration tools (LangChain, LlamaIndex, Semantic Kernel).
 </li>
 </ul>
 
 
 
 
 
 Software Engineering &amp; Backend Integration
 
 
 <ul>
 <li>
 Develop APIs (RESTful, GraphQL), webhooks, and microservices.
 </li>
 <li>
 Containerize and deploy applications (Docker, Kubernetes).
 </li>
 <li>
 Integrate with enterprise systems (SharePoint, Salesforce, SQL).
 </li>
 </ul>
 
 
 
 
 
 Agent Orchestration &amp; Conversational AI
 
 
 <ul>
 <li>
 Utilize agent frameworks (LangGraph, AutoGen, CrewAI, Flowise).
 </li>
 <li>
 Design conversational UX with frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress).
 </li>
 <li>
 Conduct A/B testing and optimize user satisfaction.
 </li>
 </ul>
 
 
 
 
 
 Data &amp; Infrastructure
 
 
 <ul>
 <li>
 Build pipelines with Airflow, dbt, Kafka.
 </li>
 <li>
 Manage feature stores and model registries (MLflow, Kubeflow).
 </li>
 <li>
 Monitor models for drift and performance issues.
 </li>
 </ul>
 
 
 
 
 
 Governance, Security &amp; Compliance
 
 
 <ul>
 <li>
 Conduct bias/fairness audits.
 </li>
 <li>
 Ensure compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations.
 </li>
 <li>
 Implement secure logging and audit trails.
 </li>
 </ul>
 
 
 
 
 
 Product Strategy &amp; Business Alignment
 
 
 <ul>
 <li>
 Translate business problems into AI use cases.
 </li>
 <li>
 Define KPIs (accuracy, ROI, user satisfaction).
 </li>
 <li>
 Manage vendors and drive adoption of AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s Degree in Computer Science (BE in Computer Science &amp; Engineering).
 </li>
 <li>
 
 Experience:
 
 7&ndash;10 years in AI/ML engineering, preferably in banking and IT transformation.
 </li>
 <li>
 
 Professional Training:
 
 Machine Learning, Deep Learning, MLOps, AI in Financial Services.
 </li>
 <li>
 
 Certifications:
 
 </li>
 <li>
 Google Professional ML Engineer
 </li>
 <li>
 Microsoft AI Engineer Associate
 </li>
 <li>
 TensorFlow Developer Certificate
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 </ul>
 
 
 
 
 Skills &amp; Competencies
 
 <ul>
 <li>
 Machine Learning / Deep Learning
 </li>
 <li>
 Statistics &amp; Finance knowledge
 </li>
 <li>
 Data Preprocessing &amp; Feature Engineering
 </li>
 <li>
 Model Deployment &amp; MLOps
 </li>
 <li>
 Cloud AI Platforms (Azure ML, AWS SageMaker, Vertex AI)
 </li>
 <li>
 Explainable AI (XAI) &ndash; SHAP, LIME
 </li>
 <li>
 Statistical Analysis
 </li>
 <li>
 Business Problem Solving
 </li>
 </ul>
 
 
</div>

AI/ ML Specialist

OpenText

OPENTEXT - THE INFORMATION COMPANY
 OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.
 
AI-First. Future-Driven. Human-Centered.
 At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.
 
YOUR IMPACT: 
We are seeking a seasoned Senior Data Scientist to lead the development of intelligent solutions that solve complex business challenges. You will own the full lifecycle of AI/ML projects-from raw data processing and feature engineering to model deployment and monitoring. With 6+ years of experience, you are expected to bring technical depth in Python, a strong foundation in statistical modeling, and the ability to mentor junior team members.
 
