data science consultant

EPAM Systems

<div>Join our technology and business consulting team as a Data Science Consultant, where you will lead machine learning projects from concept through deployment and support clients in leveraging AI/ML solutions.
If you are passionate about advancing your expertise in data science and contributing to ethical AI practices, we encourage you to apply.
Responsibilities<ul><li>
Lead machine learning initiatives from ideation to proof of concept development and deployment</li><li>
Collaborate with business stakeholders to identify AI and machine learning opportunities</li><li>
Develop and test hypotheses to guide data science projects</li><li>
Build, test, and optimize predictive models and algorithms</li><li>
Ensure compliance with ethical and regulatory standards for models</li><li>
Deliver actionable insights to support strategic client decisions</li><li>
Stay current with advancements in AI and machine learning technologies</li><li>
Implement monitoring systems to track model performance in production</li><li>
Provide expertise on feature engineering, model selection, and hyperparameter tuning</li><li>
Validate data integrity, model fairness, and reliability of outcomes</li><li>
Promote ethical AI practices and develop frameworks for responsible AI use</li><li>
Lead MLOps efforts to enable scalable and automated model deployment</li><li>
Mentor team members on best practices and problem-solving</li><li>
Share success stories and case studies to enhance team knowledge</li><li>
Manage team resources and oversee project progress</li></ul>
Requirements<ul><li>
Proficiency in Python, R, and data science libraries such as scikit-learn, TensorFlow, and PyTorch</li><li>
Strong knowledge of machine learning algorithms and statistical methods</li><li>
Experience with cloud AI platforms, including AWS SageMaker, Azure ML, or GCP AI Platform</li><li>
Competency in model explainability techniques and bias mitigation</li><li>
Skills in data visualization to aid model interpretability</li><li>
Analytical and critical thinking abilities</li><li>
Familiarity with Agile development methodologies</li><li>
Effective interpersonal and communication skills for client engagement</li><li>
Strong written and verbal English communication skills (B2+)</li></ul>
Nice to have<ul><li>
Expertise in advanced AI techniques such as natural language processing, computer vision, or reinforcement learning</li><li>
Knowledge of distributed computing frameworks like Dask or Ray for large-scale model training</li><li>
Experience with MLOps tools such as MLflow or Kubeflow</li><li>
Background in people management</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</div>

Data Science Consultant

Blue Yonder

<div><div>Overview &amp; Scope:</div><div></div><div>
Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s &ldquo;Best Places to Work&rdquo;</div><div>
We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain Management team. The ideal candidate will leverage data-driven insights to optimize supply chain processes, improve decision-making, and drive business results. You will work closely with cross functional teams, utilizing advanced data analytics, machine learning, and optimization techniques to enhance supply chain efficiency, forecast demand, and solve complex operational challenges.</div><div></div><div>
What you&rsquo;ll do:</div><div></div><ul><li>
Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply planning to uncover actionable insights.</li><li>
Machine Learning: Apply statistical and machine learning techniques to forecast demand which would include</li><li>
Data ingestion, data visualization and insights, verifying the integrity of data used for analysis</li><li>
Feature engineering, configuring forecasting models</li><li>
Fine tune forecasting model</li><li>
Present results in a clear manner</li><li>
Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce costs, and enhance service levels.</li><li>
Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising stakeholders on best practices, tools, and strategies for effective supply chain management.</li><li>
Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven strategies for continuous improvement.</li></ul><div></div><div>
What we are looking for:</div><div></div><ul><li>
Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.</li><li>
Experience: 14-17 years of experience in data science or Supply Chain Operations Analytics, or worked on forecasting projects leveraging statistical/ML models; experience with data visualization tools</li><li>
Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and experience with supply chain management platforms/processes. Good, applied statistics skills, such as distributions, statistical testing, regression, etc</li><li>
Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models.</li><li>
Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory management, procurement, logistics, and distribution.</li><li>
Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and translate insights into actionable recommendations.</li></ul><div></div><div>
Personal competencies:</div><ul><li>
Ability to work independently and as part of a team in a consulting environment.</li><li>
Attention to detail, with the ability to manage large data sets and complex analysis. o Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.</li></ul><div></div><div>
Our Values</div><div> 
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: <div>Core Values</div></div><div></div><div>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div></div>

