data science consultant

Talent 360 ME

<div>
 
 Wind Integrated Solutions, Oracle Partner
 
 
 in Egypt, KSA &amp; UAE
 
 is looking for a "
 
 
 Data Management and Science Consultant &ndash; Data Fabric Solutions
 
 
 " to be a part of their team.
 
 
 In this position, you will support organizations in transforming their data infrastructure through
 
 AI-powered data fabric solutions
 
 . We are seeking a hands-on data professional who can work closely with customers on
 
 end-to-end implementation projects
 
 .
 
 
 Wind Integrated Solutions is Software Development Company that provides technology services, business automation, and business digitalization.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Conduct data assessments and discovery workshops with customers
 </li>
 <li>
 Design data governance frameworks and data integration architectures
 </li>
 <li>
 Configure and deploy data management solutions
 </li>
 <li>
 Prepare technical documentation and implementation guides
 </li>
 <li>
 Train customer teams on best practices and solution usage
 </li>
 <li>
 Support pre-sales activities through technical demonstrations
 
 
 
 </li>
 </ul>
 
 Qualifications and Requirements:
 
 
 
 <ul>
 <li>
 3-5 years experience in data management or database administration
 </li>
 <li>
 Solid database knowledge (SQL, PL/SQL, data modeling)
 </li>
 <li>
 Understanding of data governance concepts and data quality principles
 </li>
 <li>
 Experience working directly with customers or business stakeholders
 </li>
 <li>
 Strong Arabic and English communication skills
 </li>
 <li>
 Ability to explain complex technical topics in simple terms
 
 
 
 </li>
 </ul>
 
 Company Industry
 
 : Information Technology Services
 
 
 
 Location:
 
 Maadi - Cairo
 
 
 
 Working Hours:
 
 9:00 AM to 5:00 PM.
 
 
 
 Working Days:
 
 From Sun to Thu.
 
 
 
 Benefits:
 
 Attractive salary - Hybrid Model - Social &amp; Medical insurance - Friendly Environment - Learning &amp; Development Opportunities - Other benefits
 
 
 Ready to take the next step in your career? Apply now and be part of a team where your growth matters!
</div>

Data Management & Science Consultant

Kyndryl

<div>Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. 
 
The Role
Are you ready to embark on an exhilarating journey as a Data Consultant? Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner.
 
 
As a Data Consultant, your impact will be monumental. You will unleash the potential of data technology, collaborating with customers to envision and conceptualize strategic applications. By combining your deep understanding of business and technology, you will become a catalyst for success, delivering invaluable insights and recommendations that propel our customers' organizations forward.
 
 
Prepare to immerse yourself in the world of data strategies and programs, crafting ingenious approaches to collecting, storing, analyzing, and visualizing data from diverse sources. Your technical expertise in a vast array of cutting-edge big data tools will empower you to develop groundbreaking solutions tailored to meet the unique requirements of each customer.
 
 
But that's not all &ndash; your role as a Data Consultant at Kyndryl will transcend traditional boundaries. You will lead captivating workshops and engaging consulting engagements, helping customers forge data-driven strategies that reshape their future. Educating our customers about the latest Data Science technologies and frameworks will be second nature to you, enabling them to unlock the full potential of their data resources.
 
 
Armed with an analytical approach, you will unveil strategies, assessments, recommendations, and comprehensive plans to address complex issues while seamlessly aligning both the technical and functional requirements of IT and the business. Your deep consulting skills and business acumen will be harnessed to analyze customer business issues, formulate hypotheses, and test conclusions, ultimately delivering data solutions that defy expectations.
 
 
If you have a passion for turning data into a force for change and thrive in a dynamic, fast-paced environment, this is your chance to shine! Unleash your creativity, embrace innovation, and become a master of efficiency as you create solutions that revolutionize customer business and IT landscapes. Join Kyndryl and become part of a remarkable team that turns data into success stories.
 