WHAT THE ROLE OFFERS : 
<ul>
<li>End-to-End ML Pipelines: Design, develop, and deploy scalable machine learning models (Supervised, Unsupervised, and Deep Learning).</li>
<li>Advanced Data Processing: Architect robust data preprocessing workflows to handle large-scale structured and unstructured datasets, ensuring high data quality and integrity.</li>
<li>AI Innovation: Stay at the forefront of AI research (Generative AI, LLMs, NLP, or Computer Vision) and apply cutting-edge techniques to improve existing products.</li>
<li>Feature Engineering: Collaborate with Data Engineers to create reusable feature stores and optimize ETL/ELT processes for ML readiness.</li>
<li>Model Governance: Implement MLOps best practices, including model versioning (MLflow), experiment tracking, and monitoring for data drift and performance decay.</li>
<li>Strategic Leadership: Translate ambiguous business problems into technical roadmaps and present actionable insights to executive stakeholders.</li>
</ul>
WHAT YOU NEED TO SUCCEED : 
<ul>
<li>Bachelors or Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.</li>
<li>Programming: Mastery of Python (Pandas, NumPy, Scikit-learn) and proficiency in SQL for complex data extraction.</li>
<li>Machine Learning: Deep expertise in classical ML (XGBoost, Random Forest) and Deep Learning frameworks (TensorFlow or PyTorch).</li>
<li>Data Engineering: Strong experience in data processing at scale (using PySpark, Dask, or specialized SQL window functions).</li>
<li>Deployment: Experience containerizing models with Docker/Kubernetes and deploying via APIs (FastAPI/Flask).</li>
<li>Cloud Platforms: Hands-on experience with AI/ML services in Azure (Azure ML), AWS (SageMaker), or GCP (Vertex AI).</li>
<li>Mentorship: Proven track record of guiding junior and mid-level Data Scientists through technical hurdles.</li>
<li>Analytical Storytelling: The ability to explain the "why" behind a model's prediction to non-technical business leaders.</li>
<li>Resilience: Comfort with the iterative nature of data science—knowing when to pivot an approach based on experiment results.</li>
</ul>
ONE LAST THING: 
<ul>
<li>You are persistent and inquisitive. You have to understand why things are happening the way they are.</li>
<li>You are determined to understand cyber attack techniques at a very detailed level.</li>
<li>You are a self-starter who is able to work with minimal management, however have strong collaboration and interpersonal skills to work together with several other professionals from other information security fields.</li>
<li>You’re a creative thinker who wants to answer the question, “Why?”</li>
<li>Your workstation is a pyramid of monitors that you can't take your eyes off of at the risk of missing something.</li>
<li>You have a desire to learn new technologies.</li>
<li>Your sense of humor, passion and enthusiasm shines through in everything you do.</li>
</ul>
OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
 If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us athr@opentext.com. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Senior Data Scientist (AI/ML Specialist)

