data science consultant

EPAM Systems

<div><p>Join our technology and business consulting team as a <b>Data Science Consultant,</b> where you will lead machine learning projects from concept through deployment and support clients in leveraging AI/ML solutions.</p><p>
If you are passionate about advancing your expertise in data science and contributing to ethical AI practices, we encourage you to apply.</p><p><b>
Responsibilities</b></p><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><p><b>
Requirements</b></p><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><p><b>
Nice to have</b></p><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><p><b>
We offer</b></p><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><p><i>
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.</i></p></div>

Data Science Consultant

Convo

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Data Platform Configuration Consultant at Convo, you will play a pivotal role in bridging client business requirements with the technical capabilities of our SaaS revenue management platform. This position involves hands-on configuration, implementation, and technical leadership to deliver scalable, secure, and high-quality solutions for our clients in the consumer goods and enterprise sectors.
 <br/>
 <br/>
 You will collaborate closely with both client and internal teams to ensure that our solutions drive measurable business value, support advanced data-driven decision-making, and meet project objectives.
 <br/>
 <br/>
 Success in this role requires a combination of
 <strong>
  technical expertise
 </strong>
 ,
 <strong>
  data science exposure
 </strong>
 ,
 <strong>
  ERP system knowledge
 </strong>
 , and a
 <strong>
  consultative approach
 </strong>
 to problem-solving, configuration, and business engagement.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 As a Data Platform Configuration Consultant, your role combines
 <strong>
  functional consulting
 </strong>
 and
 <strong>
  technical data management
 </strong>
 responsibilities with an emphasis on the following:
 <br/>
 <br/>
 <ul>
  <li>
   Hands-on configuration of platform components, data structures, and workflows.
  </li>
  <li>
   Translation of client business processes into system design and configuration.
  </li>
  <li>
   Collaboration with technical teams on data integration, quality, and optimal flows.
  </li>
  <li>
   Leading workshops to gather and validate functional and technical requirements.
  </li>
  <li>
   Configure and document end-to-end solutions using the SaaS platform to meet customer business and technical requirements, ensuring scalability, security, and performance.
  </li>
  <li>
   Analyse the data interfaces to ensure data aligns with ERP specifications, validating data against functional checks, and identifying business scenarios violated by the data
  </li>
  <li>
   Lead and guide technical and business teams across multiple projects, optimizing resources and promoting best practices.
  </li>
  <li>
   Provide expertise in the solution, clearly articulating configuration options and benefits to client business processes, leading discussions on RGM and tying these back to data insights.
  </li>
  <li>
   Driving clients in key configuration decisions in order to maximize business value from our platform
  </li>
  <li>
   Conduct workshops with client teams to gather, formalize, and challenge requirements, translating them into clear functional blueprints and configuration specifications, and ensure system configurations and integrations meet client requirements while minimizing customization
  </li>
  <li>
   Conduct gap analysis on client requirements versus standard platform capabilities, recommending configuration options or integration strategies.
  </li>
  <li>
   Ensure timely data availability, transformation, and enrichment through ETL pipelines and data integration workflows, focusing on data accuracy and usability.
  </li>
  <li>
   Strong understanding of data analysis tools and approaches
  </li>
  <li>
   Provide advisory input on data architecture, data models, and data integration points to enable analytics and reporting.
  </li>
  <li>
   Facilitate test script creation, integration testing, and user acceptance testing to ensure solution quality.
  </li>
  <li>
   Provide technical governance and assurance throughout the delivery lifecycle, identifying and mitigating business and technical risks.
  </li>
  <li>
   Act as a bridge between client and product teams, providing actionable feedback to support continuous improvement.
  </li>
  <li>
   Collaborate with data and integration engineers to ensure accurate data mapping and flow
  </li>
  <li>
   Coach and mentor team members, fostering skill development across solution design, data management, and ERP integration.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Sciences, Data Science, or a related discipline (or equivalent experience).
  </li>
  <li>
   8+ years of experience in configuring and implementing ERP/SaaS solutions, ideally within the CPG or revenue management domain.
  </li>
  <li>
   Proven experience in data modelling and data integration.
  </li>
  <li>
   Strong understanding of ETL processes, data pipelines, and tools for data transformation and integration.
  </li>
  <li>
   Familiarity with Python including NumPy, Pandas and SQL, is a plus
  </li>
  <li>
   Experience with configuringERP systems such as Microsoft Dynamics 365, SAP, Salesforce or equivalent enterprise platforms is a plus
  </li>
  <li>
   Strong analytical skills and a passion for data-driven process optimization.
  </li>
  <li>
   Experience in leading technical teams and managing multiple projects simultaneously.
  </li>
  <li>
   Excellent communication and interpersonal skills, with the ability to facilitate workshops and translate business needs into technical solutions.
  </li>
  <li>
   Highly organized, proactive, and detail-oriented, with a pragmatic approach to problem-solving.
  </li>
  <li>
   Fluent in English with outstanding written and verbal communication abilities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Have For You
  <br/>
  <br/>
 </strong>
 Great compensation package, provident fund, medical benefits for you and your family, an opportunity to participate in company stock ownership plans, meals, frequent performance-tied increments &amp; performance recognition awards, super-cool team members to learn with, and a great lean and agile work culture!
</div>