Sr Staff Data Science Consultant - Supply Chain

NTT DATA North America

<div>
 
 Req ID:
 
 336383
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data Science Business Sr. Consultant (BY/o9) to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 
 Position: Senior Consultant, Data Scientist &ndash; Supply Chain Consulting
 
 
 
 
 Experience Required:
 
 5 to 8 years in Data Science, Analytics, or related fields
 
 
 
 Location:
 
 Remote (within India) Or Hybrid from our offices in Bangalore, Delhi, and other locations
 
 
 
 What You&rsquo;ll Do
 
 
 
 NTT Data is seeking an experienced
 
 Data Scientist
 
 to join its
 
 Supply Chain Consulting
 
 team. You will be part of a global team that designs and delivers cutting-edge supply chain solutions for leading organizations.
 
 
 Your primary focus will be on developing and deploying
 
 forecasting solutions
 
 using both traditional statistical models and modern machine learning techniques. In addition to forecasting, you will contribute to building
 
 AI/ML-driven solutions
 
 for diverse real-world supply chain challenges.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement time series forecasting models for demand planning and other supply chain use cases.
 </li>
 <li>
 Apply statistical techniques such as ARIMA, ETS etc for effective &amp; strong baseline modeling.
 </li>
 <li>
 Implement and optimize machine learning algorithms (e.g., Boosting methods like LightGBM, CatBoost etc) to improve forecast accuracy.
 </li>
 <li>
 Collaborate with clients to understand business problems and translate them into data science solutions.
 </li>
 <li>
 Contribute to broader AI/ML initiatives across supply chain functions, including anomaly detection, inventory optimization, and scenario modeling.
 </li>
 <li>
 Communicate results effectively to technical and non-technical stakeholders.
 </li>
 <li>
 Work closely with digital supply chain platforms such as o9, Blue Yonder, or similar (experience preferred).
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 5 to 8 years of hands-on experience in Data Science or Analytics, preferably in supply chain or operations domains.
 </li>
 <li>
 Strong expertise in time series forecasting, with proven experience implementing models like ARIMA, ETS, etc.
 </li>
 <li>
 Solid experience in applying machine learning techniques such as boosted trees, random forests, etc.
 </li>
 <li>
 Proficiency in Python (including libraries like pandas, scikit-learn, statsmodels/StatsForecast/DARTS etc) and SQL.
 </li>
 <li>
 Exposure to or experience with digital supply chain tools (e.g., o9, Blue Yonder) is highly desirable.
 </li>
 <li>
 Strong problem-solving and communication skills with the ability to manage client interactions independently.
 </li>
 <li>
 Understanding of MLOps, model deployment, or cloud platforms (Azure, AWS) is a plus.
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Data Science Business Sr. Consultant (BY/o9)