Snowflake

<div><div>Snowflake is about empowering enterprises to achieve their full potential &mdash; and people too. With a culture that&rsquo;s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology &mdash; and careers &mdash; to the next level.
At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology &mdash; and your career &mdash; to the next level.<div>
THE ROLE</div>
We are seeking a Director, Applied Field Engineering - AI/ML Product Specialists to spearhead our thriving and expanding America&rsquo;s team within the Applied Field Engineering organization.
In this pivotal leadership position, you will manage a team of Applied Field Engineers who are experts in specialized domains, including Generative AI, Machine Learning, and Advanced Analytics.
Your core responsibility will be to guide your team in Technical Sales excellence&mdash;securing technical wins while ensuring Consumption Activation. This involves more than just technical validation; you will lead your team in resolving architectural gaps and ensuring that solutions meet critical criteria like reliability and performance. Ultimately, your strategic leadership will be key in defining the team's vision, setting strategic priorities, and shaping product direction by surfacing critical market gaps to our engineering teams.<div>
RESPONSIBILITIES &amp; FOCUS AREAS:</div><div>
TECHNICAL STRATEGY &amp; CONSUMPTION ACTIVATION:</div><ul><li>
Drive Consumption Activation: Shift beyond the &quot;technical win&quot; to ensure customers successfully move workloads into production, directly accelerating the realization of contracted credits.</li><li>
Optimize Technical Sales Cycles: Refine engagement models to ensure AFEs are deployed on high-impact opportunities that maximize both TACV (Total Annual Contract Value) and immediate consumption potential.</li><li>
Architect for Scale: Ensure architectures are optimized for long-term growth and business value, preventing technical debt that could stall future consumption.</li><li>
Serve as a player/coach, leading by example through compelling architectural discussions and presentations at executive roundtables and community events.</li></ul><div>
PRODUCT DIRECTION &amp; STRATEGIC INFLUENCE:</div><ul><li>
Identify Product Gaps: Act as a critical feedback loop between the field and Product Engineering; systematically identify, document, and advocate for features or fixes required to unlock blocked workloads.</li><li>
Shape Product Direction: Partner with Product Management to influence the roadmap based on emerging AI/ML trends and &quot;boots on the ground&quot; customer requirements.</li><li>
Strategic Alignment: Collaborate closely with Sales Leadership to align technical resources with regional revenue targets and key account plans.</li><li>
Community Leadership: Establish and scale internal Communities of Practice to elevate the team's skills across all segments and regions within the Americas.</li></ul><div>
TEAM LEADERSHIP &amp; DEVELOPMENT:</div><ul><li>
Recruit, hire, and manage a high-performing team of Applied Field Engineers (AFEs), prioritizing their ongoing development and performance management.</li><li>
Cultivate a culture of Technical Sales excellence, where AFEs act as strategic advisors who bridge the gap between initial technical proof and long-term production value.</li></ul><div>
ON DAY ONE WE WILL EXPECT YOU TO HAVE:</div><ul><li>
15+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity.</li><li>
4+ years of people management experience, preferably leading specialized technical overlay teams.</li><li>
Proven track record in Consumption-based models: Experience driving not just &quot;bookings,&quot; but the actual activation and usage of software services.</li><li>
Strategic Product Influence: Demonstrated ability to translate complex customer challenges into actionable product requirements and influence engineering roadmaps.</li><li>
Deep Technical Authority: Executive-level expertise in at least two of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture.</li><li>
Executive Presence: Proven ability to advise C-level executives on future-state technical architectures and the business ROI of AI/ML investments.</li><li>
Education: University degree in computer science, engineering, mathematics, or related fields (or equivalent experience).</li></ul><div>
ABOUT OUR TEAM</div>
Our Applied Field Engineering team consists of highly skilled and experienced technical specialists. We are passionate about client and internal stakeholder success, ensuring data is accessible, usable, and valuable to everyone.
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:<ul><li>
This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $308,000 - $404,250. The estimated base salary for this role is $231,000 - $303,188.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s equity plan.</li></ul>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div></div>

Director, Applied Field Engineering - AI/ML Product Specialist

HCLTech

<div>
 
 
 Role Title : AI/ML Specialist &ndash; Agentic AI for Surgical Video Learning &amp; Optimization
 
 
 
 
 
 
 
 Technical Skills
 
 
 
 &bull; Strong expertise in Computer Vision and Video AI, including semantic segmentation
 
 
 and temporal modeling
 
 
 &bull; Hands‑on experience with deep learning architectures (CNNs, Vision Transformers,
 
 
 multimodal transformers)
 
 
 &bull; Experience designing or implementing agentic AI or autonomous optimization loops
 
 
 &bull; Proficiency with AI/ML frameworks such as PyTorch or TensorFlow
 
 
 &bull; Experience with MLOps and ML lifecycle management in cloud and/or edge
 
 
 environments
 
 
 Domain &amp; Platform Knowledge
 
 
 &bull; Exposure to medical imaging or surgical video analytics is strongly preferred
 
 
 &bull; Understanding of annotation workflows, data quality challenges, and reviewer
 
 
 feedback integration
 
 
 &bull; Experience working in regulated environments (MedTech, healthcare, or life
 
 
 sciences) is an advantage
 
 
 
 Qualifications
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related
 
 
 field
 
 
 &bull; 6&ndash;10+ years of experience in AI/ML solution development, with demonstrated
 
 
 ownership of production models
 
 
 
 Key Interfaces
 
 
 
 &bull; Data Engineers &amp; MLOps Engineers.
 