Data Platform Configuration Consultant

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

Microsoft

<div><div>Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!<br>
<br>
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.</div><div></div><div><br>
We work closely with our customers&rsquo; engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.</div><div></div><div><br>
We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.</div><div></div><div><br>
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.</div><div></div><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
You will oversee data acquisition and ensure data is properly formatted and described. You&rsquo;ll also coach engineers in data cleaning and analysis best practices, identify gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.</li><li>
You will evaluate your team&rsquo;s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You&rsquo;ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.</li><li>
You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You&rsquo;ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.</li><li>
You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You&rsquo;ll also commit to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities.</li><li>
You will embody our culture and values.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required/Minimum Qualifications (RQs/MQs)</b></div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li><li>
3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.</li></ul><div></div><div><b><br>
Additional</b><b> </b><b>or Preferred Qualifications (PQs)</b></div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results</li><li>
OR equivalent experience.</li><li>
Enjoy travel and are comfortable with travel up to 25%</li></ul><div></div><div><br>
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!</div><div></div><div><br>
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It&rsquo;s an informal and flexible work environment and you&rsquo;ll be welcome to work in the way that best enables you to get your job done.</div><div></div><div><br>
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.</div><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Principal Data Scientist

Dentsu

<div>The purpose of this role is to deliver analysis inline with client business objectives, goals, and to maintain, develop and exceed client performance targets.<div></div><div>
Job Description:</div><div>
Key responsibilities:<br>
Develops data science based solutions for clients based on marketing problems<br>
Leads sales meetings and present our value proposition around how data science drive business value for customers<br>
Sets team development and training objectives<br>
Builds client relationships to drive value and long-term growth<br>
Communicates findings and insights</div><div></div><div>
Location:</div>
DGS India - Bengaluru - Manyata N1 Block<div></div><div>
Brand:</div>
Merkle<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent</div>