Accenture

We combine our strength in technology with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy &amp; Consulting, Technology, Operations, Industry X and Accenture Song. These capabilities, together with our culture of shared success and commitment to creating 360  value, enable us to help our clients succeed and build trusted, lasting relationships. We measure our success by the 360  value we create for our clients, each other, our shareholders, partners and communities. About the Role We are seeking a dynamic Data &amp; AI Consultant with strong expertise in applying advanced analytics, artificial intelligence, and machine learning to marketing and business challenges. This role blends technical consulting with marketing strategy , enabling clients to harness data-driven insights and AI-powered solutions to optimize customer engagement, personalize campaigns, and maximize ROI. The ideal candidate is equally comfortable building analytical models as they are advising senior marketing leaders on how to leverage data and AI for growth. Key Responsibilities Consulting &amp; Strategy Partner with clients to understand their business goals, particularly in marketing, customer experience, and digital transformation. Translate marketing challenges into data and AI solutions (e.g., segmentation, recommendation engines, predictive analytics, customer lifetime value models). Develop roadmaps for implementing AI-driven marketing solutions that improve personalization, targeting, and campaign performance. Data &amp; AI Solutioning Design, build, and implement AI/ML models for marketing applications (e.g., churn prediction, lead scoring, NLP for sentiment analysis, dynamic pricing). Work with structured and unstructured data to generate insights that inform brand, product, and digital strategies. Assess and integrate marketing technology platforms (CRM, CDP, marketing automation tools) with data pipelines and AI solutions. Explore and apply Agentic AI frameworks to enable autonomous decision-making, workflow orchestration, and adaptive personalization in marketing use cases Marketing Analytics &amp; Insights Deliver advanced marketing analytics, including campaign effectiveness, attribution modeling, and customer journey analysis. Build dashboards and visualizations that communicate data-driven stories to marketing and leadership teams. Provide actionable insights that drive customer acquisition, retention, and engagement. Client Engagement &amp; Enablement Act as a trusted advisor to marketing and business stakeholders. Lead workshops and training sessions on AI in marketing (generative AI, personalization, predictive modeling). Stay ahead of AI, data, and marketing technology trends to guide clients on emerging opportunities. 4+ years of work experience. Good knowledge of AI/ML techniques (classification, clustering, NLP, recommendation engines, generative AI). Proficiency in data analytics tools and programming (Python, R, SQL, Power BI/Tableau). Experience with marketing technology platforms (HubSpot, Salesforce Marketing Cloud, Adobe Experience Cloud, Google Analytics). Experience in building Agentic AI systems, conversational AI / AI bots , Prompting Familiarity with cloud ecosystems (Azure, AWS, GCP) for AI deployment. Professional Skills Excellent communication and presentation skills; able to simplify complex data concepts for non-technical stakeholders. Strong client-facing consulting experience. Ability to work cross-functionally and manage multiple projects simultaneously. Preferred Background Degree in Data Science, Computer Science, Marketing Analytics, or a related field. Prior experience in consulting, agency, or corporate marketing analytics roles. Familiarity with privacy and ethical AI considerations in marketing. What We Offer Exposure to cutting-edge AI and data projects across industries A collaborative environment with experts in AI, data science, and digital strategy. Ongoing professional development and certification opportunities. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

Data & AI Consultant

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Level
 
 : Consultant
 
 
 As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3-6 years of relevant hands-on experience in Data Science, Machine Learning, Statistical Modeling
 </li>
 <li>
 Must have strong hands-on experience with programming languages like Python, PySpark and SQL, and frameworks such as Numpy, Pandas, Scikit-learn, etc.
 </li>
 <li>
 Expertise in Classification, Regression, Time series, Decision Trees, Optimization, etc.
 </li>
 <li>
 Hands on knowledge of Docker containerization, GIT, Tableau or PowerBI
 </li>
 <li>
 Model deployment on Cloud or On-prem will be an added advantage
 </li>
 <li>
 Familiar with Databricks, Snowflake, or Hyperscalers (AWS/Azure/GCP/NVIDIA)
 </li>
 <li>
 Deliver large-scale DS/ML end to end projects across multiple industries and domains
 </li>
 <li>
 Liaison with on-site and client teams to understand various business problem statements, use cases and project requirements
 </li>
 <li>
 Work with a team of Data Engineers, ML/AI Engineers, DevOps, and other Data &amp; AI professionals to deliver projects from inception to implementation
 </li>
 <li>
 Utilize maths/stats, AI, and cognitive techniques to analyze and process data, predict scenarios, and prescribe actions.
 </li>
 <li>
 Drive a human-led culture of Inclusion &amp; Diversity by caring deeply for all team members
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Should follow research papers, comprehend and innovate/present the best approaches/solutions related to DS/ML
 </li>
 <li>
 AI/Cloud certification from a premier institute is preferred.
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad/Pune/Chennai/Kolkata
 