</div>

Information Technology Specialist

Crayon Data

<div>Job Description
<div><div>Senior Data Scientist &ndash; Chennai (AI/ML &amp; BFSI Focus) 
From models to measurable impact &mdash; drive real change with AI.</div><div>
Location: Chennai, India 
Experience: 6&ndash;8 years in Data Science/ML (preferably in BFSI or other data-rich industries) 
Innovators who don&rsquo;t just build models but drive measurable business impact. 
Expertise: Fierce desire to use AI in every aspect of their role, and complement them with human skills in anticipating and meeting client need. 
Proactive individuals who drive business, think on feet, who see solutions, not problems</div><div>
Role Overview</div><div> 
As a Senior Data Scientist, you will design, build, and scale AI/ML solutions that power enterprise sales acceleration. You will collaborate with cross-functional teams to transform financial services through data-driven decision-making, risk intelligence, personalization, and predictive modeling.</div><div> 
What makes you right for the role? 
 
Advanced AI/ML Modeling &ndash; Develop and deploy scalable ML algorithms for risk modeling, fraud detection, customer intelligence, and hyper-personalization. 
AI Productization &ndash; Translate complex AI research into production-ready solutions driving enterprise adoption. 
Data Strategy &ndash; Partner with business stakeholders to identify data opportunities and define AI-driven use cases. 
Thought Leadership &ndash; Evangelize AI applications in BFSI through prototypes, presentations, and client workshops. 
Team Leadership &ndash; Mentor junior data scientists, drive best practices, and lead innovation sprints with engineering and product teams.</div><div>
The person you&rsquo;re</div><div> 
<ul><li>
Strong academic foundation (Master&rsquo;s/PhD in ML, Computer Science, Applied Math, or Statistics). 
</li></ul></div><div><ul><li>
Proven experience in applying machine learning at scale within BFSI or similar domains. 
Expertise in Python, ML frameworks (TensorFlow/PyTorch), and cloud platforms (AWS/Azure/GCP).</li></ul></div><div><ul><li>
 Ability to translate business challenges into AI-driven solutions with measurable ROI. 
Passionate about experimentation, innovation, and pushing the boundaries of applied AI.</li></ul></div><div><ul><li>
 Chennai-based with flexibility to travel for client discussions and collaborations.</li></ul></div></div></div>
 <div>Job Information
<ul><div>Date Opened
<div>02/17/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>4-7 year
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Chennai
</div></div><div>State/Province
<div>Tamil Nadu
</div></div><div>Country
<div>India
</div></div><div>Zip/Postal Code
<div>600001</div></div></ul></div>