 
Your Future at Kyndryl
 
As a Data Consultant at Kyndryl you will join the Kyndryl Consultant Profession, working with other Kyndryl Consultants, Architects, Project Managers, and cross-functional Technical Subject Matter Experts &ndash; presenting unlimited opportunities with unmatched support through our investment in your learning, training, and career growth. 
 
Who You Are
<div>You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
 
 
Required Skills and Experience
 
 
<ul><li>Experience in data consulting, with a proven track record of delivering transformative solutions
</li><li>Excellent communication and interpersonal skills with the ability to communicate confidently and professionally with all levels of the organization
</li><li>Skilled in tailoring insights to present clearly to technical and non-technical audiences
</li><li>Understands CrispDM methodology and/or Six Sigma's DMAIC
</li><li>Familiarity with microservice architecture
</li><li>Client-facing experience as a data engineer/consultant
</li><li>In-depth understanding of analytics and data science
</li><li>Up-to-date knowledge of current data tools and industry changes and analyze big data
</li></ul> 
Preferred Skills and Experience
 
 
<ul><li>Bachelor's degree in Computer Science, Information Security, or a related field
</li><li>Skilled in planning, organization, analytics, and problem-solving
</li><li>Excellent communication and interpersonal skills to work collaboratively with clients and team members
</li><li>Comfortable working with statistics 
</li></ul></div> 
Being You
Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way. 
 
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred!
If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</div>

Technical Associate (Emirati.)

Dell Technologies

<div>
 
 Data Science Consultant
 
 
 
 Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What&rsquo;s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
 
 
 Dell Content Engineering and Translation (CET) teams exist within a very complex ecosystem of departments and business units around the world that together enable Dell's commitment to excellence. As Dell expands its offerings and updates its infrastructure, CET is increasingly at the center of many fast-paced, exciting projects which require vision and technical acumen to achieve, as well as expertise at navigating administrative and political complexity.
 
 
 Join us as a
 
 Senior Data Scientist
 
 on our
 
 DevOps
 
 team in
 
 Bangalore
 
 to do the best work of your career and make a profound social impact.
 
 
 
 What You&rsquo;ll Achieve
 
 
 
 The Senior Data Scientist will join Dell&rsquo;s Content Engineering &amp; Translation (CET) organization, driving innovation at the intersection of knowledge graphs and Generative AI. This role focuses on graph-based modelling and reasoning as well as GenAI, LLMs, and agentic workflows, delivering intelligent, explainable, and scalable solutions for Dell&rsquo;s global content ecosystem. You will combine strong theoretical foundations in data science and machine learning with hands-on expertise in graph technologies, LLM integration, and multi-modal workflows.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Collect and analyze linguistic data; implement core NLP techniques like tokenization, NER, and sentiment analysis for MT/NLG pipelines.
 </li>
 <li>
 Design reproducible experiments, establish annotation protocols, and evaluate models using metrics like BLEU, COMET, and ROUGE.
 </li>
 <li>
 Build and enrich knowledge graphs; design ontologies and schemas; optimize queries using SPARQL and Cypher.
 </li>
 <li>
 Develop GraphRAG pipelines, train graph/text embeddings, and integrate agentic frameworks (e.g., LangGraph) for multi-hop reasoning and query translation.
 </li>
 <li>
 Work with MLOps teams to deploy models with CI/CD; monitor GenAI solutions for quality and performance; communicate results to stakeholders.
 
 
 </li>
 </ul>
 
 Take the first step towards your dream career
 
 
 
 Every Dell Technologies team member brings something unique to the table. Here&rsquo;s what we are looking for with this role:
 
 
 
 Essential Requirements
 
 
 
 <ul>
 <li>
 Experience of 12 to 15 years, with strong Python skills with hands-on experience in ML frameworks (PyTorch, TensorFlow) and data processing libraries.
 </li>
 <li>
 Deep understanding of NLP techniques (e.g., summarization, paraphrasing, NER, sentiment analysis) and evaluation metrics (BLEU, COMET, ROUGE, METEOR).
 </li>
 <li>
 Familiarity with LLM frameworks (LangGraph, LlamaIndex), RAG design patterns, and multi-agent orchestration with human-in-the-loop processes.
 </li>
 <li>
 Skilled in graph ML, embeddings, and semantic modeling; experienced in building GraphRAG pipelines and applying graph algorithms.
 </li>
 <li>
 Excellent communication and presentation skills; ability to document and explain complex solutions clearly.
 