Senior Analyst

Infosys

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>Supply Chain Optimization SME</li>
<li>Data Science</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>A day in the life of an Infoscion</li>
<li>As part of the Infosys consulting team your primary role would be to lead the engagement effort of providing high quality and value adding consulting solutions to customers at different stages from problem definition to diagnosis to solution design development and deployment</li>
<li>You will review the proposals prepared by consultants provide guidance and analyze the solutions defined for the client business problems to identify any potential risks and issues</li>
<li>You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms</li>
<li>You will also coach and create a vision for the team provide subject matter training for your focus areas motivate and inspire team members through effective and timely feedback and recognition for high performance</li>
<li>You would be a key contributor in unit level and organizational initiatives with an objective of providing high quality value adding consulting solutions to customers adhering to the guidelines and processes of the organization</li>
<li>If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you</li></ul><br>
<h2 class="jobSectionHeader"><b>
Technical Requirements:</b></h2><br>
<ul>
<li>Primary skills Domain Supply Chain Management Supply Chain Collaboration</li></ul><br>
<h2 class="jobSectionHeader"><b>
Additional Responsibilities:</b></h2><br>
<ul>
<li>Good knowledge on software configuration management systems</li>
<li>Strong business acumen strategy and cross industry thought leadership</li>
<li>Awareness of latest technologies and Industry trends</li>
<li>Logical thinking and problem solving skills along with an ability to collaborate</li>
<li>Two or three industry domain knowledge</li>
<li>Understanding of the financial processes for various types of projects and the various pricing models available</li>
<li>Client Interfacing skills</li>
<li>Knowledge of SDLC and agile methodologies</li>
<li>Project and Team management</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Domain-&gt;Supply Chain Management-&gt;Supply Chain Collaboration</div>

Supply Chain/Optimization SME

<div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<ul>
<li>A Pricing Revenue Growth Consultant advise to build a pricing and promotion tool for CPG client which would have pricing strategies trade promotions and revenue growth initiatives</li>
<li>This will involve building analytics and machine learning models for price elasticity promotion effectiveness and trade promotion optimization</li>
<li>Consultant would require collaborating with CPG business marketing data scientist and other teams for a successful delivery of project and tool</li>
<li>Required Skills</li>
<li>Business Domain Skills</li>
<li>o Trade Promotion Management TPM Trade Promotion Optimization TPO Trade Spend Efficiency</li>
<li>o Promotion Depth Frequency Forecasting Scenario and Effectiveness</li>
<li>o Price Pack Architecture Pricing Elasticity and Price Sensitivity</li>
<li>o Competitive Price tracking benchmarking and effectiveness</li>
<li>o Revenue Growth Management Category and Channel Growth Market Entry and New Product Pricing</li>
<li>o Financial Modeling Dynamic pricing implementation</li>
<li>o AI Machine Learning for Pricing</li></ul><br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><br>
<ul>
<li>Consulting Skills</li>
<li>o Hypothesis driven problem solving</li>
<li>o Go to market pricing and revenue growth execution</li>
<li>o Advisory Presentation Data Storytelling</li>
<li>o Project Leadership and Execution</li></ul><br>
<h2 class="jobSectionHeader"><b>
Technical Requirements:</b></h2><br>
<ul>
<li>Technical Skills</li>
<li>o Proficiency in programming languages like Python and R for data manipulation and analysis</li>
<li>o Expertise in machine learning algorithms and statistical modeling techniques</li>
<li>o Familiarity with data warehousing and data pipelines</li>
<li>o Experience with data visualization tools like Tableau or Power BI</li>
<li>o Experience in Cloud platforms e</li>
<li>g</li>
<li>ADF Data bricks Azure and their AI services</li></ul><br>
<h2 class="jobSectionHeader"><b>
Additional Responsibilities:</b></h2><br>
<ul>
<li>Typical Work Environment</li>
<li>Collaborative work with cross functional teams across sales marketing and product development</li>
<li>Stakeholder Management Team Handling</li>
<li>Fast paced environment with a focus on delivering timely insights to support business decisions</li>
<li>Excellent problem solving skills and ability to address complex technical challenges</li>
<li>Effective communication skills to collaborate with cross functional teams and stakeholders</li>
<li>Potential to work on multiple projects simultaneously prioritizing tasks based on business impact</li>
<li>Qualification</li>
<li>Degree in Data Science Computer Science with data science specialization</li>
<li>Master s in business administration and Analytics preferred</li></ul><br>
<h2 class="jobSectionHeader"><b>
Preferred Skills:</b></h2>
Technology-&gt;Big Data-&gt;Text Analytics</div>

Pricing and Revenue Growth Consultant

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