5 Predictive Analysis Jobs

Experience: 2 + years Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Office (Pune) Placement Type: Full Time Permanent position Must have skills required: Airflow, LLMs, NLP, Statistical Modeling, Predictive Analysis, Forecasting, Python, SQL, MLFlow, pandas, Scikit-learn, XgBoost As an ML / Data Science Engineer at Anervea, youll work on designing, training, deploying, and maintaining machine learning models across multiple products. Youll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. Youll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful. Key Responsibilities Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required : Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering, model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes : Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomesnot just code Bonus Qualities : Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions

We are looking for a skilled Data Analyst with excellent communication skills and deep expertise in SQL, Tableau, and modern data warehousing technologies. This role involves designing data models, building insightful dashboards, ensuring data quality, and extracting meaningful insights from large datasets to support strategic business decisions. Key Responsibilities: Write advanced SQL queries to retrieve and manipulate data from cloud data warehouses such as Snowflake, Redshift, or BigQuery. Design and develop data models that support analytics and reporting needs. Build dynamic, interactive dashboards and reports using tools like Tableau, Looker, or Domo. Perform advanced analytics techniques including cohort analysis, time series analysis, scenario analysis, and predictive analytics. Validate data accuracy and perform thorough data QA to ensure high-quality output. Investigate and troubleshoot data issues; perform root cause analysis in collaboration with BI or data engineering teams. Communicate analytical insights clearly and effectively to stakeholders. Required Skills & Qualifications: Excellent communication skills are mandatory for this role. 5+ years of experience in data analytics, BI analytics, or BI engineering roles. Expert-level skills in SQL, with experience writing complex queries and building views. Proven experience using data visualization tools like Tableau, Looker, or Domo. Strong understanding of data modeling principles and best practices. Hands-on experience working with cloud data warehouses such as Snowflake, Redshift, BigQuery, SQL Server, or Oracle. Intermediate-level proficiency with spreadsheet tools like Excel, Google Sheets, or Power BI, including functions, pivots, and lookups. Bachelor's or advanced degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Information Systems. Ability to collaborate with cross-functional teams, including BI engineers, to optimize reporting solutions. Experience in handling large-scale enterprise data environments. Familiarity with data governance, data cataloging, and metadata management tools (a plus but not required).

We are looking for a skilled Data Analyst with excellent communication skills and deep expertise in SQL, Tableau, and modern data warehousing technologies. This role involves designing data models, building insightful dashboards, ensuring data quality, and extracting meaningful insights from large datasets to support strategic business decisions. Key Responsibilities: Write advanced SQL queries to retrieve and manipulate data from cloud data warehouses such as Snowflake, Redshift, or BigQuery. Design and develop data models that support analytics and reporting needs. Build dynamic, interactive dashboards and reports using tools like Tableau, Looker, or Domo. Perform advanced analytics techniques including cohort analysis, time series analysis, scenario analysis, and predictive analytics. Validate data accuracy and perform thorough data QA to ensure high-quality output. Investigate and troubleshoot data issues; perform root cause analysis in collaboration with BI or data engineering teams. Communicate analytical insights clearly and effectively to stakeholders. Required Skills & Qualifications: Excellent communication skills are mandatory for this role. 5+ years of experience in data analytics, BI analytics, or BI engineering roles. Expert-level skills in SQL, with experience writing complex queries and building views. Proven experience using data visualization tools like Tableau, Looker, or Domo. Strong understanding of data modeling principles and best practices. Hands-on experience working with cloud data warehouses such as Snowflake, Redshift, BigQuery, SQL Server, or Oracle. Intermediate-level proficiency with spreadsheet tools like Excel, Google Sheets, or Power BI, including functions, pivots, and lookups. Bachelor's or advanced degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Information Systems. Ability to collaborate with cross-functional teams, including BI engineers, to optimize reporting solutions. Experience in handling large-scale enterprise data environments. Familiarity with data governance, data cataloging, and metadata management tools (a plus but not required). Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Key Skills: Marketing Analytics, Analytics, SQL, Python, Business Analysis, Predictive Analysis, Statistical Analysis. Roles and Responsibilities: Gathers operational data from various cross-functional stakeholders to examine past business performance. Identifies data patterns and trends, and provides insights to enhance business decision-making capability in business planning, process improvement, solution assessment, etc. Recommends actions for future developments and strategic business opportunities, as well as enhancements to operational policies. May be involved in exploratory data analysis, confirmatory data analysis, and/or qualitative analysis. Translates data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicates clearly and effectively to business partners and senior leaders all findings. Continuously improves processes and strategies by exploring and evaluating new data sources, tools, and capabilities. Works closely with internal and external business partners in building, implementing, tracking, and improving decision strategies. Appropriately assesses risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing, and reporting control issues with transparency. Experience Requirement: 3-8 years of relevant experience in business analytics, data analysis, or business intelligence roles. Proven experience in using analytical tools such as SQL, Excel, Python, or R to extract and analyze data. Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms. Experience working in cross-functional teams and supporting decision-making through data-driven insights. Strong track record of identifying business trends and providing actionable recommendations based on data analysis. Demonstrated ability to handle multiple projects simultaneously with a strong attention to detail. Education: B.Tech M.Tech (Dual), MCA, B.Tech.

Position - Project / Sr. Project Engineer - Data Analyst ( Process control, design and audit experience with Power BI skills) We are seeking an analytical and detail-oriented Project / Sr. Project Engineer - Data Analyst with 3 to 5 years of professional experience. This role requires a strong background in process design & control, focusing on optimizing operational workflows and ensuring data integrity. The ideal candidate will possess a deep understanding of Data management, data assurance, or data science, coupled with experience in data verification, audits, and process control & design. Your primary responsibilities will include analyzing complex business processes, identifying areas for improvement, and designing data-driven solutions to enhance efficiency and accuracy. You will be responsible for developing and implementing data governance strategies, ensuring the reliability and quality of data. Proficiency in Power BI is essential, as you will be creating interactive dashboards, reports, and compelling data visualizations to present insights to stakeholders. Experience with predictive analysis will be a significant advantage, enabling you to forecast trends and support proactive decision-making. Furthermore, you will champion innovative data visualization techniques to communicate complex information clearly and effectively. This role requires a strong analytical mindset, excellent problem-solving skills, and the ability to collaborate across various departments to drive process improvements and data-driven strategies.