 
 </li>
 </ul>
 
 Desirable Requirements
 
 
 
 <ul>
 <li>
 Experience with Agile development methodology (e.g., Scrum)
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 We believe that each of us has the power to make an impact. That&rsquo;s why we put our team members at the center of everything we do. If you&rsquo;re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we&rsquo;re looking for you.
 
 
 Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
 
 
 
 Application closing date: 5 January 2026
 
 
 
 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
 
 
 
 Job ID:
 
 R276236
</div>

Consultant, Data Science

Capgemini Invent

<div>
 At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
 
 
 Customer Analytics Senior Consultant
 
 
 As a
 
 Data Scientist
 
 within the
 
 Customer Analytics Advisory
 
 team at Capgemini Invent, you will play a pivotal role in helping clients transform and optimize their operations by leveraging insights from customer, commercial, and operational data. You will advise clients on the design, development, and deployment of advanced analytics and AI solutions that drive measurable business value.
 
 
 
 Responsibilities
 
 
 
 
 Client Advisory &amp; Solution Design
 
 
 
 <ul>
 <li>
 Lead the definition and development of customer analytics and data science solutions.
 </li>
 <li>
 Advise clients on solution architecture, implementation strategies, and best practices.
 </li>
 <li>
 Conduct workshops to identify business pain points, define solution paths, and co-create innovative analytics strategies.
 
 
 </li>
 </ul>
 
 Technical Implementation
 
 
 
 <ul>
 <li>
 Build and deploy machine learning models, customer segmentation algorithms, and predictive analytics solutions.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate analytics into business processes and platforms.
 </li>
 <li>
 Ensure quality assurance, testing, and successful roll-out of analytics solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Mathematics, Statistics, Computer Science, Engineering, or a related STEM field.
 </li>
 <li>
 Proven experience in customer analytics, commercial insights, or operational data science.
 </li>
 <li>
 Strong ability to translate complex data into actionable business insights and recommendations.
 </li>
 <li>
 Hands-on experience with data science tools and programming languages such as Python, SQL, R, or MATLAB.
 </li>
 <li>
 Familiarity with AI/ML techniques, data visualization tools, and cloud platforms.
 </li>
 <li>
 Experience in delivering analytics use cases in industries such as Consumer Products, Retail, Manufacturing, Life Sciences, or Energy &amp; Utilities.
 </li>
 <li>
 Agile project delivery experience and understanding of consulting methodologies.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Must have an awareness of how to Design, develop, and deploy AI-driven solutions to enhance decision-making, automate processes, and improve operational efficiency across the organization
 
 
 </li>
 </ul>
 WHAT YOU&rsquo;LL LOVE ABOUT WORKING HERE?
 
 
 
 
 Empowerment:
 
 
 
 At Capgemini Invent, we:
 
 
 
 <ul>
 <li>
 Lead the change and take initiative
 </li>
 <li>
 Find the work-life balance that suites us
 </li>
 <li>
 Craft or own path through learning and career development programs
 
 
 </li>
 </ul>
 
 
 Energy:
 
 
 
 At Capgemini Invent, we:
 
 
 
 <ul>
 <li>
 Connect as a global community of 13,000+ colleagues worldwide
 </li>
 <li>
 Celebrate our diverse perspectives and draw from strength from our differences
 </li>
 <li>
 Have fun by providing a range of clubs, events and get togethers to celebrate our wins and successes
 
 
 </li>
 </ul>
 
 
 Experiences
 
 
 
 : At Capgemini Invent, we:
 
 
 
 <ul>
 <li>
 Work internally and with clients to make a difference
 </li>
 <li>
 Push boundaries to reimagine what&rsquo;s possible
 </li>
 <li>
 Work to build a more sustainable and inclusive future
 
 
 </li>
 </ul>
 The base compensation range for this role in the posted location is: $112,600 - $212,700
 
 
 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
 
 
 The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
 
 
 These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
 
 
 It is not typical for candidates to be hired at or near the top of the posted compensation range.
 