 
 </li>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 300100
</div>

Consultant-Machine Learning

First Due Solutions

Job DescriptionAbout CoffeeBeans ConsultingCoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery&mdash;from exploration and modeling to GenAI application development and deployment.Location : Bangalore / Pune (with short/medium-term travel opportunities within India &amp; foreign location)Work mode : Hybrid( 3 days WFO)Role OverviewAs an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistants.This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI applications.Key ResponsibilitiesML &amp; Data ScienceOwn and deliver ML model development, tuning, and evaluation for client-facing projects.Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervision.Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectations.Contribute to experimentation frameworks and model reproducibility best practices.GenAI &amp; LLM ApplicationsDesign and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Llama).Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI systems.Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context providers.Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app development.Product &amp; Engineering CollaborationCollaborate with engineering teams to take models from experimentation to deployment (batch/real-time).Assist in building APIs and data pipelines needed for productionizing models.Contribute to technical documentation, explainability reports, and client presentations.Team &amp; GrowthMentor junior data scientists and review code/model design.Stay current with advances in ML and GenAI to inform solution design and share knowledge internally.Participate in discovery and solutioning phases with clients alongside tech leads and PMs.Required Skills &amp; QualificationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.4.5 - 6 years of hands-on experience in applied data science, including both ML model development and GenAI-based solutioning.Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGBM, etc.).Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or similar).Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM outputs.Proficiency in SQL and data wrangling tools (pandas, NumPy).Experience working with REST APIs, Git, and cloud environments (AWS/GCP).Good-to-Have SkillsExperience with deploying models via FastAPI, Docker, or serverless platforms.Knowledge of MLOps tools (MLflow, DVC) and monitoring frameworks.Experience with embeddings, vector databases, and similarity search.What You Can Expect at CoffeeBeansWork on real-world AI/ML problems across verticals.Be part of a fast-moving team delivering end-to-end ML &amp; GenAI apps.Collaborate with experienced engineers and PMs in a flat and open culture.Opportunities to lead, mentor, and influence tech direction.Job Types: Full-time, PermanentPay: Up to &#8377;2,400,000.00 per yearApplication Question(s):<ul><li>Last Working Date?</li></ul>Experience:<ul><li>Total Work: 5 years (Preferred)</li></ul>Work Location: In person

Data Scientist

AIQU

<div>
 
 
 Role :
 
 Data Science Advisory - Customer Facing Data Scientist
 
 
 
 Location
 
 : Riyadh , Saudi Arabia
 
 
 
 Contract
 
 : 6 Months extendable
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 As part of the Data Science team, you will collaborate closely with customers and bring expertise in data science and AI to help them achieve their organization&rsquo;s objectives. You&rsquo;ll work with clients in various industries on diverse use cases and with stakeholders in business (executive, line of business) and technical (data science, engineering, analytics).
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Post-sales:
 
 
 <ul>
 <li>
 Be the product and data science subject matter expert to our customers by leading implementation, advising on the viability and execution of use cases, helping to develop Joint Success Plans (JSP), and leading their execution.
 </li>
 <li>
 Ensure the success of our customers by helping to achieve quantifiable Value Realization Indicators&mdash;leading to renewals, expansions, and furthering the growth of both our customers and the company.
 </li>
 <li>
 Act as a trusted advisor on AI across the customer lifecycle; enable customers to solve complex data science problems &ndash; including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption.
 </li>
 </ul>
 
 
 General:
 
 
 <ul>
 <li>
 Act internally as the voice of the customer to the Product, Engineering, and Marketing teams.
 </li>
 <li>
 Present at conferences and/or help create other marketing content.
 </li>
 </ul>
 
 
 Key Relationships:
 
 
 <ul>
 <li>
 Collaborate across the GTM organization, including Sales, Customer Success, and other Applied AI Experts teams.
 </li>
 <li>
 Provide feedback from the field to colleagues in Product Management, Engineering, and Customer Support.
 </li>
 </ul>
 
 
 Knowledge, Skills, and Abilities:
 
 
 <ul>
 <li>
 English &amp; Arabic speaking
 </li>
 <li>
 Familiarity with consultative sales processes in the data/analytics marketplace
 </li>
 <li>
 Experience dealing with complex customer organizations
 </li>
 <li>
 Hands-on experience building and implementing machine learning or AI models
 </li>
 <li>
 Familiarity with a variety of technical tools for the manipulation of data
 </li>
 <li>
 Ability to understand, write, and collaborate with Python or R
 </li>
 <li>
 Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successful business outcomes
 </li>
 <li>
 Excellent project management and organizational abilities
 </li>
 <li>
 Regional travel may be required
 </li>
 </ul>
 
 
 Requisite Education and Experience / Minimum Qualifications:
 
 
 <ul>
 <li>
 4+ years of experience either in a pre-sales role or in Data Science/predictive modeling. Strong candidates with 2+ years of experience as a pre-sales or post sales data scientist will also be considered.
 </li>
 <li>
 2+ years of experience in customer-facing roles.
 </li>
 <li>
 Bachelor&rsquo;s degree, preferably in a quantitative subject.
 </li>
 <li>
 Strong customer interaction, communication, writing, and interpersonal skills.
 </li>
 </ul>
 
 
</div>

Data Science Advisory- Customer Facing

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