Senior Data scientist

Tech Pinacle Innovation Pvt Ltd

Job Title: Senior AI EngineerExperience: 5+ Years Location: [Noida / Remote] Employment Type: Full-TimeRole OverviewWe are seeking a highly skilled Senior AI Engineer to design, develop, and deploy scalable AI-powered applications leveraging modern LLM ecosystems and cloud-native architectures.The ideal candidate will have hands-on experience with advanced generative AI models, AI orchestration frameworks, MLOps practices, and enterprise-grade system design.Key Responsibilities<ul><li>AI/ML Engineering &amp; LLM Development</li><li>Design and implement AI-powered solutions using:</li><li>OpenAI APIs (GPT-3.5, GPT-4.0)</li><li>Gemini models</li><li>Build structured AI services using:</li><li>LangChain or similar orchestration frameworks</li><li>PydanticAI &amp; FastMCP</li><li>Develop and optimize prompts following AI safety and best practices</li><li>Implement RAG pipelines and multi-agent workflows</li><li>Ensure AI system observability, performance, and security</li></ul>Backend &amp; API Development<ul><li>Develop scalable APIs using:</li><li>Python</li><li>YAML</li><li>FastAPI</li><li>Apply structured validation using Pydantic-based frameworks</li><li>Design and optimize PostgreSQL databases</li><li>Build reusable AI components and automation-first solutions</li></ul>Cloud &amp; DevOps<ul><li>Deploy AI solutions on:</li><li>Google Cloud Platform (GCP)</li><li>Implement CI/CD pipelines for AI systems</li><li>Apply MLOps principles for model lifecycle management</li><li>Containerize workloads using:</li><li>Docker</li><li>Kubernetes</li><li>Monitor performance, scalability, and cost trade-offs</li></ul>Required Qualifications<ul><li>5+ years of experience in AI/ML engineering or related roles</li><li>Hands-on experience with OpenAI (GPT-3.5, GPT-4.0) and Gemini models</li><li>Strong proficiency in Python and API-based AI system design</li><li>Experience with PostgreSQL database design &amp; optimization</li><li>Cloud deployment experience (GCP preferred)</li><li>Understanding of MLOps and CI/CD practices</li><li>Experience with LangChain or similar orchestration frameworks</li><li>Knowledge of prompt engineering and AI safety principles</li><li>Familiarity with containerized AI deployments</li></ul>Preferred Qualifications<ul><li>Experience designing full-stack AI-enabled applications</li><li>Exposure to enterprise-grade architecture design</li><li>Strong stakeholder communication and vendor coordination skills</li></ul>Competencies &amp; Best Practices for High PerformersSoftware Engineering Excellence<ul><li>Applies coding skills independently with minimal guidance</li><li>Demonstrates &ldquo;automation-first&rdquo; mindset</li><li>Understands cost, scalability, and architectural trade-offs</li><li>Designs reusable components and shared libraries</li><li>Implements monitoring and diagnostic instrumentation</li><li>Actively contributes to Agile and CI/CD practices</li><li>Accounts for security, scalability, and performance in delivered code</li></ul>Customer-Centric &amp; Design Thinking<ul><li>Advocates for user needs and experience</li><li>Understands business impact of AI solutions</li><li>Develops prototypes and iterative models for user validation</li></ul>Technology &amp; Business Acumen<ul><li>Expands technical knowledge proactively</li><li>Understands regulatory and digital channel implications</li><li>Designs solutions aligned with business goals</li></ul>Security &amp; Compliance<ul><li>Knowledgeable about security controls for AI systems</li><li>Applies responsible AI and data governance practices</li></ul>Analytical &amp; Problem-Solving<ul><li>Uses data-driven approaches to identify root cause</li><li>Evaluates solution trade-offs</li><li>Eliminates variables to isolate technical issues</li></ul>Quality &amp; Operational Discipline<ul><li>Adheres to quality control guidelines</li><li>Tracks and reports risks proactively</li><li>Continuously improves system reliability and maintainability</li></ul>Job Types: Full-time, PermanentPay: ₹339,691.31 - ₹1,601,120.44 per yearWork Location: Hybrid remote in Noida

Senior Engineer - Production

Astellas

<div>Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong to Astellas!
Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com . 
 
 
Astellas&rsquo; Global Capability Centres &ndash; Overview
Astellas&rsquo; Global Capability Centres (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. Our three GCCs are located in India, Poland and Mexico.
The GCCs will enhance our operational efficiency, resilience and innovation potential, enabling a timely response to changing business demands.
Our GCCs are an integral part of Astellas, guided by our shared values and behaviors, and are critical enablers of the company&rsquo;s strategic priorities, sustainable growth, and commitment to turn innovative science into VALUE for patients. 
 