 
 In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
 
 
 
 Benefits
 
 
 
 
 Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
 
 In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
 
 
 <ul>
 <li>
 Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
 </li>
 <li>
 Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
 </li>
 <li>
 Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
 </li>
 <li>
 Life and disability insurance
 </li>
 <li>
 Employee assistance programs
 </li>
 <li>
 Other benefits as provided by local policy and eligibility
 
 
 </li>
 </ul>
 
 Important Notice:
 
 Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
 
 
 
 Disclaimers
 
 
 
 Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
 
 
 This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
 
 
 Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
 
 
 Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Capgemini Invent, Customer Analytics Sr. Consultant

Microsoft

<div>
 
 Overview
 
 
 
 Are you an experienced Data Scientist, and you love what you do? Would you like to be a part of a global customer facing Team focussed on solving complex, real-world business problems? Would you like to be a part of a worldclass community of technical leaders, highly specialised in their disciplines and working together as one to bring the best practices of Artificial Intelligence, Machine learning, Engineering and Architecture to world&rsquo;s largest enterprise customers?
 
 
 The Industry Solutions Delivery (ISD) Engineering &amp; Architecture Group (EAG) is a global engineering consulting organisation that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data &amp; AI.  EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate ethical, transparent and trustworthy AI solutions.
 
 
 We are hiring a Data Scientist with deep experience in advanced statistical data analysis, machine learning and artificial intelligence.
 
 
 Our team embraces a continuous learning and growth mindset, encourages diverse viewpoints and relentless collaboration. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact economy and people worldwide.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
 </li>
 <li>
 Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity.
 </li>
 <li>
 Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders.
 </li>
 <li>
 Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process.
 </li>
 <li>
 Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems.
 
 
 </li>
 </ul>
 Business Understanding and Impact
 
 
 Leverages understanding of data science and business to examine a project and consider factors that can influence final outcomes within a technical area. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Documents key business objectives. Effectively communicates business goals in analytical and technical terms. Consistently shares insights with stakeholders.
 
 
 Data Preparation and Understanding
 
 
 Acquires necessary data for project completion and describes it using querying, visualization, and reporting techniques. Explores data for key attributes and contributes to development of quality reports. Collaborates with others to perform data-science experiments using established methodologies and tools. Partners with Solution Architects, Consultants, and Data Engineers in data preparation efforts. Identifies data integrity problems and adheres to Microsoft's privacy policy.
 
 
 Modeling and Statistical Analysis
 
 
 Applies machine learning knowledge to identify the best approach for project objectives, utilizing individual algorithms and modeling techniques. Selects the appropriate approach to prepare data, train, optimize, and evaluate the model for statistical and business significance. Writes scripts in SQL, Python, R, etc. Designs experiments, analyzes results, and communicates findings to stakeholders. Understands operational considerations for model deployment and partners with data engineering teams to develop operational models.
 
 
 Evaluation
 
 
 Understands the relationship between the model and business objectives. Tests models on test and production data, analyzes performance, and incorporates customer feedback. Reviews data analysis and modeling techniques to identify overlooked or reexamined factors. Contributes to the review summary.
 
 
 Industry and Research Knowledge/Opportunity Identification
 
 
 Learns and understands the current state of the industry, including knowledge of tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance. Maintains knowledge of current trends within the discipline. Attends internal research conferences and participates in on-hands training, when appropriate. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
 
 
 Coding and Debugging
 
 
 Writes efficient and readable code for specific features, collaborating with other engineering teams to optimize code and improve system efficiency, reliability, and maintainability. Develops expertise in debugging techniques and integrates data models into customer systems. Understands big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, CI/CD, Docker, Delta Lake, MLflow, AML, and REST API consumption/development.
 