 
Purpose and Scope: 
 
The data analysis team serves as a bridge between business and technology by reporting and monitoring data, operationalizing data science and machine learning products, and identifying opportunities for continuous improvement to enhance decision-making. As a data scientist, you will be responsible for partnering with corporate functions to understand their business problem, and design, implement, and maintain digital solutions using analytical, data science, and AI/ML techniques. Mostly importantly, an innovative and collaborative mindset is needed to increase the value to patients.
Responsibilities and Accountabilities:
<ul><li>Bridge between business and technology for decision making:
<ul><li>Data storytelling.
</li><li>Uncovering patterns in data.
</li><li>Providing unbiased and data-driven insights for decision making.
</li><li>Building out analytical processes and translating results into actions for the business.
</li></ul></li></ul><ul><li>Operationalizing data science and ML products:
<ul><li>Building out automated processes based on data science and ML products and incorporating them into BAU processes
</li><li>Collecting business stakeholder input and buy-in to increase use of analytical products for increased efficiency and decreased costs.
</li><li>Utilize programming languages such as Python and R to perform data analysis and modeling.
</li></ul></li></ul><ul><li>Identification of continuous improvement:
<ul><li>Identification of opportunities for improvement across business pipelines.
</li><li>Coordination across multiple teams and stakeholders to act.
</li><li>Stay updated on industry trends and best practices in data analysis, data science, AI, and business intelligence.
 
</li></ul></li><li>Reporting and monitoring:
<ul><li>Dashboard creation for reporting and monitoring: develop and maintain dashboards and reports using BI tools such as QlikSense and Tableau to visualize data and support decision-making.
</li><li>Collaborate with cross-functional teams to define key performance indicators (KPIs) and metrics for tracking business performance.
</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.
</li><li>Data visualization.
</li><li>Database querying using SQL.
</li><li>Basic statistical analysis: analyze complex datasets to identify trends, patterns, and opportunities for improvement.</li></ul></li></ul></div>
 <div>Required Qualifications:
<ul><li>3-5 years of experience in data analysis or data science role.
</li><li>Bachelor&rsquo;s degree in mathematics, data science, statistics, or a related field.
</li><li>3-5 years of experience using Python and R.
</li><li>3-5 years of experience using statistical and AI/ML concepts.
</li><li>Demonstrates strong innovative mindset to increase value to patients.
</li><li>3+ years of experience using business intelligence tools including Qliksense, Tableau, and/or PowerBI.
</li><li>Proficiency in database querying languages such as SQL and knowledge of database management systems.
</li><li>Knowledge of or experience using Generative AI.
</li><li>Experience ensuring data quality, consistency, and accuracy.
</li><li>Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
</li><li>Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
</li><li>Ability to communicate and work effectively with other technical team members to agree on a best solution.
</li><li>A self-starter able to work on own but know when to collaborate with wider team to ensure best overall solution.
</li><li>Experience working with data warehousing and data modelling.
</li><li>Ability to design and implement logical and physical data models.
</li><li>Familiarity with data warehousing concepts, including star schema, snowflake schema, and data marts.
</li><li>Understanding of ETL (Extract, Transform, Load) processes and data integration techniques.
</li><li>Ability to work collaboratively in a fast-paced, team-oriented environment.
</li>Ability to adhere to agile principles and to act as an agile champion. 
<li>
 
 
</li></ul>Preferred Qualifications:
<ul><li>Master&rsquo;s or PhD in mathematics, data science, statistics, or a related field.
</li><li>Experience using PySpark.
</li><li>Experience in a consulting role.
</li><li>Experience in the pharmaceutical or healthcare industry.
</li><li>Proficiency with Databricks.
</li>Experience with Cloud environments, DevOps, infrastructure, and deployment. 
<li>
</li></ul>Working Environment:
At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas&rsquo; Responsible Flexibility 
&quot;Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from a verified company email address (Astellas email address) or an official Astellas LinkedIn profile. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help&quot;</div>

Data Scientist

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