 
 Business Management
 
 
 Develops understanding of data structures and relationship to customer business goals, observes senior engineers for best practices in identifying growth opportunities and exploring ML applications. Understands customer business goals and demonstrates a strong commitment to Responsible AI, supporting customers, partners and internal stakeholders in building trustworthy AI solutions.
 
 
 Customer/Partner Orientation
 
 
 Focuses on customer needs, manages expectations, and enhances customer excellence. Learns from senior team members to develop insights and communicate results. Understands the impact of data quality on model accuracy and can explain it to customers.
 
 
 
 Other
 
 
 
 Embody our culture and values
 
 
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field, with proven 4 years of data science experience in business context.
 </li>
 <li>
 Be able to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges.
 </li>
 <li>
 Hands-on software engineering experience (e.g. Python, Scikit, PyTorch,C++) with main established data science frameworks.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with building and deploying largescale AI solutions into production within a cloud environment
 </li>
 <li>
 Experience dealing with internal and external stakeholders on large, complex projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist 2

The Cigna Group

<div>HIH &ndash; Data Science Advisor 
 
ABOUT EVERNORTH: 
Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don&rsquo;t, won&rsquo;t or can&rsquo;t. 
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference. 
We are always looking upward. And that starts with finding the right talent to help us get there. 
Job Description
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
Do you have a passion for machine learning / artificial intelligence? Are you excited about using your skills to help individuals improve their health?
Evernorth&rsquo;s Data Science Center of Excellence applies advanced Data Science (DS), Artificial Intelligence (AI) and Machine Learning (ML) to produce solutions that reduce customer health costs and improve outcomes and business processes. Using state of the art AI tools, DS platforms, ML libraries, and optimization tools, we leverage internal, external, online and offline data sources comprising clinical, provider &amp; Rx data, and behavioral/attitudinal data.
Role Summary
Using your knowledge of ML / AI, you will build technologies to generate descriptive and predictive insights on how we can better serve throughout their customer journey, with digital assets we have. Your work will require deep acquaintance with Evernorth&rsquo;s data, seeking to find ways to deliver value through advanced feature engineering. From your models, you will deliver actionable insights that can be incorporated into existing digital and marketing solutions as well as informing on new strategy. In addition to collaborating with Data Science Management and Business Analytics partners to establish strategic priorities, you will work closely with Data &amp; Engineering to deliver code that is robust and ready to scale.<ul><li>
Data acquisition, QC and exploratory analysis on transactional member data</li><li>
Create models using ML / AI techniques to predict risk and identify actionable insights</li><li>
Deliver clean, reusable, and scalable code</li><li>
Work closely with Data &amp; Engineering to deploy models</li><li>
Partner with senior team members on the latest analytic techniques, technologies, and methods</li></ul>
Qualifications
Required Education<ul><li>
MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience</li></ul>
Required Skills<ul><li>
The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.</li></ul>
Required Experience<ul><li>
8-12 years of industry experience with Data Mining, Statistical Analysis and leading ML / AI methods; XGBoost, Light GBM, deep learning, reinforcement learning, optimization required</li><li>
5-8 years of experience with Python, PySpark and its data science libraries</li><li>
Excellent oral and written communication skills</li></ul>
Desired Experience<ul><li>
Prior experience working in the healthcare industry, services ops or digital domain</li><li>
Experience with deploying predictive models into production</li><li>
Experience working with business stakeholders</li></ul>
Location &amp; Hours of Work<ul><li>
Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate</li><li>
Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)</li></ul>
Equal Opportunity Statement
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
About Evernorth Health Services<div><div><div><div><div><div><div>
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.</div></div></div></div></div></div></div></div>

Data Science Advisor - HIH - Evernorth

Dataiku

<div>
 Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Senior Data Scientist

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